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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
WorksheetThumbnail.jpg Worksheet: Finding the Mode, Set 18 Worksheet: Finding the Mode, Set 18

This is part of a collection of math worksheets on the topic of finding the mode.

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Data Analysis
WorksheetThumbnail.jpg Worksheet: Finding the Mode, Set 19 Worksheet: Finding the Mode, Set 19

This is part of a collection of math worksheets on the topic of finding the mode.

To see the complete worksheet collection on this topic, click on this link. Note: The download is a PDF file.

Related Resources

To see additional resources on this topic, click on the Related Resources tab.

Worksheet Library

To see the complete collection of Worksheets, click on this link.
Data Analysis
WorksheetThumbnail.jpg Worksheet: Finding the Mode, Set 20 Worksheet: Finding the Mode, Set 20

This is part of a collection of math worksheets on the topic of finding the mode.

To see the complete worksheet collection on this topic, click on this link. Note: The download is a PDF file.

Related Resources

To see additional resources on this topic, click on the Related Resources tab.

Worksheet Library

To see the complete collection of Worksheets, click on this link.
Data Analysis
Video Transcript: Algebra Applications: Variables and Equations Video Transcript: Algebra Applications: Variables and Equations Video Transcript: Algebra Applications: Variables and Equations

This is the transcript for the video of same title. Video contents: In this episode of Algebra Applications, two real-world explorations are developed: Biology. Analyzing statistics from honey bee production allows for a mathematical analysis of the so-called Colony Collapse Disorder. Geology. Why do rivers meander instead of traveling in a straight line? In this segment the geological forces that account for a river??s motion are explained.

Applications of Equations and Inequalities
Video Transcript: Algebra Applications: Variables and Equations, Segment 2: Honey Production Video Transcript: Algebra Applications: Variables and Equations, Segment 2: Honey Production Video Transcript: Algebra Applications: Variables and Equations, Segment 2: Honey Production

This is the transcript for the video of same title. Video contents: Honey bees not only produce a tasty treat, they also help pollinate flowering plants that provide much of the food throughout the world. So, when in 2006 bee colonies started dying out, scientists recognized a serious problem. Analyzing statistics from honey bee production allows for a mathematical analysis of the so-called Colony Collapse Disorder.

Applications of Equations and Inequalities
Math Example--Measures of Central Tendency--Range: Example 1 Math Example--Measures of Central Tendency--Range: Example 1 Math Example--Measures of Central Tendency--Range: Example 1

Topic

Measures of Central Tendency

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

Topic

Measures of Central Tendency

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

Topic

Measures of Central Tendency

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

Topic

Measures of Central Tendency

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

Topic

Measures of Central Tendency

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

Topic

Measures of Central Tendency

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

Topic

Measures of Central Tendency

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

Topic

Measures of Central Tendency

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

Topic

Measures of Central Tendency

Description

This example demonstrates how to find the range of a set of numbers: 22, 13, 15, 1, 16, 28, 3, 5, 18, 42, 8, 9. The solution involves arranging the numbers from least to greatest and finding the difference between the two extremes. The range is calculated to be 41. This example is valuable for understanding the concept of range, as it teaches students how to identify the maximum and minimum from a set of numbers and find their difference. The process encourages critical thinking and helps students visualize the relationship between numbers in a dataset.

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

Topic

Measures of Central Tendency

Description

This example illustrates how to find the range of the following set of numbers: -33, 38, 29, -8, 12, 2, 36, -8, 12, 18, -23, 50. The solution involves arranging the numbers from least to greatest and finding the difference between the two extremes. The range is calculated to be 83. This example is particularly useful as it includes both positive and negative numbers, helping students understand how to handle different types of values when calculating the range.

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

Topic

Measures of Central Tendency

Description

This example demonstrates how to find the range of the following set of numbers: 16, 50, 24, 31, 30, 6, 22, 32, 43, 27, 48, 17, 36. The solution involves arranging the numbers from least to greatest and finding the difference between the two extremes. The range is calculated to be 44. This example is valuable for understanding the concept of range, as it teaches students how to identify the maximum and minimum from a larger set of numbers and find their difference.

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

Topic

Measures of Central Tendency

Description

This example illustrates how to find the range of the following set of numbers: 34, 5, 43, 24, -48, -31, -49, 8, -41, 5, 0, 20, -41. The solution involves arranging the numbers from least to greatest and finding the difference between the two extremes. The range is calculated to be 92. This example is particularly valuable as it includes a mix of positive, negative, and zero values, helping students understand how to handle diverse datasets when calculating the range.

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

Topic

Measures of Central Tendency

Description

This example demonstrates how to find the range of the following set of numbers: 49, 50, 18, 47, 29, 33, 27, 23, 34, 43, 17, 10, 15, 22. The solution involves arranging the numbers from least to greatest (10 to 50) and finding the difference between the two extremes. The range is calculated to be 40. This example is valuable for understanding the concept of range, as it teaches students how to identify the maximum and minimum from a larger set of numbers and find their difference.

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

Topic

Measures of Central Tendency

Description

This example illustrates how to find the range of the following set of numbers: 0, 12, -41, -47, 7, -29, -34, -24, 38, 25, 23, -9, 38, 12. The solution involves arranging the numbers from least to greatest (-47 to 38) and finding the difference between the two extremes. The range is calculated to be 85. This example is particularly valuable as it includes a mix of positive, negative, and zero values, helping students understand how to handle diverse datasets when calculating the range.

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

Topic

Measures of Central Tendency

Description

This example demonstrates how to find the range of the following set of numbers: 49, 20, 13, 40, 45, 14, 2, 27, 16, 48, 43, 39, 44, 26, 12. The solution involves arranging the numbers from least to greatest (2 to 49) and finding the difference between the two extremes. The range is calculated to be 47. This example is valuable for understanding the concept of range, as it teaches students how to identify the maximum and minimum from a larger set of numbers and find their difference.

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

Topic

Measures of Central Tendency

Description

This example demonstrates how to find the range of the following set of numbers: 30, -34, -2, 24, 12, 39, 38, 27, 38, -18, 11, -37, 25, 22, 24. The solution involves arranging the numbers from least to greatest (-37 to 39) and finding the difference between the two extremes. The range is calculated to be 76. This example is particularly valuable as it includes a mix of positive and negative values, helping students understand how to handle diverse datasets when calculating the range.

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

Topic

Measures of Central Tendency

Description

This example illustrates how to find the range of the following set of numbers: 47, 21, 31, 10, 18, 14, 29, 24, 17, 1, 43, 41, 48, 23, 37, 40. The solution involves arranging the numbers from least to greatest and finding the difference between the two extremes. The range is calculated to be 47. This example is valuable for understanding the concept of range, as it teaches students how to identify the maximum and minimum from a larger set of positive numbers and find their difference.

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

Topic

Measures of Central Tendency

Description

This example demonstrates how to find the range of the following set of numbers: -2, -10, 24, -2, 26, 50, -40, 50, -40, 36, 30, -19, -40, 46, 27, -2. The solution involves arranging the numbers from least to greatest and finding the difference between the two extremes. The range is calculated to be 90. This example is particularly valuable as it includes a mix of positive and negative values, as well as repeated numbers, helping students understand how to handle diverse and complex datasets when calculating the range.

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

Topic

Measures of Central Tendency

Description

This example illustrates how to find the range of the following set of numbers: 14, 29, 44, 37, 9, 6, 41, 30, 19, 2, 38, 50, 26, 24, 40, 11, 45. The solution involves arranging the numbers from least to greatest and finding the difference between the two extremes. The range is calculated to be 48. This example is valuable for understanding the concept of range, as it teaches students how to identify the maximum and minimum from a larger set of positive numbers and find their difference.

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

Topic

Measures of Central Tendency

Description

This example demonstrates how to find the range of the following set of numbers: 30, 31, -27, 46, 25, 6, 41, 1, -27, 40, -8, -35, 9, -25, -25, -41, -38. The solution involves arranging the numbers from least to greatest and finding the difference between the two extremes. The range is calculated to be 87. This example is particularly valuable as it includes a mix of positive and negative values, as well as repeated numbers, helping students understand how to handle diverse and complex datasets when calculating the range.

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

Topic

Measures of Central Tendency

Description

This example demonstrates how to find the range of the following set of numbers: 25, 45, 10, 34, 48, 31, 50, 0, 12, 40, 43, 18, 30, 32, 7, 17, 42, 6. The solution involves arranging the numbers from least to greatest and finding the difference between the two extremes. The range is calculated to be 50. This example is valuable for understanding the concept of range, as it teaches students how to identify the maximum and minimum from a larger set of positive numbers and find their difference.

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

Topic

Measures of Central Tendency

Description

This example illustrates how to find the range of the following set of numbers: 33, -42, -13, 1, -17, -40, -2, -34, 25, 9, -19, -5, 30, -1, -5, 26, 42, -40. The solution involves arranging the numbers from least to greatest and finding the difference between the two extremes. The range is calculated to be 84. This example is particularly valuable as it includes a mix of positive and negative values, helping students understand how to handle diverse datasets when calculating the range.

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

Topic

Measures of Central Tendency

Description

This example demonstrates how to find the range of the following set of numbers: 39, 28, 32, 33, 49, 46, 43, 17, 35, 11, 40, 31, 26, 1, 44, 37, 20, 15, 27. The solution involves arranging the numbers from least to greatest and finding the difference between the two extremes. The range is calculated to be 48. This example is valuable for understanding the concept of range, as it teaches students how to identify the maximum and minimum from a larger set of positive numbers and find their difference.

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

Topic

Measures of Central Tendency

Description

This example illustrates how to find the range of the following set of numbers: 15, 21, -34, 32, -46, 15, 27, -35, -35, 15, -47, 27, 7, 38, 33, 27, 49, 39, -12. The solution involves arranging the numbers from least to greatest and finding the difference between the two extremes. The range is calculated to be 96. This example is particularly valuable as it includes a mix of positive and negative values, as well as repeated numbers, helping students understand how to handle diverse and complex datasets when calculating the range.

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

Topic

Measures of Central Tendency

Description

This example demonstrates how to find the range of the following set of numbers: 42, 31, 16, 0, 35, 26, 30, 14, 6, 2, 13, 37, 33, 36, 19, 48, 3, 9, 45, 12. The solution involves arranging the numbers from least to greatest and finding the difference between the two extremes. The range is calculated to be 48. This example is valuable for understanding the concept of range, as it teaches students how to identify the maximum and minimum from a larger set of non-negative numbers and find their difference.

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

Topic

Measures of Central Tendency

Description

This example illustrates how to find the range of the following set of numbers: 28, 49, 1, -19, -37, 43, 27, 32, -10, 39, -19, -48, -49, 28, 36, 37, 44, 42, 29, -17. The solution involves arranging the numbers from least to greatest and finding the difference between the two extremes. The range is calculated to be 98. This example is particularly valuable as it includes a mix of positive and negative values, as well as repeated numbers, helping students understand how to handle diverse and complex datasets when calculating the range.

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

Topic

Measures of Central Tendency

Description

This example demonstrates how to calculate the mean of a dataset, a fundamental concept in statistics. The mean, often referred to as the average, is a measure of central tendency that provides insight into the typical value of a dataset. By visually presenting the calculation process, students can better grasp the concept and its application in real-world scenarios.

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

Topic

Measures of Central Tendency

Description

This example builds upon the concept of calculating the mean, introducing a slightly more complex dataset. It illustrates how the mean remains an effective measure of central tendency even as the numbers in the dataset become more varied. The visual representation helps students understand the step-by-step process of summing all values and dividing by the count of numbers.

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

Topic

Measures of Central Tendency

Description

This example further explores the concept of calculating the mean, introducing a dataset with a different range of values. It demonstrates how the mean can be used to find a central value even when the numbers in the dataset are more spread out. The visual representation continues to reinforce the process of summing all values and dividing by the count of numbers.

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

Topic

Measures of Central Tendency

Description

This example continues to reinforce the concept of calculating the mean, presenting a new set of numbers for analysis. It emphasizes the consistency of the process: summing all values and dividing by the count of numbers, regardless of the specific values in the dataset. The visual representation helps students see how different numbers can still lead to a single, representative value.

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

Topic

Measures of Central Tendency

Description

This fifth example in the series on calculating the mean introduces yet another set of numbers, further reinforcing the universality of the concept. It demonstrates how the process of finding the mean remains consistent: summing all values and dividing by the count of numbers, regardless of the specific values or the size of the dataset. The visual representation continues to aid in understanding the step-by-step process.

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

Topic

Measures of Central Tendency

Description

This sixth example in the series on calculating the mean introduces a new set of numbers, further solidifying the concept and its application. It reiterates the consistent process of finding the mean: summing all values and dividing by the count of numbers, regardless of the specific values in the dataset. The visual representation continues to support understanding of each step in the calculation.

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

Topic

Measures of Central Tendency

Description

This seventh example in the series on calculating the mean presents yet another set of numbers, further reinforcing the concept and its application in various scenarios. It continues to demonstrate the consistent process of finding the mean: summing all values and dividing by the count of numbers, regardless of the specific values or the size of the dataset. The visual representation aids in understanding each step of the calculation process.

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

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for a set of numbers: 2, 19, 7, 19, 16, 19, and 0. The process involves summing all values and dividing by the count of numbers, resulting in an average of approximately 11.71. This example reinforces the concept of finding a central value that represents the entire dataset.

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

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for the numbers 14, 11, 0, 19, 16, 16, 7, and 5. The process involves summing all values (88) and dividing by the count of numbers (8), resulting in a mean of 11. This example showcases how the mean can provide a central value that represents a diverse set of numbers, including zero.

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

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for the numbers 16, 18, 0, 19, 12, 10, 7, and 20. The process involves summing all values (102) and dividing by the count of numbers (8), resulting in a mean of 12.75. This example highlights how the mean can provide a representative value for a dataset that includes both high and low numbers, including zero.

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

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for the numbers 9, 3, 19, 9, 15, 15, 20, 7, and 2. The process involves summing all values (99) and dividing by the count of numbers (9), resulting in a mean of 11. This example demonstrates how the mean can provide a central value that represents a dataset with repeated numbers and a wide range of values.

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

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for the numbers 17, 3, 10, 12, 4, 17, 7, 17, and 19. The process involves summing all values (106) and dividing by the count of numbers (9), resulting in a mean of approximately 11.78. This example showcases how the mean can provide a representative value for a dataset that includes repeated numbers and a wide range of values.

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

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for the numbers 13, 7, 6, 19, 12, 7, 20, 9, 12, and 15. The process involves summing all values (120) and dividing by the count of numbers (10), resulting in a mean of 12. This example demonstrates how the mean can provide a central value that represents a dataset with repeated numbers and a wide range of values.

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

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for the numbers 10, 2, 7, 16, 16, 17, 3, 10, 18, and 15. The process involves summing all values (114) and dividing by the count of numbers (10), resulting in a mean of 11.4. This example showcases how the mean can provide a representative value for a dataset that includes repeated numbers and a wide range of values.

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

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for the numbers -11, 2, 5, and -16. The process involves summing all values (-20) and dividing by the count of numbers (4), resulting in a mean of -5. This example is particularly important as it demonstrates how to handle negative numbers when calculating the mean, a concept that often challenges students.

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

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for the numbers -4, 18, -19, and 6. The process involves summing all values (1) and dividing by the count of numbers (4), resulting in a mean of 0.25. This example is particularly interesting as it shows how positive and negative numbers can nearly balance each other out, resulting in a mean close to zero.

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

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for the numbers 15, 17, -20, -5, and 18. The process involves summing all values (25) and dividing by the count of numbers (5), resulting in a mean of 5. 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.

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

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for the numbers -13, 9, 4, 14, and 8. The process involves summing all values (22) and dividing by the count of numbers (5), resulting in a mean of 4.4. This example is particularly instructive as it shows how a single 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 19 Math Example--Measures of Central Tendency--Mean: Example 19 Math Example--Measures of Central Tendency--Mean: Example 19

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for the numbers 14, -7, 5, 11, -5, and 0. The process involves summing all values (18) and dividing by the count of numbers (6), 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