Understanding Measures of Central Tendency

Understanding Measures of Central Tendency

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Hard

Created by

Ethan Morris

FREE Resource

The video tutorial covers data collection activities by student groups, focusing on different types of data such as heart rate, lung capacity, and reaction time. It introduces measures of central tendency, specifically mean, median, and mode, explaining how to calculate each and their respective advantages and disadvantages. The tutorial highlights the impact of outliers on the mean and demonstrates how the median is unaffected by them, providing a more stable measure in such cases.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the main question the class aimed to answer with their collected data?

How to improve lung capacity

Am I normal?

What is the average heart rate?

How many siblings do students have?

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the context of the lesson, what does 'Am I normal?' refer to?

A question about classroom activities

A question about statistical analysis

A question about data collection methods

A question about average behavior

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

Mean

Mode

Median

Range

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key advantage of using the mean?

It considers all data points

It is easy to calculate manually

It ignores outliers

It is always the most accurate

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why can the mean be misleading in some data sets?

It ignores the most common value

It can be skewed by outliers

It is difficult to calculate

It only considers the middle value

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens to the mean when a new data point is added?

It becomes the median

It remains the same

It decreases

It adjusts

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main advantage of the median over the mean?

It is always higher than the mean

It considers all data points

It is not affected by outliers

It is easier to calculate

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