Question 1

________ allows researchers to describe (1)how far mean scores have shifted in the population,or (2)the percentage of variance that can be explained by a given variable.

Accepted Answer

A)  significance
B)  probability
C)  power
D)  effect size D

Question 2

The value of power is influenced by the alpha level,sample size,and effect size.

Accepted Answer

A) True 
 B)False  True

Question 3

Is a one-sample z test reported differently for one-tailed and two-tailed tests?

Accepted Answer

A)  No,the same values are reported.
B)  It depends on whether the results were significant.
C)  Yes,only significant results for a two-tailed test are reported.
D)  It can be reported differently when the effect size is large. A

Question 4

The test statistic determines whether or not an effect exists in a population;effect size measures the size of an observed effect in a population.

Accepted Answer

A) True 
 B)False

Question 5

In Step 2 of hypothesis testing,researchers state a level of significance to minimize the probability of

Accepted Answer

A)  rejecting a true null hypothesis
B)  retaining a false null hypothesis
C)  inflating the power of a decision
D)  all of the above

Question 6

A Type III error is only possible for hypothesis tests where the rejection region is located in one tail.

Accepted Answer

A) True 
 B)False

Question 7

A large effect size means that Cohen's d is at least equal to .80.

Accepted Answer

A) True 
 B)False

Question 8

What is the typical level of significance for a hypothesis test in behavioral research?

Accepted Answer

A)  .05
B)  .10
C)  .001
D)  .50

Question 9

A researcher obtains z = 1.80 for a one-sample z test.What is the decision for this test at a .05 level of significance?

Accepted Answer

A)  to reject the null hypothesis
B)  to retain the null hypothesis
C)  It depends on whether the test is one-tailed or two-tailed.

Question 10

A researcher reports that the size of an effect in Population A is d = 0.10 and the effect size in Population B is d = 0.34.Which population is associated with greater power to detect an effect?

Accepted Answer

A)  Population A
B)  Population B
C)  They are associated with the same level of power.

Question 11

Based on the effect size conventions,d = 0.99 is a

Accepted Answer

A)  small effect size
B)  medium effect size
C)  large effect size

Question 12

Which of the following is not one of the four steps to hypothesis testing?

Accepted Answer

A)  state the hypotheses
B)  evaluate the plan
C)  set the criteria for a decision
D)  compute the test statistic

Question 13

Which of the following is a scenario in which increasing sample size will increase power

Accepted Answer

A)  When the effect size is small.
B)  When the effect size is large.
C)  When the probability of a Type I error is small.
D)  All of the above.

Question 14

The alpha level is basically the same thing as the p value.

Accepted Answer

A) True 
 B)False

Question 15

When a researcher decides to retain the null hypothesis because the rejection region was located in the wrong tail,this is called a

Accepted Answer

A)  Type I error
B)  Type II error
C)  Type III error
D)  correct decision

Question 16

Researchers directly control for the probability of committing a Type II error.

Accepted Answer

A) True 
 B)False

Question 17

The z statistic measures the size of an effect in some population.

Accepted Answer

A) True 
 B)False

Question 18

A researcher computes a z statistic and obtains z = 2.10.If this were a one-tailed (lower-tail critical)test,then the decision would be to reject the null hypothesis.

Accepted Answer

A) True 
 B)False

Question 19

Hypothesis testing is also called

Accepted Answer

A)  Type III error
B)  random testing
C)  effect size
D)  significance testing

Question 20

A null finding is a decision to retain a null hypothesis that is correct.

Accepted Answer

A) True 
 B)False

Exam 8: Testing Means: One-Sample T Test With Confidence Intervals

________ allows researchers to describe (1) how far mean scores have shifted in the population,or (2) the percentage of variance that can be explained by a given variable.

The value of power is influenced by the alpha level,sample size,and effect size.

Is a one-sample z test reported differently for one-tailed and two-tailed tests?

The test statistic determines whether or not an effect exists in a population;effect size measures the size of an observed effect in a population.

In Step 2 of hypothesis testing,researchers state a level of significance to minimize the probability of

A Type III error is only possible for hypothesis tests where the rejection region is located in one tail.

A large effect size means that Cohen's d is at least equal to .80.

What is the typical level of significance for a hypothesis test in behavioral research?

A researcher obtains z = 1.80 for a one-sample z test.What is the decision for this test at a .05 level of significance?

A researcher reports that the size of an effect in Population A is d = 0.10 and the effect size in Population B is d = 0.34.Which population is associated with greater power to detect an effect?

Based on the effect size conventions,d = 0.99 is a

Which of the following is not one of the four steps to hypothesis testing?

Which of the following is a scenario in which increasing sample size will increase power

The alpha level is basically the same thing as the p value.

When a researcher decides to retain the null hypothesis because the rejection region was located in the wrong tail,this is called a

Researchers directly control for the probability of committing a Type II error.

The z statistic measures the size of an effect in some population.

A researcher computes a z statistic and obtains z = 2.10.If this were a one-tailed (lower-tail critical)test,then the decision would be to reject the null hypothesis.

Hypothesis testing is also called

A null finding is a decision to retain a null hypothesis that is correct.