Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 [email protected].
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Transcript of Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 [email protected].
![Page 2: Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 acraig@gpc.edu.](https://reader035.fdocuments.in/reader035/viewer/2022072005/56649cf35503460f949c11af/html5/thumbnails/2.jpg)
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Objectives 2.2
1. Summarize discrete data in tables.
2. Construct histograms of discrete data.
3. Summarize continuous data in tables.
4. Construct histograms of continuous data.
5. Draw stem-and-leaf plots.
6. Identify the shape of a distribution.
7. Draw time series graphs.
![Page 3: Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 acraig@gpc.edu.](https://reader035.fdocuments.in/reader035/viewer/2022072005/56649cf35503460f949c11af/html5/thumbnails/3.jpg)
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Construct Table #6, p66
Number Free RelativeThrows Frequency Frequency1 16 .322 11 .223 9 .184 7 .14 (b)5 2 .046 3 .067 0 .00 (d)8 1 .029 0 .0010 1 .02 (c)
![Page 4: Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 acraig@gpc.edu.](https://reader035.fdocuments.in/reader035/viewer/2022072005/56649cf35503460f949c11af/html5/thumbnails/4.jpg)
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Definition
Histogram
• A histogram is constructed by drawing rectangles for each class of data.
• The height of each rectangle is the frequency or relative frequency of the class.
• The width of each rectangle should be the same and the rectangles should touch each other.
![Page 5: Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 acraig@gpc.edu.](https://reader035.fdocuments.in/reader035/viewer/2022072005/56649cf35503460f949c11af/html5/thumbnails/5.jpg)
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Histogram for #6, p66Histogram of Number of Free Throws
Until a Miss
0
2
4
6
8
10
12
14
16
18
1 3 5 7 9M
ore
Free Throws Until a Miss
Fre
qu
ency
Frequency
Note: Histogram created using Excel Data Analysis (see p. 71)
![Page 6: Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 acraig@gpc.edu.](https://reader035.fdocuments.in/reader035/viewer/2022072005/56649cf35503460f949c11af/html5/thumbnails/6.jpg)
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Using TI-84+ for a Histogram
1. Enter number free throws in L1 and Frequency in L2 using STAT1:Edit
2. 2nd Y=1:Plot1 On Enter3. Select histogram icon Enter4. Xlist L1 5. Freq 2nd 2 to select L26. WINDOW Set Xmin, Xmax, Xscl
(Note: Using ZOOM9:ZoomStat lets the calculator set these values and automatically graphs the histogram.)
![Page 7: Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 acraig@gpc.edu.](https://reader035.fdocuments.in/reader035/viewer/2022072005/56649cf35503460f949c11af/html5/thumbnails/7.jpg)
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Using TI-84+ for a Histogram
7. For discrete data, set Xmin to lowest x value - ½ width of your bars and Xmax to the largest x value + ½ width. Set Xscl to the width of each bar.
8. For our data, set Xscl to 1, Xmin to 0.5, and Xmax to 10.5
9. GRAPH
![Page 8: Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 acraig@gpc.edu.](https://reader035.fdocuments.in/reader035/viewer/2022072005/56649cf35503460f949c11af/html5/thumbnails/8.jpg)
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“Free Throw” Histogram from TI-84+
Note that the calculator does not label information on the graph. Use TRACE to find classes and frequencies.
![Page 9: Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 acraig@gpc.edu.](https://reader035.fdocuments.in/reader035/viewer/2022072005/56649cf35503460f949c11af/html5/thumbnails/9.jpg)
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Tables & Histograms for Continuous Data
• Create classes—categories of data using intervals
• Lower class limit—smallest value in a class• Upper class limit—largest value in a class• Class width—difference between consecutive
lower class limits• Open ended—if the last class does not have an
upper class limit
![Page 10: Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 acraig@gpc.edu.](https://reader035.fdocuments.in/reader035/viewer/2022072005/56649cf35503460f949c11af/html5/thumbnails/10.jpg)
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Tables & Histograms for Continuous Data
• Example—see Tables 12 & 13, pp. 57-58.
• Arbitrarily set lower class limit to 10 and class width to 5
• Classes must not overlap, so 10 – 14.9, 15 – 19.9,…
• For Histogram in Figure 9 (a), enter midpoints of each class in Table 13 in L1 and the corresponding frequency in L2
![Page 11: Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 acraig@gpc.edu.](https://reader035.fdocuments.in/reader035/viewer/2022072005/56649cf35503460f949c11af/html5/thumbnails/11.jpg)
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Tables & Histograms for Continuous Data
• In STATPLOT, ensure Plot1 is ON, histogram is selected, Xlist = L1 and Freq = L2
• In WINDOW, set Xmin = 10, Xmax = 50, Xscl = 5, Ymin = -1, Ymax =12
• Now GRAPH
![Page 12: Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 acraig@gpc.edu.](https://reader035.fdocuments.in/reader035/viewer/2022072005/56649cf35503460f949c11af/html5/thumbnails/12.jpg)
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Constructing Stem & Leaf Plots
Step 1: Stem consists of the digits to the left of the rightmost digit. The leaf will be the rightmost digit.
Step 2: Write the stems in a vertical column in increasing order. Draw a vertical line to the right of the stems.
Step 3: Write each leaf corresponding to the stems to the right of the vertical line. Leaves must be written in ascending order.
![Page 13: Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 acraig@gpc.edu.](https://reader035.fdocuments.in/reader035/viewer/2022072005/56649cf35503460f949c11af/html5/thumbnails/13.jpg)
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Example Stem & Leaf#26, p69
0 5 6 7
1 2 2 2 3 3 5 5 7 8 8 8 9
2 1 4 5 6 6 8
3 4 5 8 9 9
4 0 1 1 3 3 5 6 9
5 2 3 5 6 6
6 1 3 3 4 5 8
![Page 14: Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 acraig@gpc.edu.](https://reader035.fdocuments.in/reader035/viewer/2022072005/56649cf35503460f949c11af/html5/thumbnails/14.jpg)
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Distribution Shapes
• Symmetric—right & left sides are mirror images– Uniform—each class has same frequency– Bell-shaped—highest in middle, equal tails
• Skewed Left—longer tail to left
• Skewed Right—longer tail to right
• See the histograms, top of p. 63
![Page 15: Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 acraig@gpc.edu.](https://reader035.fdocuments.in/reader035/viewer/2022072005/56649cf35503460f949c11af/html5/thumbnails/15.jpg)
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Definition
Time Series Plot
• Plot time on the horizontal axis (x-axis) and the corresponding value of the variable on the vertical axis (y-axis). Lines are then drawn connecting the points.
• Time series plots are very useful in identifying trends in the data.
![Page 16: Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 acraig@gpc.edu.](https://reader035.fdocuments.in/reader035/viewer/2022072005/56649cf35503460f949c11af/html5/thumbnails/16.jpg)
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Time Series PlotWalmart Earnings Per Share
$1.47
$1.79
$2.07
$2.41
$2.68
$-
$0.50
$1.00
$1.50
$2.00
$2.50
$3.00
2002 2003 2004 2005 2006
Fiscal Year
EP
S
Earnings Per Share
![Page 17: Organizing Quantitative Data Section 2.2 Alan Craig 770-274-5242 acraig@gpc.edu.](https://reader035.fdocuments.in/reader035/viewer/2022072005/56649cf35503460f949c11af/html5/thumbnails/17.jpg)
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Questions
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