Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and...
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Transcript of Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and...
![Page 1: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/1.jpg)
Unit 4Unit 4Day 1 VocabularyDay 1 Vocabulary
![Page 2: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/2.jpg)
MeanMeanThe average value of a data set,
found by summing all values and dividing by the number of data points
Example:
5 + 4 + 2 + 6 + 3 = 20
45
20
The Mean is 4
![Page 3: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/3.jpg)
MedianMedianThe middle-most value of a data
set; 50% of the data is less than this value, and 50% is greater than it
Example:
![Page 4: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/4.jpg)
ModeMode
• The value that appears the most often in a set of data.
Example: 4,3,6,8,4,5,6,4,9,10,0,1,4,4
4 is the MODE
![Page 5: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/5.jpg)
RangeRange
• The difference between the lowest and the highest value in a set of data.
Example: 2,3,4,5,7,8,12,26,50
50 – 2 = 48 The RANGE is 48.
![Page 6: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/6.jpg)
Dot PlotDot PlotA frequency plot that shows the
number of times a response occurred in a data set, where each data value is represented by a dot.
Example:
![Page 7: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/7.jpg)
Dot Plot: Pros Dot Plot: Pros and Consand Cons
Advantages:•Simple to make•Shows each individual data pointDisadvantages:•Can be time consuming with lots of data points to make•Have to count to get exact total. Fractions of units are hard to display.
![Page 8: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/8.jpg)
HistogramHistogramA frequency plot that shows the
number of times a response or range of responses occurred in a data set.
Example:
![Page 9: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/9.jpg)
Histogram: Pros and Histogram: Pros and ConsCons
Advantages:•Visually strong•Good for determining the shape of the dataDisadvantages:•Cannot read exact values because data is grouped into categories •More difficult to compare two data sets
![Page 10: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/10.jpg)
First QuartileFirst QuartileThe value that identifies the lower
25% of the data; the median of the lower half of the data set; written as
Example:
1Q
![Page 11: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/11.jpg)
Third QuartileThird QuartileValue that identifies the upper
25% of the data; the median of the upper half of the data set; 75% of all data is less than this value; written as
Example:
3Q
![Page 12: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/12.jpg)
Interquartile RangeInterquartile Range
The difference between the third and first quartiles; 50% of the data is contained within this range
Example:
3Q 1QSubtract Third Quartile ( ) – First Quartile ( ) = IQR
![Page 13: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/13.jpg)
OutlierOutlier A data value that is much greater than or
much less than the rest of the data in a data set; mathematically, any data less than
or greater than is an outlier
Example:
)(5.11 IQRQ
)(5.13 IQRQ
![Page 14: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/14.jpg)
Box PlotBox PlotA plot showing the minimum,
maximum, first quartile, median, and third quartile of a data set; the middle 50% of the data is indicated by a box.
Example:
![Page 15: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/15.jpg)
Box Plot: Pros Box Plot: Pros and Consand Cons
Advantages:•Shows 5-point summary and outliers •Easily compares two or more data sets •Handles extremely large data sets easily Disadvantages:•Not as visually appealing as other graphs •Exact values not retained
![Page 16: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/16.jpg)
The numbers below represent the number of homeruns hit by players of the Lassiter baseball team.
2, 3, 5, 7, 8, 10, 14, 18, 19, 21, 25, 28
Q1 = 6
Q3 = 20
Interquartile Range: 20 – 6 = 14
Do the same for Kell: 4, 5, 6, 8, 9, 11, 12, 15, 15, 16, 18, 19, 20
![Page 17: Unit 4 Day 1 Vocabulary. Mean The average value of a data set, found by summing all values and dividing by the number of data points Example: 5 + 4 +](https://reader036.fdocuments.in/reader036/viewer/2022070403/56649f2b5503460f94c45bc7/html5/thumbnails/17.jpg)
The numbers below represent the number of homeruns hit by players of the Lassiter baseball team.
2, 3, 5, 7, 8, 10, 14, 18, 19, 21, 25, 28
Q1 = 6
Q3 = 20
Interquartile Range: 20 – 6 = 14
12 206