Mean and Variability in Data

Mean and Variability in Data

Assessment

Interactive Video

Mathematics

6th - 7th Grade

Hard

Created by

Thomas White

FREE Resource

In this lesson, Mrs. Ney explains the concept of the mean as a balance point using a dot plot and rock stacking analogy. The lesson covers how to calculate the mean, compare data sets, and understand variability. Students learn to identify the mean as a measure of center and explore its application in real-world scenarios, such as comparing travel times. The lesson concludes with a summary and a cool down exercise.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main concept introduced in the lesson using a rock stacking analogy?

The concept of median

The concept of range

The concept of mean as a balance point

The concept of mode

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a dot plot, how is the mean typically represented?

With a square

With a triangle

With a star

With a circle

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is the mean considered a balance point in a data set?

It is the highest value

It is the lowest value

It balances the distances of data points on either side

It is the most frequently occurring value

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens when you try to use a point other than the mean as a balance point?

The sums of distances on either side are not equal

The data set becomes symmetrical

The sums of distances on either side are equal

The point becomes the new mean

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Between Diego and Andre, who has a larger mean travel time?

Diego

Andre

Both have the same mean

Neither has a mean

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a larger mean travel time indicate about Andre's travel?

He travels the same speed as Diego

He travels slower

He travels less frequently

He travels faster

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does Lin's variability in travel time compare to Andre's?

Lin has more variability

Lin has less variability

Lin and Andre have the same variability

Lin's variability cannot be determined

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