2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets...
-
Upload
philippa-obrien -
Category
Documents
-
view
215 -
download
0
Transcript of 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets...
![Page 1: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/1.jpg)
2 - 2 - 11
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Statistics for Business Statistics for Business and Economicsand Economics
Methods for Describing Methods for Describing Sets of Data Sets of Data
Chapter 2Chapter 2
![Page 2: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/2.jpg)
2 - 2 - 22
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Learning ObjectivesLearning Objectives
1.1. Describe Qualitative Data GraphicallyDescribe Qualitative Data Graphically
2.2. Describe Numerical Data GraphicallyDescribe Numerical Data Graphically
3.3. Create & Interpret Graphical DisplaysCreate & Interpret Graphical Displays
4.4. Explain Numerical Data PropertiesExplain Numerical Data Properties
5.5. Describe Summary MeasuresDescribe Summary Measures
6.6. Analyze Numerical Data Using Summary Analyze Numerical Data Using Summary Measures Measures
![Page 3: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/3.jpg)
2 - 2 - 33
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Thinking ChallengeThinking Challenge
Our market Our market share far exceeds all share far exceeds all competitors! - VPcompetitors! - VP
30%30% 32%32% 34%34% 36%36%
Us
YY
XX
![Page 4: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/4.jpg)
2 - 2 - 44
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Data PresentationData Presentation
SummaryTable
DotChart
PieChart
NumericalData
DataPresentation
BarChart
QualitativeData
Stem-&-LeafDisplay
FrequencyDistribution
Histogram
SummaryTable
DotChart
PieChart
NumericalData
DataPresentation
BarChart
QualitativeData
Stem-&-LeafDisplay
FrequencyDistribution
Histogram
![Page 5: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/5.jpg)
2 - 2 - 55
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Presenting Presenting Qualitative DataQualitative Data
![Page 6: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/6.jpg)
2 - 2 - 66
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Data PresentationData Presentation
SummaryTable
DotChart
PieChart
NumericalData
DataPresentation
BarChart
QualitativeData
Stem-&-LeafDisplay
FrequencyDistribution
Histogram
SummaryTable
DotChart
PieChart
NumericalData
DataPresentation
BarChart
QualitativeData
Stem-&-LeafDisplay
FrequencyDistribution
Histogram
![Page 7: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/7.jpg)
2 - 2 - 77
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Summary TableSummary Table
1.1. Lists Categories & No. Elements in CategoryLists Categories & No. Elements in Category
2.2. Obtained by Tallying Responses in CategoryObtained by Tallying Responses in Category
3.3. May Show Frequencies (Counts), % or BothMay Show Frequencies (Counts), % or Both
Row Is Category
Tally:|||| |||||||| ||||
Major CountAccounting 130Economics 20Management 50Total 200
![Page 8: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/8.jpg)
2 - 2 - 88
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Data PresentationData Presentation
SummaryTable
DotChart
PieChart
NumericalData
DataPresentation
BarChart
QualitativeData
Stem-&-LeafDisplay
FrequencyDistribution
Histogram
SummaryTable
DotChart
PieChart
NumericalData
DataPresentation
BarChart
QualitativeData
Stem-&-LeafDisplay
FrequencyDistribution
Histogram
![Page 9: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/9.jpg)
2 - 2 - 99
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
00 5050 100100 150150
Acct.Acct.
Econ.Econ.
Mgmt.Mgmt.
Bar ChartBar Chart
Horizontal Horizontal Bars for Bars for Categorical Categorical VariablesVariables
Bar Length Bar Length Shows Shows Frequency Frequency or %or %
1/2 to 1 Bar 1/2 to 1 Bar WidthWidth
Equal Bar Equal Bar WidthsWidths
Zero PointZero Point
FrequencyFrequency
MajorMajor
Percent Used AlsoPercent Used Also
![Page 10: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/10.jpg)
2 - 2 - 1010
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Data PresentationData Presentation
SummaryTable
DotChart
PieChart
NumericalData
DataPresentation
BarChart
QualitativeData
Stem-&-LeafDisplay
FrequencyDistribution
Histogram
SummaryTable
DotChart
PieChart
NumericalData
DataPresentation
BarChart
QualitativeData
Stem-&-LeafDisplay
FrequencyDistribution
Histogram
![Page 11: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/11.jpg)
2 - 2 - 1111
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Econ.10%
Mgmt.25%
Acct.65%
Pie ChartPie Chart
1.1. Shows Shows Breakdown of Total Breakdown of Total Quantity Quantity into Categoriesinto Categories
2.2. Useful for Useful for Showing Relative Showing Relative DifferencesDifferences
3.3. Angle SizeAngle Size (360°)(Percent) (360°)(Percent)
Majors
(360°) (10%) = 36°
36°
![Page 12: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/12.jpg)
2 - 2 - 1212
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Data PresentationData Presentation
SummaryTable
DotChart
PieChart
NumericalData
DataPresentation
BarChart
QualitativeData
Stem-&-LeafDisplay
FrequencyDistribution
Histogram
SummaryTable
DotChart
PieChart
NumericalData
DataPresentation
BarChart
QualitativeData
Stem-&-LeafDisplay
FrequencyDistribution
Histogram
![Page 13: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/13.jpg)
2 - 2 - 1313
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
00 5050 100100 150150
Acct.Acct.
Econ.Econ.
Mgmt.Mgmt.
Dot ChartDot Chart
FrequencyFrequency
MajorMajor Line Length Line Length Shows Shows Frequency or %Frequency or %
Equal Equal SpacingSpacing
Like Like Horizontal Horizontal Bar ChartBar Chart
Percent Used AlsoPercent Used Also
Horizontal Horizontal Lines for Lines for Categorical Categorical VariablesVariables
Zero PointZero Point
![Page 14: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/14.jpg)
2 - 2 - 1414
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Graphical ExcellenceGraphical Excellence
1.1. Greatest Number Greatest Number of Ideas of Ideas
2.2. Shortest Time to Shortest Time to UnderstandUnderstand
3.3. Least ‘Ink’Least ‘Ink’(Fill & Lines)(Fill & Lines)
4.4. Smallest SpaceSmallest Space
Dot ChartDot Chart
Bar ChartBar Chart
Pie ChartPie Chart
![Page 15: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/15.jpg)
2 - 2 - 1515
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Thinking ChallengeThinking Challenge
You’re an analyst for You’re an analyst for IRI. You want to show IRI. You want to show the market shares held the market shares held by Windows program by Windows program manufacturers in 1992. manufacturers in 1992. Construct a Construct a barbar chart, chart, piepie chart, & chart, & dotdot chart chart to describe the data.to describe the data.
Mfg.Mfg. Mkt. Share (%)Mkt. Share (%)LotusLotus 1515MicrosoftMicrosoft 6060WordPerfectWordPerfect 1010OthersOthers 1515
![Page 16: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/16.jpg)
2 - 2 - 1616
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Bar Chart Solution*Bar Chart Solution*
Market Share (%)Market Share (%)
Mfg.Mfg.
0%0% 20%20% 40%40% 60%60%
LotusLotus
MicrosoftMicrosoft
Wordperf.Wordperf.
OthersOthers
![Page 17: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/17.jpg)
2 - 2 - 1717
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Pie Chart Solution*Pie Chart Solution*
Market ShareMarket Share
LotusLotus15%15%
OthersOthers15%15%Wordperf.Wordperf.
10%10%
MicrosoftMicrosoft60%60%
![Page 18: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/18.jpg)
2 - 2 - 1818
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Dot Chart Solution*Dot Chart Solution*
Market Share (%)Market Share (%)
Mfg.Mfg.
0%0% 20%20% 40%40% 60%60%
OthersOthers
Wordperf.Wordperf.
MicrosoftMicrosoft
LotusLotus
![Page 19: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/19.jpg)
2 - 2 - 1919
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Presenting Presenting Numerical DataNumerical Data
![Page 20: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/20.jpg)
2 - 2 - 2020
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Data PresentationData Presentation
SummaryTable
DotChart
PieChart
NumericalData
DataPresentation
BarChart
QualitativeData
Stem-&-LeafDisplay
FrequencyDistribution
Histogram
SummaryTable
DotChart
PieChart
NumericalData
DataPresentation
BarChart
QualitativeData
Stem-&-LeafDisplay
FrequencyDistribution
Histogram
![Page 21: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/21.jpg)
2 - 2 - 2121
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Stem-and-Leaf Stem-and-Leaf DisplayDisplay
1.1. Divide Each Divide Each Observation into Stem Observation into Stem Value and Leaf ValueValue and Leaf Value
Stem Value Defines Stem Value Defines ClassClass
Leaf Value Defines Leaf Value Defines Frequency (Count)Frequency (Count)
2 144677
3 028
4 1
2. Data: 21, 24, 24, 2. Data: 21, 24, 24, 2626, 27, 27, 30, 32, 38, 41, 27, 27, 30, 32, 38, 41
2626
![Page 22: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/22.jpg)
2 - 2 - 2222
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Data PresentationData Presentation
SummaryTable
DotChart
PieChart
NumericalData
DataPresentation
BarChart
QualitativeData
Stem-&-LeafDisplay
FrequencyDistribution
Histogram
SummaryTable
DotChart
PieChart
NumericalData
DataPresentation
BarChart
QualitativeData
Stem-&-LeafDisplay
FrequencyDistribution
Histogram
![Page 23: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/23.jpg)
2 - 2 - 2323
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Frequency Frequency Distribution TableDistribution Table
Raw Data: 24, 26, 24, 21, 27, 27, 30, 41, 32, 38Raw Data: 24, 26, 24, 21, 27, 27, 30, 41, 32, 38
ClassClass FrequencyFrequency
15 but < 2515 but < 25 33
25 but < 3525 but < 35 55
35 but < 4535 but < 45 22
![Page 24: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/24.jpg)
2 - 2 - 2424
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Frequency Frequency Distribution Table Distribution Table
StepsSteps
1.1. Determine RangeDetermine Range
2.2. Select Number of ClassesSelect Number of Classes UsuallyUsually Between 5 & 15 Inclusive Between 5 & 15 Inclusive
3.3. Compute Class Intervals (Width)Compute Class Intervals (Width)
4.4. Determine Class Boundaries (Limits)Determine Class Boundaries (Limits)
5.5. Compute Class MidpointsCompute Class Midpoints
6.6. Count Observations & Assign to ClassesCount Observations & Assign to Classes
![Page 25: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/25.jpg)
2 - 2 - 2525
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Frequency Frequency Distribution Table Distribution Table
ExampleExampleRaw Data: Raw Data: 2424, , 2626, , 2424, , 2121, , 27, 27, 3027, 27, 30, , 4141, , 3232, , 3838
BoundariesBoundaries (Upper + Lower Boundaries) / 2(Upper + Lower Boundaries) / 2
WidthWidth
ClassClass MidpointMidpoint FrequencyFrequency
15 but < 2515 but < 25 2020 33
25 but < 3525 but < 35 3030 55
35 but < 4535 but < 45 4040 22
![Page 26: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/26.jpg)
2 - 2 - 2626
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Relative Frequency & Relative Frequency & % Distribution Tables% Distribution Tables
Percentage Percentage DistributionDistribution
Relative Frequency Relative Frequency DistributionDistribution
ClassClass Prop.Prop.
15 but < 2515 but < 25 .3.3
25 but < 3525 but < 35 .5.5
35 but < 4535 but < 45 .2.2
ClassClass %%
15 but < 2515 but < 25 30.030.0
25 but < 3525 but < 35 50.050.0
35 but < 4535 but < 45 20.020.0
![Page 27: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/27.jpg)
2 - 2 - 2727
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Cumulative Cumulative Percentage Percentage
Distribution TableDistribution Table
Percentage Less Percentage Less than than LowerLower Class Class Boundary Boundary
Raw Data: Raw Data: 2424, , 2626, , 2424, , 2121, , 27, 27, 3027, 27, 30, , 4141, , 3232, , 3838
Lower Lower Class Class Boundary Boundary 30% + 50%30% + 50%
80% + 20%80% + 20%
ClassClass CumulativeCumulativePercentagePercentage
15 but < 2515 but < 25 0.00.0
25 but < 3525 but < 35 30.030.0
35 but < 4535 but < 45 80.080.0
45 but < 5545 but < 55 100.0100.0
![Page 28: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/28.jpg)
2 - 2 - 2828
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Data PresentationData Presentation
SummaryTable
DotChart
PieChart
NumericalData
DataPresentation
BarChart
QualitativeData
Stem-&-LeafDisplay
FrequencyDistribution
Histogram
SummaryTable
DotChart
PieChart
NumericalData
DataPresentation
BarChart
QualitativeData
Stem-&-LeafDisplay
FrequencyDistribution
Histogram
![Page 29: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/29.jpg)
2 - 2 - 2929
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
00
11
22
33
44
55
HistogramHistogram
FrequencyFrequency
Relative Relative FrequencyFrequency
PercentPercent
00 1515 2525 3535 4545 5555
Lower BoundaryLower Boundary
Bars Bars TouchTouch
ClassClass Freq.Freq.15 but < 2515 but < 25 3325 but < 3525 but < 35 5535 but < 4535 but < 45 22
CountCount
![Page 30: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/30.jpg)
2 - 2 - 3030
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Numerical Data Numerical Data PropertiesProperties
![Page 31: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/31.jpg)
2 - 2 - 3131
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Thinking ChallengeThinking Challenge
... employees cite low ... employees cite low pay -- most workers pay -- most workers earn only $20,000.earn only $20,000.
... President claims ... President claims average pay is $70,000!average pay is $70,000!
$400,000$400,000
$70,000$70,000
$50,000$50,000
$30,000$30,000
$20,000$20,000
![Page 32: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/32.jpg)
2 - 2 - 3232
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Standard NotationStandard Notation
MeasureMeasure SampleSample PopulationPopulation
MeanMean XX
Stand. Dev.Stand. Dev. SS
VarianceVariance SS22 22
SizeSize nn NN
![Page 33: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/33.jpg)
2 - 2 - 3333
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Numerical Data Numerical Data PropertiesProperties
Central Tendency Central Tendency (Location)(Location)
Variation Variation (Dispersion)(Dispersion)
ShapeShape
![Page 34: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/34.jpg)
2 - 2 - 3434
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Numerical DataNumerical DataProperties & Properties &
MeasuresMeasuresNumerical Data
Properties
MeanMean
MedianMedian
ModeMode
CentralTendency
RangeRange
VarianceVariance
Standard DeviationStandard Deviation
Variation
SkewSkew
Shape
Interquartile RangeInterquartile Range
![Page 35: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/35.jpg)
2 - 2 - 3535
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Central TendencyCentral Tendency
![Page 36: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/36.jpg)
2 - 2 - 3636
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Numerical DataNumerical DataProperties & Properties &
MeasuresMeasuresNumerical Data
Properties
MeanMean
MedianMedian
ModeMode
CentralTendency
RangeRange
VarianceVariance
Standard DeviationStandard Deviation
Variation
SkewSkew
Shape
Interquartile RangeInterquartile Range
![Page 37: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/37.jpg)
2 - 2 - 3737
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
MeanMean
1.1. Measure of Central TendencyMeasure of Central Tendency
2.2. Most Common MeasureMost Common Measure
3.3. Acts as ‘Balance Point’Acts as ‘Balance Point’
4.4. Affected by Extreme Values (‘Outliers’)Affected by Extreme Values (‘Outliers’)
5. 5. Formula (Sample Mean)Formula (Sample Mean)
XXXX
nn
XX XX XX
nn
iiii
nn
nn
11 11 22
![Page 38: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/38.jpg)
2 - 2 - 3838
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Mean ExampleMean Example
Raw Data:Raw Data: 10.310.3 4.94.9 8.98.9 11.711.7 6.36.37.77.7
XXXX
nn
XX XX XX XX XX XXiiii
nn
11 11 22 33 44 55 66
66
1010 33 44 99 88 99 111177 66 33 77 77
66
88 3030
.. .. .. .. .. ..
..
![Page 39: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/39.jpg)
2 - 2 - 3939
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Numerical DataNumerical DataProperties & Properties &
MeasuresMeasuresNumerical Data
Properties
MeanMean
MedianMedian
ModeMode
CentralTendency
RangeRange
VarianceVariance
Standard DeviationStandard Deviation
Variation
SkewSkew
Shape
Interquartile RangeInterquartile Range
![Page 40: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/40.jpg)
2 - 2 - 4040
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
MedianMedian
1.1. Measure of Central TendencyMeasure of Central Tendency
2.2. Middle Value In Ordered SequenceMiddle Value In Ordered Sequence If Odd n, Middle Value of SequenceIf Odd n, Middle Value of Sequence If Even n, Average of 2 Middle ValuesIf Even n, Average of 2 Middle Values
3. 3. Position of Median in Sequence Position of Median in Sequence
4.4. Not Affected by Extreme ValuesNot Affected by Extreme Values
PositioninPositioning Pointg Pointnn 11
22
![Page 41: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/41.jpg)
2 - 2 - 4141
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Median Example Median Example Odd-Sized SampleOdd-Sized Sample
Raw Data:Raw Data: 24.124.1 22.622.6 21.521.5 23.723.7 22.622.6
Ordered:Ordered: 21.521.5 22.622.6 22.622.6 23.723.7 24.124.1
Position:Position: 11 22 33 44 55
PositioninPositioning Pointg Point
MedianMedian
nn 11
2255 11
2233 00
2222 66
..
..
![Page 42: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/42.jpg)
2 - 2 - 4242
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Median Example Median Example Even-Sized SampleEven-Sized Sample
Raw Data:Raw Data: 10.310.3 4.94.9 8.98.9 11.711.7 6.36.37.77.7
Ordered:Ordered: 4.94.9 6.36.3 7.77.7 8.98.9 10.310.311.711.7
Position:Position: 11 22 33 44 5566PositioninPositioning Pointg Point
MedianMedian
nn 11
2266 11
2233 55
77 77 88 99
2288 3030
..
.. ....
![Page 43: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/43.jpg)
2 - 2 - 4343
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Numerical DataNumerical DataProperties & Properties &
MeasuresMeasuresNumerical Data
Properties
MeanMean
MedianMedian
ModeMode
CentralTendency
RangeRange
VarianceVariance
Standard DeviationStandard Deviation
Variation
SkewSkew
Shape
Interquartile RangeInterquartile Range
![Page 44: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/44.jpg)
2 - 2 - 4444
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
ModeMode
1.1. Measure of Central TendencyMeasure of Central Tendency
2.2. Value That Occurs Most OftenValue That Occurs Most Often
3.3. Not Affected by Extreme ValuesNot Affected by Extreme Values
4.4. May Be No Mode or Several ModesMay Be No Mode or Several Modes
5.5. May Be Used for Numerical & May Be Used for Numerical & Categorical DataCategorical Data
![Page 45: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/45.jpg)
2 - 2 - 4545
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Mode ExampleMode Example
No ModeNo ModeRaw Data:Raw Data: 10.310.3 4.94.9 8.98.9 11.711.7 6.36.3 7.77.7
One ModeOne ModeRaw Data:Raw Data: 6.36.3 4.94.9 8.98.9 6.3 6.3 4.94.9 4.94.9
More Than 1 ModeMore Than 1 ModeRaw Data:Raw Data: 2121 2828 2828 4141 4343 4343
![Page 46: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/46.jpg)
2 - 2 - 4646
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Thinking ChallengeThinking Challenge
You’re a financial analyst You’re a financial analyst for Prudential-Bache for Prudential-Bache Securities. You have Securities. You have collected the following collected the following closing stock prices of closing stock prices of new stock issues: new stock issues: 17, 16, 17, 16, 21, 18, 13, 16, 12, 1121, 18, 13, 16, 12, 11..
Describe the stock pricesDescribe the stock pricesin terms of in terms of central central tendencytendency..
![Page 47: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/47.jpg)
2 - 2 - 4747
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Central Tendency Central Tendency Solution*Solution*
MeanMean
XXXX
nn
XX XX XXiiii
nn
11 11 22 88
88
1717 1616 2121 1818 1313 1616 1212 1111
88
1515 55
..
![Page 48: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/48.jpg)
2 - 2 - 4848
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Central Tendency Central Tendency Solution*Solution*
MedianMedian
Raw Data:Raw Data: 1717 1616 2121 1818 1313 1616 1212 1111
Ordered:Ordered: 1111 1212 1313 1616 1616 1717 1818 2121
Position:Position: 11 22 33 44 55 66 77 88
PositioninPositioning Pointg Point
MedianMedian
nn 11
22
88 11
2244 55
1616 1616
221616
..
![Page 49: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/49.jpg)
2 - 2 - 4949
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Central Tendency Central Tendency Solution*Solution*
ModeMode
Raw Data:Raw Data: 1717 1616 2121 1818 1313 1616 1212 1111
Ordered:Ordered: 1111 1212 1313 1616 1616 1717 1818 2121
![Page 50: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/50.jpg)
2 - 2 - 5050
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Summary of Summary of Central Tendency Central Tendency
Measures Measures
MeasureMeasure EquationEquation DescriptionDescriptionMeanMean XXii / / nn Balance PointBalance PointMedianMedian ((nn+1)+1) PositionPosition
22Middle ValueMiddle ValueWhen OrderedWhen Ordered
ModeMode nonenone Most FrequentMost Frequent
![Page 51: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/51.jpg)
2 - 2 - 5151
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
VariationVariation
![Page 52: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/52.jpg)
2 - 2 - 5252
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Numerical DataNumerical DataProperties & Properties &
MeasuresMeasuresNumerical Data
Properties
MeanMean
MedianMedian
ModeMode
CentralTendency
RangeRange
VarianceVariance
Standard DeviationStandard Deviation
Variation
SkewSkew
Shape
Interquartile RangeInterquartile Range
![Page 53: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/53.jpg)
2 - 2 - 5353
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
RangeRange
1.1. Measure of DispersionMeasure of Dispersion
2.2. Difference Between Largest & Smallest Difference Between Largest & Smallest ObservationsObservations
3.3. Ignores How Data Are DistributedIgnores How Data Are Distributed
RangeRange XX XXll estest smallestsmallestargarg
77 88 99 1010 77 88 99 1010
![Page 54: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/54.jpg)
2 - 2 - 5454
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Numerical DataNumerical DataProperties & Properties &
MeasuresMeasuresNumerical Data
Properties
MeanMean
MedianMedian
ModeMode
CentralTendency
RangeRange
Interquartile RangeInterquartile Range
VarianceVariance
Standard DeviationStandard Deviation
Variation
SkewSkew
Shape
![Page 55: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/55.jpg)
2 - 2 - 5555
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Variance & Variance & Standard DeviationStandard Deviation
1.1. Measures of DispersionMeasures of Dispersion
2.2. Most Common MeasuresMost Common Measures
3.3. Consider How Data Are DistributedConsider How Data Are Distributed
4.4. Show Variation About Mean (Show Variation About Mean (XX or or ))
44 66 88 1010 1212
XX = 8.3= 8.3
![Page 56: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/56.jpg)
2 - 2 - 5656
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Sample Variance Sample Variance FormulaFormula
nn - 1 in denominator! - 1 in denominator! (Use (Use NN if if PopulationPopulation Variance)Variance)SS
XX XX
nn
XX XX XX XX XX XX
nn
iiii
nn
nn
22
22
11
1122
2222 22
11
11
cc hh
cc hh cc hh cc hh
표본분산이 모분산에 비해 작아질 경향이 있기 때문에 그것을 없애 주기 위해 분모를 n-1 로 한다는 것입니다
![Page 57: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/57.jpg)
2 - 2 - 5757
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Sample Standard Sample Standard Deviation FormulaDeviation Formula
SS SS
XX XX
nn
XX XX XX XX XX XX
nn
iiii
nn
nn
22
22
11
1122
2222 22
11
11
cc hh
cc hh cc hh cc hh
![Page 58: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/58.jpg)
2 - 2 - 5858
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Variance ExampleVariance Example
Raw Data:Raw Data: 10.310.3 4.94.9 8.98.9 11.711.7 6.36.37.77.7
SS
XX XX
nnXX
XX
nn
SS
iiii
nn
iiii
nn
22
22
11 11
2222 22 22
1188 33
1010 33 88 33 44 99 88 33 77 77 88 33
66 1166 368368
cc hh
aa ff aa ff aa ffwhere where ..
.. .. .. .. .. ..
..
![Page 59: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/59.jpg)
2 - 2 - 5959
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Thinking ChallengeThinking Challenge
You’re a financial analyst You’re a financial analyst for Prudential-Bache for Prudential-Bache Securities. You have Securities. You have collected the following collected the following closing stock prices of new closing stock prices of new stock issues: stock issues: 17, 16, 21, 17, 16, 21, 18, 13, 16, 12, 1118, 13, 16, 12, 11..
What are the What are the variance variance andand standard deviation standard deviation of of the stock prices?the stock prices?
![Page 60: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/60.jpg)
2 - 2 - 6060
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Variation Solution*Variation Solution*
Sample VarianceSample Variance
Raw Data:Raw Data: 1717 1616 2121 1818 1313 1616 12121111
SS
XX XX
nnXX
XX
nn
SS
iiii
nn
iiii
nn
22
22
11 11
2222 22 22
111515 55
1717 1515 55 1616 1515 55 1111 1515 55
88 1111111414
cc hh
aa ff aa ff aa ffwhere where ..
.. .. ..
..
![Page 61: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/61.jpg)
2 - 2 - 6161
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Variation Solution*Variation Solution*
Sample Standard DeviationSample Standard Deviation
SS SS
XX XX
nn
iiii
nn
22
22
11
1111111414 33 3434
cc hh.. ..
![Page 62: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/62.jpg)
2 - 2 - 6262
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Summary of Summary of Variation Measures Variation Measures
MeasureMeasure EquationEquation DescriptionDescription
RangeRange XXlargest largest - - XXsmallestsmallest Total SpreadTotal Spread
Interquartile RangeInterquartile Range QQ3 3 - - QQ11 Spread of Middle 50%Spread of Middle 50%
Standard DeviationStandard Deviation(Sample)(Sample)
XX XX
nnii
22
11
Dispersion aboutDispersion aboutSample MeanSample Mean
Standard DeviationStandard Deviation(Population)(Population)
XX
NNii XX
22 Dispersion aboutDispersion aboutPopulation MeanPopulation Mean
VarianceVariance(Sample)(Sample)
((XXii --XX ))22
nn - 1- 1Squared DispersionSquared Dispersionabout Sample Meanabout Sample Mean
![Page 63: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/63.jpg)
2 - 2 - 6363
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
ShapeShape
![Page 64: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/64.jpg)
2 - 2 - 6464
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Numerical DataNumerical DataProperties & Properties &
MeasuresMeasuresNumerical Data
Properties
MeanMean
MedianMedian
ModeMode
CentralTendency
RangeRange
Interquartile RangeInterquartile Range
VarianceVariance
Standard DeviationStandard Deviation
Variation
SkewSkew
Shape
![Page 65: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/65.jpg)
2 - 2 - 6565
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
ShapeShape
1.1. Describes How Data Are DistributedDescribes How Data Are Distributed
2.2. Measures of ShapeMeasures of Shape Skew = SymmetrySkew = Symmetry
Right-SkewedRight-SkewedLeft-SkewedLeft-Skewed SymmetricSymmetric
MeanMean = = MedianMedian = = ModeModeMeanMean MedianMedian ModeMode ModeMode MedianMedian MeanMean
![Page 66: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/66.jpg)
2 - 2 - 6666
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Quartiles & Box PlotsQuartiles & Box Plots
![Page 67: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/67.jpg)
2 - 2 - 6767
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
QuartilesQuartiles
1.1. Measure of Measure of NoncentralNoncentral Tendency Tendency
2.2. Split Ordered Data into 4 QuartersSplit Ordered Data into 4 Quarters
3.3. Position of i-th QuartilePosition of i-th Quartile
25%25% 25%25% 25%25% 25%25%
QQ11 QQ22 QQ33
PositioninPositioning Point ofg Point of QQii nn
ii 11
44aa ff
![Page 68: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/68.jpg)
2 - 2 - 6868
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Quartile (QQuartile (Q11) ) Example Example
Raw Data:Raw Data: 10.310.3 4.94.9 8.98.9 11.711.7 6.36.37.77.7
Ordered:Ordered: 4.94.9 6.36.3 7.77.7 8.98.9 10.310.311.711.7
Position:Position: 11 22 33 44 5566QQ PositionPosition
1 1
11 11
4411 66 11
44117575 22
66 3311
nnaa ff aa ff ..
..
![Page 69: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/69.jpg)
2 - 2 - 6969
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Quartile (QQuartile (Q22) ) Example Example
Raw Data:Raw Data: 10.310.3 4.94.9 8.98.9 11.711.7 6.36.37.77.7
Ordered:Ordered: 4.94.9 6.36.3 7.77.7 8.98.9 10.310.311.711.7
Position:Position: 11 22 33 44 5566QQ PositionPosition
2 2
22 11
4422 66 11
4433 55
77 77 88 99
2288 3322
nnaa ff aa ff ..
.. ....
![Page 70: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/70.jpg)
2 - 2 - 7070
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Quartile (QQuartile (Q33) ) Example Example
Raw Data:Raw Data: 10.310.3 4.94.9 8.98.9 11.711.7 6.36.37.77.7
Ordered:Ordered: 4.94.9 6.36.3 7.77.7 8.98.9 10.310.311.711.7
Position:Position: 11 22 33 44 5566QQ PositionPosition
3 3
33 11
4433 66 11
4455 2525 55
1010 3333
nnaa ff aa ff ..
..
![Page 71: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/71.jpg)
2 - 2 - 7171
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Numerical DataNumerical DataProperties & Properties &
MeasuresMeasuresNumerical Data
Properties
MeanMean
MedianMedian
ModeMode
CentralTendency
RangeRange
Interquartile RangeInterquartile Range
VarianceVariance
Standard DeviationStandard Deviation
Variation
SkewSkew
Shape
![Page 72: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/72.jpg)
2 - 2 - 7272
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Interquartile RangeInterquartile Range
1.1. Measure of DispersionMeasure of Dispersion
2.2. Also Called MidspreadAlso Called Midspread
3.3. Difference Between Third & First Difference Between Third & First QuartilesQuartiles
4.4. Spread in Middle 50%Spread in Middle 50%
5.5. Not Affected by Extreme ValuesNot Affected by Extreme Values
InterquartInterquartile Rangeile Range QQ QQ33 11
![Page 73: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/73.jpg)
2 - 2 - 7373
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Thinking ChallengeThinking Challenge
You’re a financial analyst You’re a financial analyst for Prudential-Bache for Prudential-Bache Securities. You have Securities. You have collected the following collected the following closing stock prices of closing stock prices of new stock issues: new stock issues: 17, 16, 17, 16, 21, 18, 13, 16, 12, 1121, 18, 13, 16, 12, 11..
What are the What are the quartiles, Qquartiles, Q11
andand Q Q3, 3, and the and the
interquartileinterquartile rangerange??
![Page 74: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/74.jpg)
2 - 2 - 7474
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
QQ11
Raw Data:Raw Data: 1717 1616 2121 1818 1313 1616 1212 1111
Ordered:Ordered: 1111 1212 1313 1616 1616 1717 1818 2121
Position:Position: 11 22 33 44 55 66 77 88
Quartile Solution*Quartile Solution*
QQ PositionPosition
1 1
11 11
44
11 88 11
4422 55
1212 5511
nnaa ff aa ff..
..
![Page 75: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/75.jpg)
2 - 2 - 7575
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Quartile Solution*Quartile Solution*
QQ33
Raw Data:Raw Data: 1717 1616 2121 1818 1313 1616 1212 1111
Ordered:Ordered: 1111 1212 1313 1616 1616 1717 1818 2121
Position:Position: 11 22 33 44 55 66 77 88
QQ PositionPosition
33
33 11
44
33 88 11
4466 7575 77
181833
nnaa ff aa ff..
![Page 76: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/76.jpg)
2 - 2 - 7676
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Interquartile Range Interquartile Range Solution*Solution*
Interquartile RangeInterquartile Range
Raw Data:Raw Data: 1717 1616 2121 1818 1313 1616 1212 1111
Ordered:Ordered: 1111 1212 1313 1616 1616 1717 1818 2121
Position:Position: 11 22 33 44 55 66 77 88
InterquartInterquartile Rangeile Range QQ QQ33 11 1818 00 1212 55 55 55.. .. ..
![Page 77: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/77.jpg)
2 - 2 - 7777
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Box PlotBox Plot
1.1. Graphical Display of Data UsingGraphical Display of Data Using5-Number Summary5-Number Summary
MedianMedian
44 66 88 1010 1212
QQ33QQ11 XXlargestlargestXXsmallestsmallest
![Page 78: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/78.jpg)
2 - 2 - 7878
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Shape & Box PlotShape & Box Plot
Right-SkewedRight-SkewedLeft-SkewedLeft-Skewed SymmetricSymmetric
QQ11 MedianMedian QQ33QQ11 MedianMedian QQ33 QQ11 MedianMedian QQ33
![Page 79: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/79.jpg)
2 - 2 - 7979
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Distorting the Truth Distorting the Truth with Descriptive with Descriptive
TechniquesTechniques
![Page 80: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/80.jpg)
2 - 2 - 8080
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Errors in Presenting Errors in Presenting DataData
1.1. Using ‘Chart Junk’Using ‘Chart Junk’
2.2. No Relative Basis No Relative Basis in Comparing Data in Comparing Data BatchesBatches
3.3. Compressing the Compressing the Vertical AxisVertical Axis
4.4. No Zero Point on No Zero Point on the Vertical Axisthe Vertical Axis
![Page 81: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/81.jpg)
2 - 2 - 8181
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
‘‘Chart Junk’Chart Junk’
Bad PresentationBad Presentation Good PresentationGood Presentation
1960: $1.001960: $1.00
1970: $1.601970: $1.60
1980: $3.101980: $3.10
1990: $3.801990: $3.80
Minimum WageMinimum Wage Minimum WageMinimum Wage
00
22
44
19601960 19701970 19801980 19901990
$$
![Page 82: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/82.jpg)
2 - 2 - 8282
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
No Relative BasisNo Relative Basis
Good PresentationGood Presentation
A’s by ClassA’s by Class A’s by ClassA’s by Class
Bad PresentationBad Presentation
00
100100
200200
300300
FRFR SOSO JRJR SRSR
Freq.Freq.
0%0%
10%10%
20%20%
30%30%
FRFR SOSO JRJR SRSR
%%
![Page 83: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/83.jpg)
2 - 2 - 8383
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
Compressing Compressing Vertical AxisVertical Axis
Good PresentationGood Presentation
Quarterly SalesQuarterly Sales Quarterly SalesQuarterly Sales
Bad PresentationBad Presentation
00
2525
5050
Q1Q1 Q2Q2 Q3Q3 Q4Q4
$$
00
100100
200200
Q1Q1 Q2Q2 Q3Q3 Q4Q4
$$
![Page 84: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/84.jpg)
2 - 2 - 8484
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
No Zero Point No Zero Point on Vertical Axison Vertical Axis
Good PresentationGood Presentation
Monthly SalesMonthly Sales Monthly SalesMonthly Sales
Bad PresentationBad Presentation
00
2020
4040
6060
JJ MM MM JJ SS NN
$$
3636
3939
4242
4545
JJ MM MM JJ SS NN
$$
![Page 85: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/85.jpg)
2 - 2 - 8585
© 2000 Prentice-Hall, Inc.© 2000 Prentice-Hall, Inc.
ConclusionConclusion
1.1. Described Qualitative Data GraphicallyDescribed Qualitative Data Graphically
2.2. Described Numerical Data GraphicallyDescribed Numerical Data Graphically
3.3. Created & Interpreted Graphical DisplaysCreated & Interpreted Graphical Displays
4.4. Explained Numerical Data PropertiesExplained Numerical Data Properties
5.5. Described Summary MeasuresDescribed Summary Measures
6.6. Analyzed Numerical Data Using Analyzed Numerical Data Using Summary Measures Summary Measures
![Page 86: 2 - 1 © 2000 Prentice-Hall, Inc. Statistics for Business and Economics Methods for Describing Sets of Data Chapter 2.](https://reader036.fdocuments.in/reader036/viewer/2022081603/5697bfee1a28abf838cb9440/html5/thumbnails/86.jpg)
End of Chapter
Any blank slides that follow are blank intentionally.