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Illustrative Math-Media4Math Alignment

 

 

Illustrative Math Alignment: Grade 7 Unit 8

Probability and Sampling

Lesson 19: Comparing Populations With Friends

Use the following Media4Math resources with this Illustrative Math lesson.

Thumbnail Image Title Body Curriculum Topic
Math Clip Art--Statistics--Inferences and Sample Size, Image 3 Math Clip Art--Statistics--Inferences and Sample Size--03 Math Clip Art--Statistics--Inferences and Sample Size--03

This is part of a collection of math clip art images that show different statistical graphs and concepts, along with some probability concepts.

Data Gathering
Math Clip Art--Statistics--Inferences and Sample Size, Image 4 Math Clip Art--Statistics--Inferences and Sample Size--04 Math Clip Art--Statistics--Inferences and Sample Size--04

This is part of a collection of math clip art images that show different statistical graphs and concepts, along with some probability concepts.

Data Gathering
Math Clip Art--Statistics--Inferences and Sample Size, Image 5 Math Clip Art--Statistics--Inferences and Sample Size--05 Math Clip Art--Statistics--Inferences and Sample Size--05

This is part of a collection of math clip art images that show different statistical graphs and concepts, along with some probability concepts.

Data Gathering
Math Clip Art--Statistics--Inferences and Sample Size, Image 6 Math Clip Art--Statistics--Inferences and Sample Size--06 Math Clip Art--Statistics--Inferences and Sample Size--06

This is part of a collection of math clip art images that show different statistical graphs and concepts, along with some probability concepts.

Data Gathering
Math Clip Art--Statistics--Inferences and Sample Size, Image 7 Math Clip Art--Statistics--Inferences and Sample Size--07 Math Clip Art--Statistics--Inferences and Sample Size--07

This is part of a collection of math clip art images that show different statistical graphs and concepts, along with some probability concepts.

Data Gathering
Math Clip Art--Statistics--Inferences and Sample Size, Image 8 Math Clip Art--Statistics--Inferences and Sample Size--08 Math Clip Art--Statistics--Inferences and Sample Size--08

This is part of a collection of math clip art images that show different statistical graphs and concepts, along with some probability concepts.

Data Gathering
Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 1 Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 1 Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 1

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for a probability distribution of a fair six-sided die. The probability of each outcome (1 to 6) is equally 1/6. The mean is calculated by multiplying each possible outcome by its probability and summing the results. For this fair die, the mean is determined to be 3.5.

Data Analysis
Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 2 Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 2 Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 2

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for a probability distribution of an unfair six-sided die. Unlike a fair die, the probabilities are not equally distributed, with a higher probability (2/6) for rolling a 1. The mean is calculated using the same method as before, resulting in approximately 2.83.

Data Analysis
Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 3 Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 3 Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 3

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for another unfair six-sided die. In this case, the probability of rolling a 1 is even higher (3/6), while some numbers have a probability of 0. The mean is calculated using the same method, resulting in 2.5.

Data Analysis
Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 4 Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 4 Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 4

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for an unfair six-sided die where the number 5 has a significantly higher probability (3/6) than other numbers. The mean is calculated using the same method as previous examples, resulting in 4.5.

Data Analysis
Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 5 Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 5 Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 5

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for the probability distribution of the sum when rolling two fair dice. There are 11 possible outcomes (2 to 12), each with its own probability. The mean is calculated using the same method as previous examples, resulting in 7.

Data Analysis
Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 6 Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 6 Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 6

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for the probability distribution of the number of heads when flipping three fair coins. The possible outcomes are 0, 1, 2, or 3 heads, each with its own probability. The mean is calculated using the same method as previous examples, resulting in 1.5.

Data Analysis
Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 7 Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 7 Math Example--Measures of Central Tendency--Mean of a Probability Distribution--Example 7

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for the probability distribution of the number of heads when flipping three coins, one of which is unfair. The possible outcomes are 0, 1, 2, or 3 heads, but the probabilities are skewed due to the unfair coin. The mean is calculated using the same method as previous examples, resulting in 1.9.

Data Analysis
Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 1 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 1 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 1

Topic

Measures of Central Tendency

Description

This math example demonstrates the calculation of the mean for a data set that includes negative numbers: 0, 8, 5, -5, 3, -8, 8, 4, 9, -4. The example emphasizes the step-by-step process of finding the mean, showing how to handle both positive and negative values in the calculation.

Data Analysis
Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 10 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 10 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 10

Topic

Measures of Central Tendency

Description

The image shows Example 10, demonstrating how to calculate the mean for a different set of numbers. This example illustrates finding the mean of the data set: -6, 5, -5, -5, -7, -7, -4, -1, 3. The calculation is presented step-by-step: Mean = Sum / Count. The sum of all numbers (-6 + 5 + (-5) + (-5) + (-7) + (-7) + (-4) + (-1) + 3) is divided by the count of numbers (10), resulting in -34 / 10 = -3.4.

Data Analysis
Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 2 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 2 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 2

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for a dataset containing both positive and negative numbers: 7, 4, 1, 1, -1, -2, 9, 4, -9, -4. The step-by-step process shows how to sum all values, including negative ones, and divide by the total number of data points to find the mean.

Data Analysis
Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 3 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 3 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 3

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for a dataset that includes negative numbers and zeros: 4, -1, 0, -2, -9, 0, -6, 5, 0, -1. The step-by-step process illustrates how to sum all values, including negatives and zeros, and divide by the total number of data points to determine the mean.

Data Analysis
Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 4 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 4 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 4

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for a dataset containing both positive and negative numbers: -3, 8, 2, 1, 3, -6, -9, 3, -4. The step-by-step process demonstrates how to sum all values, including negative ones, and divide by the total number of data points to find the mean.

Data Analysis
Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 5 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 5 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 5

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for a dataset that includes both positive and negative numbers: -1, 9, 3, 3, 6, -8, 8, 1, 4, 5. The step-by-step process shows how to sum all values, including negative ones, and divide by the total number of data points to determine the mean.

Data Analysis
Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 6 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 6 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 6

Topic

Measures of Central Tendency

Description

This example illustrates the calculation of the mean for a dataset containing both positive and negative numbers: -4, -5, 6, 2, 5, 7, 9, 9, -9, 5. The step-by-step process demonstrates how to sum all values, including negative ones, and divide by the total number of data points to find the mean.

Data Analysis
Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 7 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 7 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 7

Topic

Measures of Central Tendency

Description

This example demonstrates the calculation of the mean for a dataset that includes negative numbers and zero: -4, 0, 2, 9, -2, -3, -5, 10, -7, 5. The step-by-step process illustrates how to sum all values, including negatives and zero, and divide by the total number of data points to determine the mean.

Data Analysis
Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 8 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 8 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 8

Topic

Measures of Central Tendency

Description

This image shows a math example calculating the mean of a data set. The numbers are: 4, 8, -6, -6, 6, -3, 4, -8, -6, -8. The solution uses the mean formula. Example 8 demonstrates finding the mean of the data set. The mean is calculated by summing all numbers and dividing by the count of numbers, resulting in (-15) / (10) = -1.5.

Data Analysis
Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 9 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 9 Math Example--Measures of Central Tendency--Mean of Data That Includes Negative Numbers--Example 9

Topic

Measures of Central Tendency

Description

The image shows Example 9, illustrating how to find the mean of a data set using the mean formula. This example demonstrates finding the mean of the data set: -8, -9, 10, -2, 3, -2, -8, -3, 2, 5. The calculation is shown step-by-step: Mean = Sum / Count. The sum of all numbers (-8 + (-9) + 10 + (-2) + 3 + (-2) + (-8) + (-3) + 2 + 5) is divided by the count of numbers (10), resulting in -12 / 10 = -1.2.

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 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
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 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 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 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