Question 1

You cannot commit a(n)____________________ error when the null hypothesis is false.

Accepted Answer

The answer of You cannot commit a(n)____________________ error when the...

Question 2

There is a direct relationship between the power of a test and the probability of a Type II error.

Accepted Answer

A) True 
 B)False

Question 3

If a researcher fails to reject a true null hypothesis,he has made a(n)____________________ decision.

Accepted Answer

The answer of If a researcher fails to reject a...

Question 4

A Type II error is committed if we make:

Accepted Answer

A)  a correct decision when the null hypothesis is false. 
B)  a correct decision when the null hypothesis is true. 
C)  an incorrect decision when the null hypothesis is false. 
D)  an incorrect decision when the null hypothesis is true. 
A)  a correct decision when the null hypothesis is false. 
B)  a correct decision when the null hypothesis is true. 
C)  an incorrect decision when the null hypothesis is false. 
D)  an incorrect decision when the null hypothesis is true.

Question 5

For a given sample size n,if the level of significance $\alpha$ is decreased,the power of the test will:

Accepted Answer

A)  increase. 
B)  decrease. 
C)  remain the same. 
D)  Not enough information to tell. 
A)  increase. 
B)  decrease. 
C)  remain the same. 
D)  Not enough information to tell.

Question 6

If your p-value is greater than 0.900 you should reject H0 at the 0.10 level.

Accepted Answer

A) True 
 B)False

Question 7

We have created a 95% confidence interval for $\mu$with the result (8,13).What conclusion will we make if we test H0: $\mu$= 15 vs.H1: $\mu$ $\neq$ 15 at $\alpha$ = 0.05?

Accepted Answer

A)  Reject H0 in favor of H1 
B)  Accept H0 in favor of H1 
C)  Fail to reject H0 in favor of H1 
D)  We cannot tell what our decision will be from the information given 
A)  Reject H0 in favor of H1 
B)  Accept H0 in favor of H1 
C)  Fail to reject H0 in favor of H1 
D)  We cannot tell what our decision will be from the information given

Question 8

If a null hypothesis is rejected at the 0.05 level of significance,it must be rejected at the 0.025 level.

Accepted Answer

A) True 
 B)False

Question 9

Production Filling
A production filling operation has a historical standard deviation of 6 ounces.When in proper adjustment,the mean filling weight for the production process is 50 ounces.A quality control inspector periodically selects at random 36 containers and uses the sample mean filling weight to see if the process is in proper adjustment.
-{Production Filling Narrative} Develop a 95% confidence interval and use it to test the hypothesis.

Accepted Answer

LCL = 46.64,and UCL = 50.56.Si

Question 10

The critical values will bound the rejection and non-rejection regions for the null hypothesis.

Accepted Answer

A) True 
 B)False

Question 11

The hypothesis of most interest to the researcher is:

Accepted Answer

A)  the alternative hypothesis. 
B)  the null hypothesis. 
C)  both hypotheses are of equal interest. 
D)  Neither hypothesis is of interest. 
A)  the alternative hypothesis. 
B)  the null hypothesis. 
C)  both hypotheses are of equal interest. 
D)  Neither hypothesis is of interest.

Question 12

The rejection region for testing H0: $\mu$ = 100 vs.H1: $\mu$ $\neq$ 100,at the 0.05 level of significance is:

Accepted Answer

A) | z | 1.96 C) z > 1.65 D) z < 2.33 A) | z | 1.96 C) z > 1.65 D) z < 2.33

Question 13

Toaster Oven
An appliance manufacturer claims to have developed a new toaster oven that consumes an average of no more than 250 W.From previous studies,it is believed that power consumption for toaster ovens is normally distributed with a standard deviation of 18 W.A consumer group suspects the actual average is more than 250 W.They take a sample of 20 toaster ovens and calculate the average consumption to be 260 W.
-{Toaster Oven Narrative} For a test with a level of significance of 0.05,determine the critical value.

Accepted Answer

The answer of Toaster Oven
An appliance manufacturer claims to have...

Question 14

A Type I error is committed if we make:

Accepted Answer

A)  a correct decision when the null hypothesis is false. 
B)  a correct decision when the null hypothesis is true. 
C)  an incorrect decision when the null hypothesis is false. 
D)  an incorrect decision when the null hypothesis is true. 
A)  a correct decision when the null hypothesis is false. 
B)  a correct decision when the null hypothesis is true. 
C)  an incorrect decision when the null hypothesis is false. 
D)  an incorrect decision when the null hypothesis is true.

Question 15

The rejection region for testing H0: $\mu$ = 80 vs.H1: $\mu$ $\lt$ 80,at the 0.10 level of significance is:

Accepted Answer

A) z > 1.96 B) z 1.28 D) z < -1.28 A) z > 1.96 B) z 1.28 D) z < -1.28

Question 16

If the conclusion of a hypothesis test is that a statistically significant result was found,then the null hypothesis ____________________ (was/was not)rejected.

Accepted Answer

The answer of If the conclusion of a hypothesis test...

Question 17

Explain the difference between accepting H0 and failing to reject H0.

Accepted Answer

The basis of making a decision in a hypo

Question 18

The critical values z $\alpha$  or z $\alpha$  / 2 are the boundary values for:

Accepted Answer

A)  the rejection region(s). 
B)  the level of significance. 
C)  Type I error. 
D)  Type II error. 
A)  the rejection region(s). 
B)  the level of significance. 
C)  Type I error. 
D)  Type II error.

Question 19

If a researcher rejects a false null hypothesis,she has made a(n)____________________ decision.

Accepted Answer

The answer of If a researcher rejects a false null...

Question 20

For a given level of significance $\alpha$,if the sample size n is increased,the probability of a Type II error $\beta$ will:

Accepted Answer

A)  decrease. 
B)  increase. 
C)  remain the same. 
D)  Not enough information to tell. 
A)  decrease. 
B)  increase. 
C)  remain the same. 
D)  Not enough information to tell.

Exam 11: Introduction to Hypothesis Testing

You cannot commit a(n)____________________ error when the null hypothesis is false.

There is a direct relationship between the power of a test and the probability of a Type II error.

If a researcher fails to reject a true null hypothesis,he has made a(n)____________________ decision.

A Type II error is committed if we make:

For a given sample size n,if the level of significance α\alphaα is decreased,the power of the test will:

If your p-value is greater than 0.900 you should reject H0 at the 0.10 level.

We have created a 95% confidence interval for μ\muμ with the result (8,13).What conclusion will we make if we test H0: μ\muμ = 15 vs.H1: μ\muμ ≠\neq= 15 at α\alphaα = 0.05?

If a null hypothesis is rejected at the 0.05 level of significance,it must be rejected at the 0.025 level.

The critical values will bound the rejection and non-rejection regions for the null hypothesis.

The hypothesis of most interest to the researcher is:

The rejection region for testing H0: μ\muμ = 100 vs.H1: μ\muμ ≠\neq= 100,at the 0.05 level of significance is:

A Type I error is committed if we make:

The rejection region for testing H0: μ\muμ = 80 vs.H1: μ\muμ <\lt< 80,at the 0.10 level of significance is:

If the conclusion of a hypothesis test is that a statistically significant result was found,then the null hypothesis ____________________ (was/was not)rejected.

Explain the difference between accepting H0 and failing to reject H0.

The critical values z α\alphaα or z α\alphaα / 2 are the boundary values for:

If a researcher rejects a false null hypothesis,she has made a(n)____________________ decision.

For a given level of significance α\alphaα ,if the sample size n is increased,the probability of a Type II error β\betaβ will:

What Is Statistics

Graphical Descriptive Techniques I

Graphical Descriptive Techniques II

A: Numerical Descriptive Techniques

B: Numerical Descriptive Techniques

C: Numerical Descriptive Techniques

Data Collection and Sampling

Probability

A: Random Variables and Discrete Probability Distributions

B: Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Introduction to Estimation

Inference About a Population

Inference About Comparing Two Populations

Analysis of Variance

Chi-Squared Tests

A: Simple Linear Regression and Correlation

B: Simple Linear Regression and Correlation

Multiple Regression

Model Building

Nonparametric Statistics

Time-Series Analysis and Forecasting

Statistical Process Control

Decision Analysis

Conclusion

Filters

For a given sample size n,if the level of significance $\alpha$ is decreased,the power of the test will:

If your p-value is greater than 0.900 you should reject H₀ at the 0.10 level.

We have created a 95% confidence interval for $\mu$ with the result (8,13).What conclusion will we make if we test H₀: $\mu$ = 15 vs.H₁: $\mu$ $\neq$ 15 at $\alpha$ = 0.05?

The rejection region for testing H₀: $\mu$ = 100 vs.H₁: $\mu$ $\neq$ 100,at the 0.05 level of significance is:

The rejection region for testing H₀: $\mu$ = 80 vs.H₁: $\mu$ $\lt$ 80,at the 0.10 level of significance is:

Explain the difference between accepting H₀ and failing to reject H₀.

The critical values z _$\alpha$ or z _$\alpha$ _{/ 2} are the boundary values for:

For a given level of significance $\alpha$ ,if the sample size n is increased,the probability of a Type II error $\beta$ will: