Measures of Central Tendency and Dispersion

Measures of Central Tendency and Dispersion

Assessment

Interactive Video

Mathematics, Science, Other

6th - 8th Grade

Hard

Created by

Patricia Brown

FREE Resource

The video tutorial explains measures of central tendency, including mean, median, and mode. It provides examples of calculating the mean using test scores and discusses the median's resistance to outliers. The mode is explained with examples of uni-modal, bi-modal, and multi-modal data sets. The tutorial concludes by comparing measures of central tendency with measures of dispersion, highlighting how they describe data centrality and spread.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a measure of central tendency?

Range

Mode

Median

Mean

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the arithmetic mean calculated?

By subtracting the smallest value from the largest value

By finding the middle value in a data set

By summing all observations and dividing by the number of observations

By identifying the most frequently occurring value

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the mean test score of the students with scores 85, 90, 78, 92, and 88?

87.0

88.2

86.6

85.4

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens to the median if there is an even number of data points?

It is the smallest value

It remains the same as the mean

It is the average of the two middle values

It is the largest value

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is the median considered resistant to outliers?

Because it is calculated using all data points

Because it is the most frequently occurring value

Because it is not affected by extreme values

Because it is always the average of all values

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the mode of the data set: 2, 3, 4, 4, 5, 6, 7?

5

4

3

2

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If a data set has two modes, what is it called?

Multimodal

Unimodal

Bimodal

Non-modal

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