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Hypothesis Testing Concepts and Z Scores

Hypothesis Testing Concepts and Z Scores

Assessment

Interactive Video

Mathematics, Science, Other

9th - 12th Grade

Practice Problem

Hard

Created by

Patricia Brown

FREE Resource

The video tutorial explains the one sample Z test, a fundamental inferential statistics test. It covers the empirical rule and how it relates to the normal curve. An example is provided where a medication's effect on IQ is tested using a sample of 30 participants. The tutorial outlines six steps for conducting a Z test: defining hypotheses, stating the alpha level, decision rule, calculating the test statistic, stating results, and drawing conclusions. The example concludes with rejecting the null hypothesis, indicating the medication significantly affects intelligence.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What percentage of scores fall within one standard deviation of the mean in a normal distribution?

99.7%

50%

68%

95%

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the given example, what is the null hypothesis regarding the population mean IQ?

The mean IQ is 140.

The mean IQ is not 100.

The mean IQ is 115.

The mean IQ is 100.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the standard deviation of the population in the given example?

25

20

15

10

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the significance level (alpha) commonly used in hypothesis testing?

0.01

0.05

0.50

0.10

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a step in conducting a Z test?

Calculating the test statistic

Conducting a survey

Stating the decision rule

Defining the hypotheses

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of setting an alpha level in hypothesis testing?

To calculate the Z score

To control the probability of a Type I error

To determine the sample size

To define the null hypothesis

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a characteristic of a two-tailed test?

It only considers decreases in the mean.

It does not consider changes in the mean.

It only considers increases in the mean.

It considers both increases and decreases in the mean.

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