Illustrative Math-Media4Math Alignment

 

 

Illustrative Math Alignment: Grade 6 Unit 8

Data Sets and Distributions

Lesson 3: Representing Data Graphically

Use the following Media4Math resources with this Illustrative Math lesson.

Thumbnail Image Title Body Curriculum Nodes
WORKSHEET, Word Search Puzzle--Data Analysis, Puzzle 1 WORKSHEET: Word Search Puzzle--Data Analysis, Puzzle 1 WORKSHEET: Word Search Puzzle--Data Analysis, Puzzle 1

Solve a word search puzzle on the topic of Data Analysis.

This is part of a collection of math games and interactives. To see the complete collection of the games, click on this link. Note: The download is puzzle and answer key.

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Data Analysis
Worksheet: TI-Nspire Mini-Tutorial: Graphing a Scatterplot Using a Statistics Window Worksheet: TI-Nspire Mini-Tutorial: Graphing a Scatterplot Using a Statistics Window Worksheet: TI-Nspire Mini-Tutorial: Graphing a Scatterplot Using a Statistics Window

This is part of a collection of math worksheets on the use of the TI-Nspire graphing calculator. Each worksheet supports a companion TI-Nspire Mini-Tutorial video. It provides all the keystrokes for the activity.

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

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Data Analysis
Worksheet: TI-Nspire Mini-Tutorial: Graphing a Scatterplot Using a Graphs and Geometry Window Worksheet: TI-Nspire Mini-Tutorial: Graphing a Scatterplot Using a Graphs and Geometry Window Worksheet: TI-Nspire Mini-Tutorial: Graphing a Scatterplot Using a Graphs and Geometry Window

This is part of a collection of math worksheets on the use of the TI-Nspire graphing calculator. Each worksheet supports a companion TI-Nspire Mini-Tutorial video. It provides all the keystrokes for the activity.

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

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Data Analysis
Worksheet: TI-Nspire Mini-Tutorial: Graphing a Box-and-Whisker Plot Worksheet: TI-Nspire Mini-Tutorial: Graphing a Box-and-Whisker Plot Worksheet: TI-Nspire Mini-Tutorial: Graphing a Box-and-Whisker Plot

This is part of a collection of math worksheets on the use of the TI-Nspire graphing calculator. Each worksheet supports a companion TI-Nspire Mini-Tutorial video. It provides all the keystrokes for the activity.

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

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Worksheet Library

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Data Analysis
Worksheet: TI-Nspire Mini-Tutorial: Finding the Median of a Data List Worksheet: TI-Nspire Mini-Tutorial: Finding the Median of a Data List Worksheet: TI-Nspire Mini-Tutorial: Finding the Median of a Data List

This is part of a collection of math worksheets on the use of the TI-Nspire graphing calculator. Each worksheet supports a companion TI-Nspire Mini-Tutorial video. It provides all the keystrokes for the activity.

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

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Worksheet Library

To see the complete collection of Worksheets, click on this link.
Data Analysis
Worksheet: TI-Nspire Mini-Tutorial: Finding the Mean of a Data List Worksheet: TI-Nspire Mini-Tutorial: Finding the Mean of a Data List Worksheet: TI-Nspire Mini-Tutorial: Finding the Mean of a Data List

This is part of a collection of math worksheets on the use of the TI-Nspire graphing calculator. Each worksheet supports a companion TI-Nspire Mini-Tutorial video. It provides all the keystrokes for the activity.

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

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Worksheet Library

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Data Analysis
Worksheet: TI-Nspire Mini-Tutorial: Creating a Random Number Table Worksheet: TI-Nspire Mini-Tutorial: Creating a Random Number Table Worksheet: TI-Nspire Mini-Tutorial: Creating a Random Number Table

This is part of a collection of math worksheets on the use of the TI-Nspire graphing calculator. Each worksheet supports a companion TI-Nspire Mini-Tutorial video. It provides all the keystrokes for the activity.

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

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Worksheet Library

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Probability
Worksheet: TI-Nspire Mini-Tutorial: Creating a Histogram Worksheet: TI-Nspire Mini-Tutorial: Creating a Histogram Worksheet: TI-Nspire Mini-Tutorial: Creating a Histogram

This is part of a collection of math worksheets on the use of the TI-Nspire graphing calculator. Each worksheet supports a companion TI-Nspire Mini-Tutorial video. It provides all the keystrokes for the activity.

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

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Worksheet Library

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Data Analysis
Worksheet: TI-Nspire Mini-Tutorial: A Probability Simulation of Tossing Two Coins Multiple Times (with Bar Graph) Worksheet: TI-Nspire Mini-Tutorial: A Probability Simulation of Tossing Two Coins Multiple Times (with Bar Graph) Worksheet: TI-Nspire Mini-Tutorial: A Probability Simulation of Tossing Two Coins Multiple Times (with Bar Graph)

This is part of a collection of math worksheets on the use of the TI-Nspire graphing calculator. Each worksheet supports a companion TI-Nspire Mini-Tutorial video. It provides all the keystrokes for the activity.

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

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Probability
Worksheet: TI-Nspire Mini-Tutorial: A Probability Simulation of Tossing a Coin Multiple Times (with Bar Graph) Worksheet: TI-Nspire Mini-Tutorial: A Probability Simulation of Tossing a Coin Multiple Times (with Bar Graph) Worksheet: TI-Nspire Mini-Tutorial: A Probability Simulation of Tossing a Coin Multiple Times (with Bar Graph)

This is part of a collection of math worksheets on the use of the TI-Nspire graphing calculator. Each worksheet supports a companion TI-Nspire Mini-Tutorial video. It provides all the keystrokes for the activity.

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

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Worksheet Library

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Probability
Worksheet: TI-Nspire Mini-Tutorial: A Probability Simulation of Rolling Two Dice Multiple Times (with Histogram) Worksheet: TI-Nspire Mini-Tutorial: A Probability Simulation of Rolling Two Dice Multiple Times (with Histogram) Worksheet: TI-Nspire Mini-Tutorial: A Probability Simulation of Rolling Two Dice Multiple Times (with Histogram)

This is part of a collection of math worksheets on the use of the TI-Nspire graphing calculator. Each worksheet supports a companion TI-Nspire Mini-Tutorial video. It provides all the keystrokes for the activity.

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

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Worksheet Library

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Probability
Worksheet: TI-Nspire Mini-Tutorial: (CAS) Exploring induction: Finding the Formula for the Sum of Consecutive Odd Integers Worksheet: TI-Nspire Mini-Tutorial: (CAS) Exploring induction: Finding the Formula for the Sum of Consecutive Odd Integers Worksheet: TI-Nspire Mini-Tutorial: (CAS) Exploring induction: Finding the Formula for the Sum of Consecutive Odd Integers

This is part of a collection of math worksheets on the use of the TI-Nspire graphing calculator. Each worksheet supports a companion TI-Nspire Mini-Tutorial video. It provides all the keystrokes for the activity.

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

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Worksheet Library

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Sequences and Series
Worksheet: TI-Nspire Mini-Tutorial: (CAS) Exploring induction: Finding the Formula for the Sum of Consecutive Integers Worksheet: TI-Nspire Mini-Tutorial: (CAS) Exploring induction: Finding the Formula for the Sum of Consecutive Integers Worksheet: TI-Nspire Mini-Tutorial: (CAS) Exploring induction: Finding the Formula for the Sum of Consecutive Integers

This is part of a collection of math worksheets on the use of the TI-Nspire graphing calculator. Each worksheet supports a companion TI-Nspire Mini-Tutorial video. It provides all the keystrokes for the activity.

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

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Worksheet Library

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Sequences and Series
Video Transcript: Algebra Nspirations: Data Analysis and Probability, Part 2 Video Transcript: Algebra Nspirations: Data Analysis and Probability, 2 Video Transcript: Algebra Nspirations: Data Analysis and Probability, Part 2

This is the transcript for the video of same title. Video contents: In this Math Lab a hands-on probability activity involving coins is explored.

This is part of a collection of video transcript from the Algebra Nspirations video series. To see the complete collection of transcripts, click on this link. Note: The download is a PDF file. Video Transcript Library

To see the complete collection of video transcriptsy, click on this link.

Data Analysis
Video Transcript: Algebra Nspirations: Data Analysis and Probability, Part 1 Video Transcript: Algebra Nspirations: Data Analysis and Probability, 1 Video Transcript: Algebra Nspirations: Data Analysis and Probability, Part 1

This is the transcript for the video of same title. Video contents: In this Investigation we explore uncertainty and randomness.

This is part of a collection of video transcript from the Algebra Nspirations video series. To see the complete collection of transcripts, click on this link. Note: The download is a PDF file. Video Transcript Library

To see the complete collection of video transcriptsy, click on this link.

Data Analysis
Video Transcript: Algebra Nspirations: Data Analysis and Probability Video Transcript: Algebra Nspirations: Data Analysis and Probability Video Transcript: Algebra Nspirations: Data Analysis and Probability

This is the transcript for the video of same title. Video contents: What are the two meanings of statistics? What does it really mean that an event has a 50% probability of occurring? Why are data analysis and probability always taught together? Written and hosted by internationally acclaimed math educator Dr. Monica Neagoy, this video answers these questions and addresses fundamental concepts such as the law of large numbers and the notion of regression analysis. Both engaging investigations are based on true stories and real data, utilize different TI-Nspire iPad Applications, and model the seamless connection among various problem representations. Concepts explored: statistics, data analysis, regression analysis

Data Analysis
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 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 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--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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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--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 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 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