Exploring Mean Absolute Deviation Concepts

Exploring Mean Absolute Deviation Concepts

Assessment

Interactive Video

Mathematics

6th - 8th Grade

Hard

Created by

Olivia Brooks

Used 1+ times

FREE Resource

The video tutorial explains Mean Absolute Deviation (MAD), a measure of data variability. It outlines the three-step process to calculate MAD: finding the mean, determining absolute deviations, and averaging these deviations. The tutorial uses a practical example of test scores to illustrate how MAD can reveal differences in data spread, even when means are identical. This highlights MAD's role in understanding data variability and its practical applications in comparing datasets.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does MAD stand for in statistical terms?

Mean Aligned Deviation

Mode Absolute Difference

Median Aligned Data

Mean Absolute Deviation

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in calculating the mean absolute deviation?

Find the dataset's median

Divide by the number of values

Sum all the values

Calculate the range of the data

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the mean of the dataset if the sum of five values is 40?

5

8

10

20

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you find the absolute deviation of a value in a dataset?

Subtract the mean from the value

Add the value to the mean

Divide the value by the mean

Multiply the value by the mean

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If the absolute deviations are 3, 2, 4, 4, and 1, what is the next step to find MAD?

Sum these deviations

Find the median of these deviations

None of the above

Multiply these deviations

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a smaller MAD indicate about a dataset?

The values are closely packed around the mean

The mean of the dataset is zero

The dataset contains no outliers

The values are widely spread from the mean

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What final value do you get when you divide the sum of absolute deviations by the number of values?

3.0

2.8

2.5

2.0

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