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 |
|---|---|---|---|
|
Math Example--Measures of Central Tendency--Median: Example 31 | Math Example--Measures of Central Tendency--Median: Example 31TopicMeasures of Central Tendency DescriptionThis example illustrates the process of finding the median for the set of numbers: 13, 33, 13, 4, 6, 0, 28, 0, 26, 8, 8, 27, 12, 33, 16, 48, 9, 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 13. |
Data Analysis |
|
Math Example--Measures of Central Tendency--Median: Example 30 | Math Example--Measures of Central Tendency--Median: Example 30TopicMeasures of Central Tendency DescriptionThis example demonstrates finding the median of the following set of numbers: 20, 30, 17, -36, 26, 6, 8, -30, -21, 0, 42, -19, -34, 39, 6, -18, 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 6. |
Data Analysis |
|
Math Example--Measures of Central Tendency--Median: Example 29 | Math Example--Measures of Central Tendency--Median: Example 29TopicMeasures of Central Tendency DescriptionThis example illustrates the process of finding the median for the set of numbers: 26, 26, 22, 2, 25, 1, 40, 41, 26, 49, 13, 27, 30, 34, 23, 39, 6. 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 26. |
Data Analysis |
|
Math Example--Measures of Central Tendency--Median: Example 28 | Math Example--Measures of Central Tendency--Median: Example 28TopicMeasures of Central Tendency DescriptionThis example demonstrates finding the median of the following set of numbers: 21, 49, 40, -39, 47, 25, 13, -35, -4, 1, 13, 1, 14, -34, -15, -12. 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 7. |
Data Analysis |
|
Math Example--Measures of Central Tendency--Median: Example 27 | Math Example--Measures of Central Tendency--Median: Example 27TopicMeasures of Central Tendency DescriptionThis 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 |
|
Math Example--Measures of Central Tendency--Median: Example 26 | Math Example--Measures of Central Tendency--Median: Example 26TopicMeasures of Central Tendency DescriptionThis 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 25 | Math Example--Measures of Central Tendency--Median: Example 25TopicMeasures of Central Tendency DescriptionThis 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 24 | Math Example--Measures of Central Tendency--Median: Example 24TopicMeasures of Central Tendency DescriptionThis 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 23 | Math Example--Measures of Central Tendency--Median: Example 23TopicMeasures of Central Tendency DescriptionThis 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 22 | Math Example--Measures of Central Tendency--Median: Example 22TopicMeasures of Central Tendency DescriptionThis 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 21 | Math Example--Measures of Central Tendency--Median: Example 21TopicMeasures of Central Tendency DescriptionThis 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 20 | Math Example--Measures of Central Tendency--Median: Example 20TopicMeasures of Central Tendency DescriptionThis 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 19 | Math Example--Measures of Central Tendency--Median: Example 19TopicMeasures of Central Tendency DescriptionThis 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 18 | Math Example--Measures of Central Tendency--Median: Example 18TopicMeasures of Central Tendency DescriptionThis 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 17 | Math Example--Measures of Central Tendency--Median: Example 17TopicMeasures of Central Tendency DescriptionThis 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 16 | Math Example--Measures of Central Tendency--Median: Example 16TopicMeasures of Central Tendency DescriptionThis 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 15 | Math Example--Measures of Central Tendency--Median: Example 15TopicMeasures of Central Tendency DescriptionThis 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 14 | Math Example--Measures of Central Tendency--Median: Example 14TopicMeasures of Central Tendency DescriptionThis 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 13 | Math Example--Measures of Central Tendency--Median: Example 13TopicMeasures of Central Tendency DescriptionThis 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 12 | Math Example--Measures of Central Tendency--Median: Example 12TopicMeasures of Central Tendency DescriptionThis 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 11 | Math Example--Measures of Central Tendency--Median: Example 11TopicMeasures of Central Tendency DescriptionThis 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 10 | Math Example--Measures of Central Tendency--Median: Example 10TopicMeasures of Central Tendency DescriptionThis 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 9 | Math Example--Measures of Central Tendency--Median: Example 9TopicMeasures of Central Tendency DescriptionThis 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 8 | Math Example--Measures of Central Tendency--Median: Example 8TopicMeasures of Central Tendency DescriptionThis 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 7 | Math Example--Measures of Central Tendency--Median: Example 7TopicMeasures of Central Tendency DescriptionThis 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 6 | Math Example--Measures of Central Tendency--Median: Example 6TopicMeasures of Central Tendency DescriptionThis 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 5 | Math Example--Measures of Central Tendency--Median: Example 5TopicMeasures of Central Tendency DescriptionThis 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 4 | Math Example--Measures of Central Tendency--Median: Example 4TopicMeasures of Central Tendency DescriptionThis 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 3 | Math Example--Measures of Central Tendency--Median: Example 3TopicMeasures of Central Tendency DescriptionThis 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 2 | Math Example--Measures of Central Tendency--Median: Example 2TopicMeasures of Central Tendency DescriptionThis 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 1 | Math Example--Measures of Central Tendency--Median: Example 1TopicMeasures of Central Tendency DescriptionThis 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--Mean: Example 42 | Math Example--Measures of Central Tendency--Mean: Example 42TopicMeasures of Central Tendency DescriptionThis 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 41TopicMeasures of Central Tendency DescriptionThis 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 40TopicMeasures of Central Tendency DescriptionThis 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 9 | Math Example--Measures of Central Tendency--Mean: Example 9TopicMeasures of Central Tendency DescriptionThis 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 18 | Math Example--Measures of Central Tendency--Mean: Example 18TopicMeasures of Central Tendency DescriptionThis 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 17 | Math Example--Measures of Central Tendency--Mean: Example 17TopicMeasures of Central Tendency DescriptionThis 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 16 | Math Example--Measures of Central Tendency--Mean: Example 16TopicMeasures of Central Tendency DescriptionThis 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 15 | Math Example--Measures of Central Tendency--Mean: Example 15TopicMeasures of Central Tendency DescriptionThis 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 14 | Math Example--Measures of Central Tendency--Mean: Example 14TopicMeasures of Central Tendency DescriptionThis 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 13 | Math Example--Measures of Central Tendency--Mean: Example 13TopicMeasures of Central Tendency DescriptionThis 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 12 | Math Example--Measures of Central Tendency--Mean: Example 12TopicMeasures of Central Tendency DescriptionThis 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 11 | Math Example--Measures of Central Tendency--Mean: Example 11TopicMeasures of Central Tendency DescriptionThis 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 10 | Math Example--Measures of Central Tendency--Mean: Example 10TopicMeasures of Central Tendency DescriptionThis 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 4 | Math Example--Measures of Central Tendency--Mean: Example 4TopicMeasures of Central Tendency DescriptionThis 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--Mode: Example 27 | Math Example--Measures of Central Tendency--Mode: Example 27TopicMeasures of Central Tendency DescriptionThis example showcases a situation of measures of central tendency, where the goal is to identify a key summary measure in a set of data. The image illustrates a math problem about determining the mode from a list of numbers. The sorted list shows two modes (23 and 24) highlighted as they appear most frequently. This demonstrates that a data set can have more than one mode, which occurs when two or more numbers appear with the highest frequency. |
Data Analysis |
|
Math Example--Measures of Central Tendency--Mean: Example 1 | Math Example--Measures of Central Tendency--Mean: Example 1TopicMeasures of Central Tendency DescriptionThis 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 2TopicMeasures of Central Tendency DescriptionThis 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 3TopicMeasures of Central Tendency DescriptionThis 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 6 | Math Example--Measures of Central Tendency--Mean: Example 6TopicMeasures of Central Tendency DescriptionThis 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 |
