Significance Tests and Decision Making

Significance Tests and Decision Making

12th Grade

20 Qs

quiz-placeholder

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Significance Tests and Decision Making

Significance Tests and Decision Making

Assessment

Quiz

Mathematics

12th Grade

Hard

Created by

Anthony Clark

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the purpose of hypothesis testing in statistics?

To prove that a hypothesis is true beyond any doubt

To make decisions based on data from a sample

To calculate the mean of a dataset

To graphically represent data

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

In hypothesis testing, what is the significance level (alpha) typically used?

0.1

0.05

0.5

1.0

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

How can the risk of committing a Type I error be reduced?

Increase the significance level (alpha)

Decrease the significance level (alpha)

Increase the sample size

Decrease the sample size

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A procedure using a sample statistic to make a decision about the validity of a claim.

Significance Level

Significance Test

Confidence Interval

Confidence Level

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

When conducting a significance test for the difference in proportions, why do we pool the data when finding standard error?

Because we like to swim

Because we assume p1 = p2 in Ho

Because the sample sizes are always equal

To be safe and make sure we don't underestimate the standard error

Because we don't the standard deviation.

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A level of significance of 5% means:

There's a 5% chance we're wrong

There's a 5% chance we'll be wrong if we fail to reject the null hypothesis

There's a 5% chance we'll be wrong if we reject the null hypothesis.

There's a 5% chance you're right

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

In hypothesis testing, if the p-value is greater than the significance level (alpha), what is the appropriate decision?

Reject the null hypothesis.

Provide evidence for the alternative hypothesis.

Fail to reject the null hypothesis.

Increase the sample size and retest.

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