PSYC1040 Hypothesis Testing

PSYC1040 Hypothesis Testing

University

8 Qs

quiz-placeholder

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PSYC1040 Hypothesis Testing

PSYC1040 Hypothesis Testing

Assessment

Quiz

Science

University

Practice Problem

Hard

Created by

Joshua Sabio

Used 6+ times

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8 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

With a significance level of .05, a significant result means that

one can be 95% sure that the null hypothesis is true

one can be 5% sure that the null hypothesis is true

one can be 95% sure that the alternative hypothesis is true

assuming the null hypothesis is true, the chance of getting the data is less than 5%

assuming the alternate hypothesis is true, the chance of getting the data is less than 5%

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A type I error occurs when the researcher:

rejects the null hypothesis when it is false

rejects the null hypothesis when it is true

accepts the null hypothesis when it is true

accepts the null hypothesis when it is false

obtains a non-significant result

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If the null hypothesis is true and the researcher declares their data to be not statistically significant, which of the following has occurred?

Type I error

Type II error

Correct decision

Type I and Type II error

None of the above

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In an experiment with a significance level set at 5% and assuming the null hypothesis is true, what is the probability of making a type I error?

.005

.05

.00

.95

.095

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If the null hypothesis is false, then:

the decision to reject the null hypothesis constitutes a Type-I error

the decision to reject the null hypothesis constitutes a Type-II error.

the decision to accept the null hypothesis constitutes a Type-I error.

the decision to accept the null hypothesis constitutes a Type-II error.

all of the above

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In hypothesis testing, if the null hypothesis is rejected, then this means that:

an alternative hypothesis is true.

the null hypothesis is true.

the null hypothesis is false.

the alternative hypothesis is true.

any one of the above could be correct.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

My population has a mean of 83 and a variance of 17. What can I conclude about my sample mean of 87, if N = 7?

Z = 2.56, reject the null hypothesis

Z = 0.97, retain the null hypothesis

Z = 2.56, retain the null hypothesis

Z = 0.97, reject the null hypothesis

Z = 1.51, retain the null hypothesis

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