Mean Absolute Deviation and Variability

Mean Absolute Deviation and Variability

Assessment

Interactive Video

Mathematics

6th - 7th Grade

Hard

Created by

Thomas White

FREE Resource

The video tutorial covers the concepts of mean and mean absolute deviation (MAD) to describe data distributions. It includes exercises on analyzing backpack weights and comparing temperature distributions across cities. The tutorial emphasizes understanding variability and using data to make informed decisions.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the mean absolute deviation (MAD) help describe in a data distribution?

The total sum of the data

The highest value in the data

The variability in the data

The average value of the data

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If all students have the same number of pets, what would the MAD be?

Greater than zero

Equal to the number of students

Zero

Equal to the mean

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does changing one student's backpack weight from 18 to 17 pounds affect the mean?

The mean stays the same

The mean becomes zero

The mean decreases

The mean increases

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens to the MAD when there is a change in one student's backpack weight?

It becomes zero

It remains unchanged

It decreases

It increases

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why might Robert choose San Francisco over New York based on temperature data?

San Francisco has less temperature variability

San Francisco has a higher mean temperature

New York has less temperature variability

New York has a lower mean temperature

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a higher MAD indicate about a city's temperature distribution?

The mean temperature is lower

The mean temperature is higher

The temperatures vary more

The temperatures are more consistent

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the temperature distribution of City B compare to City C?

Both cities have the same variability

City B has more variability

City B has a higher mean temperature

City C has more variability

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