Calculating Areas with Z-Scores and Standard Normal Distribution

Calculating Areas with Z-Scores and Standard Normal Distribution

Assessment

Interactive Video

Mathematics

6th - 10th Grade

Hard

Created by

Ethan Morris

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the mean and standard deviation of the standard normal distribution?

Mean of 0 and standard deviation of 0

Mean of 1 and standard deviation of 0

Mean of 0 and standard deviation of 1

Mean of 1 and standard deviation of 1

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A z-score of -2 indicates that the observation is how many standard deviations from the mean?

1 standard deviation to the right

2 standard deviations to the left

1 standard deviation to the left

2 standard deviations to the right

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the z-score table provide?

The total area to the right of any z-score

The total area to the left of any z-score

The total area under the curve

The total area above the curve

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you find the area to the right of a z-score using the z-score table?

Multiply the area to the left by 2

Divide the area to the left by 2

Subtract the area to the left from 1

Add 1 to the area to the left

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the area to the left of a z-score of 0.57 according to the z-score table?

0.4285

0.5715

0.2843

0.7157

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you use the z-score table to find the z-score for a specific area?

Look up the area in the table and find the corresponding z-score

Divide the area by the standard deviation

Multiply the area by the mean

Subtract the area from 1

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the benefit of standardization?

It allows the use of the z-score table for any normal distribution

It eliminates the need for a z-score table

It changes the mean and standard deviation of the distribution

It makes the distribution skewed

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