1. Unit 4 Statistics Review

2. Box & Whisker Plot
A 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:

3. Box/Whisker: Pros & 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

4. Dot Plot
A 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:

5. Dot Plot: Pros and Cons Advantages: Simple to make
Shows each individual data point
Disadvantages:
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.

6. 5-Number Summary
The 5 numbers in a data set consisting of: the minimum, maximum, first quartile, median, and third quartile.

7. Median
The middle-most value of a data set; 50% of the data is less than this value, and 50% is greater than it
Example:

8. First Quartile
The value that identifies the lower 25% of the data; the median of the lower half of the data set; written as
Example:

9. Third Quartile
Value 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:

10. Interquartile Range
The difference between the third and first quartiles; 50% of the data is contained within this range Example:
Subtract
Third Quartile ( ) – First Quartile ( ) = IQR

11. Outlier
A data value that is much greater than or much less than the rest of the data in a data set;
Example:

12. Mean
The average value of a data set, found by summing all values and dividing by the number of data points
Example:
= 20
The Mean is 4

13. Mean Absolute Deviation (MAD)
A measure of variation in a set of numerical data which represents the average distance each data point falls from the mean.
Steps:
Find the Mean
Calculate the absolute value of the difference between each data value and the mean
Determine the average of the differences in step 2. This average is the mean absolute deviation

14. MAD Example
Find the MAD for the following data set: 2, 3, 6, 7, 10, 12, 14, 15, 22, 120
Mean ≈ 21
|2-21| = 19 |3-21| = |6-21| = 15
|7-21| = |10-21| = |12-21|= 9
|14-21| = |15-21| = |22-21|= 1
|120-21| = 99
MAD ≈ 20

15. Measures of Center
The summary measures used to describe the most “typical” value in a set of data.
Examples of Measures of Center:
Mean
Median
Mode

16. Measures of Spread
Describes the variability of the data. The further the observations fall from the center, the greater the spread or variability of the data set.
Examples of Measures of Spread:
Range
Interquartile Range (IQR)
Mean Absolute Deviation -MAD