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Illustrative Math-Media4Math Alignment

 

 

Illustrative Math Alignment: Grade 6 Unit 8

Data Sets and Distributions

Lesson 14: Comparing Mean and Median

Use the following Media4Math resources with this Illustrative Math lesson.

Thumbnail Image Title Body Curriculum Nodes
Math Example--Measures of Central Tendency--Mean: Example 20 Math Example--Measures of Central Tendency--Mean: Example 20 Math Example--Measures of Central Tendency--Mean: Example 20

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for the numbers 19, -4, 11, 6, -6, and 1. The process involves summing all values (27) and dividing by the count of numbers (6), resulting in a mean of 4.5. This example is particularly instructive as it shows how positive and negative numbers interact in the calculation of the mean, resulting in a positive value despite the presence of negative numbers.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 21 Math Example--Measures of Central Tendency--Mean: Example 21 Math Example--Measures of Central Tendency--Mean: Example 21

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for the numbers -15, 11, 18, -15, 1, -3, and 17. The process involves summing all values (14) and dividing by the count of numbers (7), resulting in a mean of 2. This example is particularly instructive as it demonstrates how to handle a mix of positive and negative numbers, including repeated values, in the calculation of the mean.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 22 Math Example--Measures of Central Tendency--Mean: Example 22 Math Example--Measures of Central Tendency--Mean: Example 22

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for the numbers 18, -18, 20, 2, 11, 19, and 10. The process involves summing all values (62) and dividing by the count of numbers (7), resulting in a mean of approximately 8.86. This example is particularly instructive as it shows how a single large negative number can significantly impact the mean, even when most of the numbers are positive.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 23 Math Example--Measures of Central Tendency--Mean: Example 23 Math Example--Measures of Central Tendency--Mean: Example 23

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for the numbers 17, 20, -12, -16, 5, 13, -19, and 16. The process involves summing all values (24) and dividing by the count of numbers (8), resulting in a mean of 3. This example is particularly instructive as it demonstrates how to handle a mix of positive and negative numbers with varying magnitudes in the calculation of the mean.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 24 Math Example--Measures of Central Tendency--Mean: Example 24 Math Example--Measures of Central Tendency--Mean: Example 24

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for the numbers -1, 20, 7, 6, 2, 14, 5, and -15. The process involves summing all values (38) and dividing by the count of numbers (8), resulting in a mean of 4.75. This example is particularly instructive as it shows how a mix of positive and negative numbers, including some relatively large values in both directions, can interact to produce a mean that doesn't necessarily reflect the magnitude of the largest numbers in the set.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 25 Math Example--Measures of Central Tendency--Mean: Example 25 Math Example--Measures of Central Tendency--Mean: Example 25

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for the numbers -14, -3, 19, -19, 20, 15, -5, 14, and 0. The process involves summing all values (27) and dividing by the count of numbers (9), resulting in a mean of 3. This example is particularly instructive as it demonstrates how to handle a mix of positive and negative numbers, including zero, in the calculation of the mean.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 26 Math Example--Measures of Central Tendency--Mean: Example 26 Math Example--Measures of Central Tendency--Mean: Example 26

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for the numbers -10, -6, 19, 6, -6, 5, 6, 9, and 10. The process involves summing all values (33) and dividing by the count of numbers (9), resulting in a mean of approximately 3.67. This example is particularly instructive as it shows how positive and negative numbers interact in the calculation of the mean, resulting in a positive value despite the presence of negative numbers.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 27 Math Example--Measures of Central Tendency--Mean: Example 27 Math Example--Measures of Central Tendency--Mean: Example 27

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for the numbers 10, -14, 14, 17, 20, -3, -20, -2, 11, and -3. The process involves summing all values (30) and dividing by the count of numbers (10), resulting in a mean of 3. This example is particularly instructive as it demonstrates how to handle a mix of positive and negative numbers, including some relatively large values in both directions, in the calculation of the mean.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 28 Math Example--Measures of Central Tendency--Mean: Example 28 Math Example--Measures of Central Tendency--Mean: Example 28

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for the numbers 9, -8, 5, -4, 16, -19, -17, 13, 1, 8, and 4. The process involves summing all values (4) and dividing by the count of numbers (10), resulting in a mean of 0.4. This example is particularly instructive as it shows how a mix of positive and negative numbers, including some relatively large values in both directions, can interact to produce a mean close to zero.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 29 Math Example--Measures of Central Tendency--Mean: Example 29 Math Example--Measures of Central Tendency--Mean: Example 29

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for the numbers -3, -3, -14, and -4. The process involves summing all values (-24) and dividing by the count of numbers (4), resulting in a mean of -6. This example is particularly instructive as it demonstrates how to handle a dataset consisting entirely of negative numbers in the calculation of the mean.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 30 Math Example--Measures of Central Tendency--Mean: Example 30 Math Example--Measures of Central Tendency--Mean: Example 30

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for the numbers -1, -2, -16, and -6. The process involves summing all values (-25) and dividing by the count of numbers (4), resulting in a mean of -6.25. This example is particularly instructive as it shows how to handle a dataset consisting entirely of negative numbers, including one significantly larger negative value, in the calculation of the mean.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 31 Math Example--Measures of Central Tendency--Mean: Example 31 Math Example--Measures of Central Tendency--Mean: Example 31

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for the numbers 3, 9, 10, -19, and -13. The process involves summing all values (-10) and dividing by the count of numbers (5), resulting in a mean of -2. This example is particularly instructive as it demonstrates how to handle a mix of positive and negative numbers, including some relatively large values in both directions, in the calculation of the mean.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 32 Math Example--Measures of Central Tendency--Mean: Example 32 Math Example--Measures of Central Tendency--Mean: Example 32

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for a set of numbers. The process involves summing all values and dividing by the count of numbers. This example is particularly instructive as it reinforces the concept of finding a central value that represents the entire dataset, even when dealing with a mix of positive and negative numbers.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 33 Math Example--Measures of Central Tendency--Mean: Example 33 Math Example--Measures of Central Tendency--Mean: Example 33

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for another set of numbers. The process involves summing all values and dividing by the count of numbers. This example is particularly instructive as it continues to reinforce the concept of finding a central value that represents the entire dataset, potentially dealing with a different range or distribution of numbers than previous examples.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 34 Math Example--Measures of Central Tendency--Mean: Example 34 Math Example--Measures of Central Tendency--Mean: Example 34

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for yet another set of numbers. The process involves summing all values and dividing by the count of numbers. This example is particularly instructive as it continues to reinforce the concept of finding a central value that represents the entire dataset, potentially dealing with a different range or distribution of numbers than previous examples.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 35 Math Example--Measures of Central Tendency--Mean: Example 35 Math Example--Measures of Central Tendency--Mean: Example 35

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for a new set of numbers. The process involves summing all values and dividing by the count of numbers. This example is particularly instructive as it continues to reinforce the concept of finding a central value that represents the entire dataset, potentially dealing with a different range or distribution of numbers than previous examples.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 36 Math Example--Measures of Central Tendency--Mean: Example 36 Math Example--Measures of Central Tendency--Mean: Example 36

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for another set of numbers. The process involves summing all values and dividing by the count of numbers. This example is particularly instructive as it continues to reinforce the concept of finding a central value that represents the entire dataset, potentially dealing with a different range or distribution of numbers than previous examples.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 37 Math Example--Measures of Central Tendency--Mean: Example 37 Math Example--Measures of Central Tendency--Mean: Example 37

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for a new set of numbers. The process involves summing all values and dividing by the count of numbers. This example is particularly instructive as it continues to reinforce the concept of finding a central value that represents the entire dataset, potentially dealing with a different range or distribution of numbers than previous examples.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 38 Math Example--Measures of Central Tendency--Mean: Example 38 Math Example--Measures of Central Tendency--Mean: Example 38

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for a set of numbers. The process involves summing all values and dividing by the count of numbers. This example is particularly instructive as it reinforces the concept of finding a central value that represents the entire dataset, potentially dealing with a different range or distribution of numbers than previous examples.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 39 Math Example--Measures of Central Tendency--Mean: Example 39 Math Example--Measures of Central Tendency--Mean: Example 39

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for a new set of numbers. The process involves summing all values and dividing by the count of numbers. This example is particularly instructive as it continues to reinforce the concept of finding a central value that represents the entire dataset, potentially dealing with a different range or distribution of numbers than previous examples.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 40 Math Example--Measures of Central Tendency--Mean: Example 40 Math Example--Measures of Central Tendency--Mean: Example 40

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for another set of numbers. The process involves summing all values and dividing by the count of numbers. This example is particularly instructive as it continues to reinforce the concept of finding a central value that represents the entire dataset, potentially dealing with a different range or distribution of numbers than previous examples.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 41 Math Example--Measures of Central Tendency--Mean: Example 41 Math Example--Measures of Central Tendency--Mean: Example 41

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for a new set of numbers. The process involves summing all values and dividing by the count of numbers. This example is particularly instructive as it continues to reinforce the concept of finding a central value that represents the entire dataset, potentially dealing with a different range or distribution of numbers than previous examples.

Data Analysis
Math Example--Measures of Central Tendency--Mean: Example 42 Math Example--Measures of Central Tendency--Mean: Example 42 Math Example--Measures of Central Tendency--Mean: Example 42

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for another set of numbers. The process involves summing all values and dividing by the count of numbers. This example is particularly instructive as it continues to reinforce the concept of finding a central value that represents the entire dataset, potentially dealing with a different range or distribution of numbers than previous examples.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 1 Math Example--Measures of Central Tendency--Median: Example 1 Math Example--Measures of Central Tendency--Median: Example 1

Topic

Measures of Central Tendency

Description

This example demonstrates how to find the median of a set of numbers: 14, 35, 37, 28, 38, 28, 14, 12. The process involves arranging the numbers in ascending order and identifying the middle value. In this case, with an even number of terms, the median is calculated by finding the average of the two middle terms, resulting in a median of 28.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 2 Math Example--Measures of Central Tendency--Median: Example 2 Math Example--Measures of Central Tendency--Median: Example 2

Topic

Measures of Central Tendency

Description

This example illustrates the process of finding the median for the set of numbers: 3, 50, 43, 18, 14, 8, 38, 47. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of 28.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 3 Math Example--Measures of Central Tendency--Median: Example 3 Math Example--Measures of Central Tendency--Median: Example 3

Topic

Measures of Central Tendency

Description

This example demonstrates finding the median of the following set of numbers: 48, -6, -6, 28, 2, -37, -36, -34. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of -6.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 4 Math Example--Measures of Central Tendency--Median: Example 4 Math Example--Measures of Central Tendency--Median: Example 4

Topic

Measures of Central Tendency

Description

This example illustrates the process of finding the median for the set of numbers: 13, -20, 4, -4, -43, 46, -17, -19. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of -10/5 or -2.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 5 Math Example--Measures of Central Tendency--Median: Example 5 Math Example--Measures of Central Tendency--Median: Example 5

Topic

Measures of Central Tendency

Description

This example demonstrates how to find the median of the following set of numbers: 49, 3, 27, 46, 7, 32, 21, 33, 33. The process involves arranging the numbers from least to greatest and then identifying the middle value. In this case, with an odd number of terms, the median is simply the middle number after sorting, which is 32.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 6 Math Example--Measures of Central Tendency--Median: Example 6 Math Example--Measures of Central Tendency--Median: Example 6

Topic

Measures of Central Tendency

Description

This example illustrates the process of finding the median for the set of numbers: 15, 24, -6, -16, 50, 12, -50, 43, 35. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an odd number of terms, the median is simply the middle number after sorting, which in this case is 15.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 7 Math Example--Measures of Central Tendency--Median: Example 7 Math Example--Measures of Central Tendency--Median: Example 7

Topic

Measures of Central Tendency

Description

This example demonstrates finding the median of the following set of numbers: 23, 30, 9, 34, 13, 40, 26, 30, 45, 36. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of 30.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 8 Math Example--Measures of Central Tendency--Median: Example 8 Math Example--Measures of Central Tendency--Median: Example 8

Topic

Measures of Central Tendency

Description

This example demonstrates how to find the median of the following set of numbers: 50, 14, 47, 43, 25, 10, 18, 21, 20, 19. The process involves arranging the numbers in ascending order and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of 20.5.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 9 Math Example--Measures of Central Tendency--Median: Example 9 Math Example--Measures of Central Tendency--Median: Example 9

Topic

Measures of Central Tendency

Description

This example illustrates the process of finding the median for the set of numbers: 13, -3, 23, -20, -14, -32, -31, -21, 36, -14. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of -14.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 10 Math Example--Measures of Central Tendency--Median: Example 10 Math Example--Measures of Central Tendency--Median: Example 10

Topic

Measures of Central Tendency

Description

This example demonstrates finding the median of the following set of numbers: 6, -19, 38, 47, 46, -46, 15, 10, 24, 16. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of 15.5.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 11 Math Example--Measures of Central Tendency--Median: Example 11 Math Example--Measures of Central Tendency--Median: Example 11

Topic

Measures of Central Tendency

Description

This example illustrates the process of finding the median for the set of numbers: 50, 41, 30, 30, 47, 31, 45, 12, 6, 14, 39. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an odd number of terms, the median is simply the middle number after sorting, which is 31.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 12 Math Example--Measures of Central Tendency--Median: Example 12 Math Example--Measures of Central Tendency--Median: Example 12

Topic

Measures of Central Tendency

Description

This example demonstrates finding the median of the following set of numbers: -24, 50, -22, -27, 43, 41, 1, 27, -13, 7, 0. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an odd number of terms, the median is simply the middle number after sorting, which is 1.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 13 Math Example--Measures of Central Tendency--Median: Example 13 Math Example--Measures of Central Tendency--Median: Example 13

Topic

Measures of Central Tendency

Description

This example illustrates the process of finding the median for the set of numbers: 0, 25, 26, 49, 39, 27, 1, 27, 38, 49, 10, 40. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of 27.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 14 Math Example--Measures of Central Tendency--Median: Example 14 Math Example--Measures of Central Tendency--Median: Example 14

Topic

Measures of Central Tendency

Description

This example demonstrates finding the median of the following set of numbers: 45, 2, 20, 2, 37, 11, 46, 49, 21, 27, 50, 45. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of 32.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 15 Math Example--Measures of Central Tendency--Median: Example 15 Math Example--Measures of Central Tendency--Median: Example 15

Topic

Measures of Central Tendency

Description

This example illustrates the process of finding the median for the set of numbers: 2, -20, -5, 45, -15, 6, 27, 21, -17, -1, -31, -1. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of -1.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 16 Math Example--Measures of Central Tendency--Median: Example 16 Math Example--Measures of Central Tendency--Median: Example 16

Topic

Measures of Central Tendency

Description

This example demonstrates finding the median of the following set of numbers: -18, -22, 21, 1, -37, 15, 16, -50, 10, -44, 34, -22. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of -8.5.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 17 Math Example--Measures of Central Tendency--Median: Example 17 Math Example--Measures of Central Tendency--Median: Example 17

Topic

Measures of Central Tendency

Description

This example illustrates the process of finding the median for the set of numbers: 8, 14, 8, 45, 1, 31, 16, 40, 12, 30, 42, 30, 24. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an odd number of terms, the median is simply the middle number after sorting, which is 24.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 18 Math Example--Measures of Central Tendency--Median: Example 18 Math Example--Measures of Central Tendency--Median: Example 18

Topic

Measures of Central Tendency

Description

This example demonstrates finding the median of the following set of numbers: 40, -2, 10, 40, -31, 3, -34, -13, -10, 1, 30, 16, -16. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an odd number of terms, the median is simply the middle number after sorting, which is 1.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 19 Math Example--Measures of Central Tendency--Median: Example 19 Math Example--Measures of Central Tendency--Median: Example 19

Topic

Measures of Central Tendency

Description

This example illustrates the process of finding the median for the set of numbers: 4, 12, 13, 35, 6, 16, 14, 27, 34, 30, 17, 17, 27, 44. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of 17.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 20 Math Example--Measures of Central Tendency--Median: Example 20 Math Example--Measures of Central Tendency--Median: Example 20

Topic

Measures of Central Tendency

Description

This example demonstrates finding the median of the following set of numbers: 37, 6, 37, 36, 7, 28, 24, 30, 37, 39, 46, 12, 29, 23. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of 29.5.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 21 Math Example--Measures of Central Tendency--Median: Example 21 Math Example--Measures of Central Tendency--Median: Example 21

Topic

Measures of Central Tendency

Description

This example illustrates the process of finding the median for the set of numbers: 29, 23, 29, -29, -7, -29, 19, 34, 39, 30, -2, 40, 34, 42. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of 29.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 22 Math Example--Measures of Central Tendency--Median: Example 22 Math Example--Measures of Central Tendency--Median: Example 22

Topic

Measures of Central Tendency

Description

This example demonstrates finding the median of the following set of numbers: 0, 12, -43, -1, 40, 1, 26, 31, 35, 18, 30, 19, 10, -46. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of 15.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 23 Math Example--Measures of Central Tendency--Median: Example 23 Math Example--Measures of Central Tendency--Median: Example 23

Topic

Measures of Central Tendency

Description

This example illustrates the process of finding the median for the set of numbers: 34, 29, 31, 49, 49, 14, 24, 13, 8, 6, 17, 23, 40, 10, 17. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an odd number of terms, the median is simply the middle number after sorting, which is 23.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 24 Math Example--Measures of Central Tendency--Median: Example 24 Math Example--Measures of Central Tendency--Median: Example 24

Topic

Measures of Central Tendency

Description

This example demonstrates finding the median of the following set of numbers: -33, -20, 15, -21, -6, -41, -39, 9, -18, 22, 37, -20, -21, 42, -16. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an odd number of terms, the median is simply the middle number after sorting, which is -18.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 25 Math Example--Measures of Central Tendency--Median: Example 25 Math Example--Measures of Central Tendency--Median: Example 25

Topic

Measures of Central Tendency

Description

This example illustrates the process of finding the median for the set of numbers: 35, 36, 15, 42, 31, 32, 27, 30, 45, 22, 37, 18, 26, 31, 33, 5. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of 31.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 26 Math Example--Measures of Central Tendency--Median: Example 26 Math Example--Measures of Central Tendency--Median: Example 26

Topic

Measures of Central Tendency

Description

This example demonstrates finding the median of the following set of numbers: 2, 49, 41, 30, 49, 35, 3, 35, 22, 41, 14, 37, 26, 21, 4, 47. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of 32.5.

Data Analysis
Math Example--Measures of Central Tendency--Median: Example 27 Math Example--Measures of Central Tendency--Median: Example 27 Math Example--Measures of Central Tendency--Median: Example 27

Topic

Measures of Central Tendency

Description

This example illustrates the process of finding the median for the set of numbers: 3, -43, 39, 29, 0, -23, 16, -35, 3, 32, -45, 2, -50, 7, 40, 24. The solution involves arranging the numbers from least to greatest and then identifying the middle value. With an even number of terms, the median is calculated as the average of the two middle terms, resulting in a median of 3.

Data Analysis