Search Header Logo
Comparing measures of center and variation

Comparing measures of center and variation

Assessment

Presentation

Mathematics

12th Grade

Easy

Created by

Kirby Pool

Used 2+ times

FREE Resource

6 Slides • 19 Questions

1

media

Comparing Measures of

Center and Variation

Choosing the most appropriate measures

2

media
media
media

Symmetric versus Skewed Data

Heights of Adults

Lengths of index fingers of 8th graders(mm)

3

media

Mean and Standard Deviation

Mean - the typical value (center) of the data when the distribution is roughly symmetric.

The arithmetic average of the data

Every data value impacts the mean

Will be influenced by outliers

Standard Deviation - a measure of the typical distance of the observations (data) and the mean.

Measures the spread of the distribution

Measures the variability of a fairly symmetric distribution

Will be influenced by outliers

4

media

Median and IQR

Median - the middle value in an ordered data set

Roughly 50% of the data is below and above the median

Measures the typical value for data in a skewed distribution

NOT influenced by all data values

Interquartile Range (IQR) - the middle 50% of the data in a distribution

Found by subtracting the 1st quartile (Q1) from the 3rd quartile (Q3)

Measures the variability of a sample with a skewed distribution

5

media

Appropriate Measures of Center and

Variation

The shape of the distribution determines which measure of center
and variability are best.

Use the mean and standard deviation for distributions that are
unimodal and roughly symmetric.

Use the median and IQR for distributions with skewness or outliers.

The median and IQR are resistant to (unaffected by) outliers.

6

Dropdown

Question image
Using the given data, the best measure of center to compare the distributions is ​​
.

7

Dropdown

Question image
Using the given data, the best measure of variation to compare the distributions is ​​
.

8

Multiple Choice

How do you find the Interquartile Range?

1

divide the 3rd quartile by the 1st quartile

2

subtract the biggest number by the smallest number

3

divide the biggest number by the smallest number

4

subtract the 3rd quartile by the 1st quartile

9

Multiple Choice

What is the outlier in this data set?

{23, 60, 30, 21, 25, 35, 29}

1

35

2

21

3

30

4

60

10

Multiple Choice

Question image

How is the graph distributed?

1

Normally

2

Skewed to the Left

3

Skewed to the Right

4

Uniform

11

Multiple Choice

Which is a normal distribution graph?

1
2
3
4

12

Multiple Choice

Question image

35 is

1

mean

2

variance

3

standard deviation

4

1st quartile

13

Multiple Choice

Question image

What is the shape of the data?

1

symmetrical

2

skewed left

3

skewed right

4

bell curve

14

Multiple Choice

Question image

What is the shape of the data?

1

symmetrical

2

skewed left

3

skewed right

4

bell curve

15

Multiple Choice

Question image

Which statement best describes this graph?

1

There is a peak at 47.

2

There is a cluster around 38-40.

3

The mode is 40.

4

There is a gap in the data between 39-40.

16

Multiple Choice

Question image
1

Skewed up box

2

Skewed to the left

3

Skewed to the right

17

Multiple Choice

Question image
What value is the lower quartile?
1

66

2

58

3

60

4

64

18

Multiple Choice

Question image

Where is the gap in the data?

1

between 23 and 25

2

between 17 and 20

3

at 18

4

at 22

19

Multiple Choice

Question image

What is the interquartile of this data?

1

50

2

90

3

110

4

100

20

Multiple Choice

Question image

What is the shape of the data?

1

symmetrical

2

skewed left

3

skewed right

4

bell curve

21

media

Comparing Measures of Center

In a symmetric distribution, the mean and the median are
approximately the same.

In a right skewed distribution the mean tends to be greater than the
median.

In a left skewed distribution the mean tends to be less than the
median.

22

Drag and Drop

Question image
This distribution is ​
so we should use the ​
as a measure of center and the ​
as a measure of variability.
Drag these tiles and drop them in the correct blank above
right skewed
median
IQR
fairly symmetric
left skewed
mean
standard deviation
range
mode

23

Drag and Drop

Question image
This distribution is ​
so we should use the ​
as a measure of center and the ​
as a measure of variability.
Drag these tiles and drop them in the correct blank above
fairly symmetric
mean
standard deviation
left skewed
range
mode
median
IQR
right skewed

24

Fill in the Blanks

media image

25

Multiple Choice

Question image

Which measure of variation would we use with this data?

1

Mean, since the data is fairly symmetric.

2

Median, since the data is skewed.

3

Standard deviation, since the data is symmetric.

4

IQR, since the data is skewed.

media

Comparing Measures of

Center and Variation

Choosing the most appropriate measures

Show answer

Auto Play

Slide 1 / 25

SLIDE