Comparing Data Sets and Measures

Comparing Data Sets and Measures

Assessment

Interactive Video

Mathematics

7th - 10th Grade

Hard

Created by

Thomas White

FREE Resource

This lesson covers comparing populations using samples, focusing on mean and mean absolute deviation (MAD). Activities include analyzing data sets for mean and MAD, comparing backpack weights of different grades, and examining carbon content in steel artifacts. The lesson emphasizes understanding data overlap and meaningful differences in data sets.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary focus when comparing two data sets using samples?

Determining the mean and MAD

Identifying the mode

Finding the median

Calculating the range

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the significance of the mean absolute deviation (MAD) in comparing data sets?

It determines the mode

It shows the highest value

It indicates the spread of data around the mean

It measures the central tendency

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the backpack weight comparison, what indicates a meaningful difference between the two grades?

A small overlap in data

A large overlap in data

Identical means

Identical MADs

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the difference between sample means expressed in the random samples analysis?

As a sum

As a percentage

As a fraction

As a multiple of the MAD

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why might a single sample not provide an accurate estimate of a population mean?

It is too small

It is always accurate

It is too large

It may not be representative

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a lack of overlap in box plots suggest about the data sets?

They have the same range

They are identical

They have a meaningful difference

They have the same median

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a significant difference in means suggest about two populations?

They have the same median

They have the same variance

They have a meaningful difference

They are identical

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