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Understanding Normal Distribution and Z-Scores

Understanding Normal Distribution and Z-Scores

Assessment

Interactive Video

Mathematics, Science, Computers

9th - 12th Grade

Practice Problem

Hard

Created by

Amelia Wright

FREE Resource

This video tutorial explains how to use a free online graphing calculator to determine normal distribution probabilities. It covers the concept of z-scores and the standard normal distribution, demonstrating how to calculate probabilities for different z-score intervals using the calculator's normal CDF function. The tutorial includes step-by-step examples and provides guidance on using the calculator's function reference.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a z-score in the context of a normal distribution?

A measure of data variability

A measure of central tendency

A number of standard deviations a data value is from the mean

A type of probability distribution

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the mean and standard deviation of a standard normal distribution?

Mean of 1 and standard deviation of 0

Mean of 1 and standard deviation of 1

Mean of 0 and standard deviation of 1

Mean of 0 and standard deviation of 0

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which function is used in the calculator to determine normal distribution probabilities?

normal CDF

normal PDF

normal SDF

normal IDF

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When calculating the probability that Z is greater than 0.2, what is the exaggerated upper bound used?

1000

99999

9999

100000

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the approximate probability that Z is greater than 0.2?

0.136

0.421

0.500

0.896

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

For finding the probability that Z is less than -1.1, what is the exaggerated lower bound used?

-9999

-99999

-100000

-1000

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the approximate probability that Z is less than -1.1?

0.421

0.136

0.896

0.500

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