Measures of Central Tendency and Spread

Measures of Central Tendency and Spread

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Hard

Created by

Amelia Wright

FREE Resource

The video tutorial introduces three data sets with identical means but different distributions. It explains the limitations of using mean as a sole measure of central tendency and introduces median and mode as additional measures. The concept of range is discussed, highlighting its susceptibility to outliers. To address this, the interquartile range is introduced, which divides data into quartiles, providing a more robust measure of data spread.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the mean of the three data sets introduced by the teacher?

11

7

9

5

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which measure of central tendency is described as the most common score in a data set?

Range

Mode

Median

Mean

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary limitation of using the mean as a measure of central tendency?

It is difficult to calculate

It is affected by outliers

It does not consider all data points

It is not a numerical value

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the range of a data set calculated?

Average of all scores

Difference between highest and lowest scores

Sum of all scores

Product of all scores

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is the range considered a measure of spread?

It divides data into quartiles

It shows the average score

It indicates the most common score

It reflects how spread out the data is

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a major drawback of using range as a measure of spread?

It is difficult to calculate

It is affected by outliers

It only considers the middle values

It is not affected by outliers

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the interquartile range (IQR) measure?

The average of all data points

The most common score

The spread of the middle 50% of data

The difference between the highest and lowest scores

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