Definitions
Central Tendencies
Trimmed Mean
Measures of Variance
Box and Whisker Plots
100

Probability 

how likely something will happen

100

Range of the data set below

2, 5, 6, 8, 2, 4, 9

7

100

A technician recorded the following 20 observation scores:

8, 12, 12, 16, 32, 39, 39, 45, 47, 50, 51, 59, 61, 74, 75, 87, 87, 87, 92, 93. How many values should be removed from each end to calculate a 20% trimmed mean?

4

100

Three measures of variance

Range, Variance, Standard Deviation

100

Five Number Summary

Minimum

Lower Quartile

Median

Upper Quartile

Maximum


200

Median of a data set

central value of a ordered distribution

200

Median value in the data set below

3, 5, 1, 5, 6, 7, 5, 6, 8

5

200

Calculate a 5% trimmed mean for the following data set (20 values):

14, 20, 20, 20, 20, 23, 25, 30, 30, 30, 35, 35, 35, 40, 40, 42, 50, 50, 80, 80



34.7

200

Variance is the difference between the highest and the lowest

True or False

False

200

Qis also known as the 

median

300

The arithmetic mean of a data set

an average

300

Median value

1, 5, 5, 20, 19, 14, 6, 9, 12, 15, 22

12

300

Calculate a 15% trimmed mean for the following data set (20 values):

14, 20, 20, 20, 20, 23, 25, 30, 30, 30, 35, 35, 35, 40, 40, 42, 50, 50, 80, 80

32.5

300

The central tendency most closely related to standard deviation

mean

300


Interquartile range for store 2

300

400

Trimmed mean

mean of the data values after trimming a specified percentage of the smallest and largest data values from the data set

400

Mean 

2, 5, 78, 67, 4, 3, 90, 12, 34, 56, 78, 33, 12, 9, 6, 3, 4, 13

28.3 (one decimal place)

400

Why use trimmed mean

to remove the influence of outliers or extreme values from a set of data, which can help to produce a more accurate representation of the central tendency of the data.

400

Find the sample variance given the following

∑(x-x̄)2 = 610  and n = 11

61

400

Find Q1,  Q2, and Qfor the data set below

3, 5, 2, 8, 9, 6, 4, 4, 6, 2, 7, 7

Q= 3

Q= 5.5

Q= 7

500

Standard Deviation

a measure of how dispersed the data is in relation to the mean

500

Amy recorded her test scores for the past week

65, 88, 70, 82, 67, 90, 94, 77, 81, 83

79.7

500

A trimmed mean is generally considered better to use than a simple mean when your data set contains extreme outliers 

True or False


True

500

Find the sample standard deviation given the following

∑(x-x̄)2 = 610  and n = 11

7.81 (two decimal places)

500

Find the five number summary for the set below

1, 2, 5, 6, 7, 9, 12, 15, 18, 19, 27

Minimum = 1

Q= 5

Median = 9

Q= 18

Maximum = 27

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