AThe sample mean does not occur very often by chance in the sampling distribution of means and probably did not come from the given population

BThe sample mean occurs very often by chance in the sampling distribution of means and probably did not come from the given population

CThe sample mean does not occur very often by chance in the sampling distribution of means but probably did come from the given population

DThe sample mean occurs very often by chance in the sampling distribution of means and probably did come from the given population

2What do we call that portion of the sampling distribution in which values are considered too unlikely to have occurred by chance?

ARegion of criterion value

BRegion of critical value

CRegion of rejection

DCritical value

3Suppose you take a piece of candy out of a jar, look to determine its color, then put it back into the jar before you randomly select the next piece of candyThis type of sampling is called

Aan independent event

Bsampling with replacement

Ca dependent event

Dsampling without replacement

4There are 26 red cards in a playing deck and 26 black cardsThe probability of randomly selecting a red card or a black card is 26/52 = 050Suppose you randomly select a card from the deck five times, each time replacing the card and reshuffling before the next pickEach of the five selections has resulted in a red cardOn the sixth turn, the probability of getting a black card

Ahas got to be low because you’ve gotten so many red cards on the previous turns

Bhas got to be high because you’ve gotten so many red cards on the previous turns

Cis the same as it has always been if the deck is a fair deck

Dneeds to be recomputed because you are sampling with replacement

5What can you conclude about a sample mean that falls within the region of rejection?

AThe sample probably represents some population other than the one on which the sampling distribution was based

BThe sample represents the population on which the sampling distribution was based

CAnother sample needs to be collected

DThe sample should have come from the given population

6What can we conclude when the absolute value of a z-score for a sample mean is larger than the critical value?

AThe random selection procedure was conducted improperly

BThe sample mean is reasonably likely to have come from the given population by random sampling

CThe sample mean represents the particular raw score population on which the sampling distribution is based

DThe sample mean does not represent the particular raw score population on which the sampling distribution is based

7When rolling a pair of fair dice, the probability of rolling a total point value of 7 is 017If you rolled a pair of dice 1,000 times and the point value of 7 appeared 723 times, what would you probably conclude?

AThis is not so unlikely as to make you doubt the fairness of the dice

BAlthough not impossible, this outcome is so unlikely that the fairness of these dice is questionable

CSince the total point value of 7 has the highest probability of any event in the sampling distribution, this is an extremely likely outcome

DIt is impossible for this to happen if the dice are fair

8 What is the appropriate outcome of a z-test?

AReject and accept

BReject and accept

CReject ; accept

DFail to reject ; accept

9The null hypothesis describes the

Asample statistic and the region of rejection

Bsample statistic if a relationship does not exist in the sample

Cpopulation parameters represented by the sample data if the predicted relationship exists

Dpopulation parameters represented by the sample data if the predicted relationship does not exist

10In a one-tailed test, is significant only if it lies

Anearer than and has a different sign from

Bin the tail of the distribution beyond and has a different sign from

Cnearer than and has the same sign as

Din the tail of the distribution beyond and has the same sign as

11The key difference between parametric and nonparametric procedures is that parametric procedures

Ado not require that stringent assumptions be met

Brequire that certain stringent assumptions be met

Care used for population distributions that are skewed

Dare used for population distributions that have nominal scores

12Which of the following accurately defines a Type I error?

ARejecting when is true

BRejecting when is false

CRetaining when is true

DRetaining when is false

13If and what is the value of

A258

B052

C258

D078

14What happens to the probability of committing a Type I error if the level of significance is changed froma=0.01 toa=0.05?

AThe probability of committing a Type I error will decrease

BThe probability of committing a Type I error will increase

CThe probability of committing a Type I error will remain the same

DThe change in probability will depend on your sample size

15Suppose you perform a on a correlation between the number of books read for enjoyment and the number of credit hours taken, using 32 participantsYour is 015, which is not a significant correlation coefficientWhich of the following is the correct way to report this finding?

Ar(32) = 015, p > 005

Br(31) = 015, p > 005

Cr(30) = 015, p < 005

Dr(30) = 015, p > 005

16Which of the following would increase the power of a significance test for correlation?

AChangingafrom 005 to 001

B. Increasing the variability in the Y scores

C. Changing the sample size from N = 25 to N = 100

D. Changing the sample size from N = 100 to N = 25

17If a sample mean has a value equal to , the corresponding value of t will be equal to

A+10

B00

C10

D+20

18What is ?

AThe estimated population standard deviation

BThe population standard deviation

CThe estimated standard error of the mean

DThe standard error of the mean

19In a for a correlation predicted to be positive, the null

hypothesis is ___________ and the alternative hypothesis is __________

A. Ho: 0; Ha: > 0

B. Ho: < 0; Ha: 0

C. Ho: = 0; Ha: > 0

D. Ho: < 0; Ha > 0

20How is the t-test for related samples performed?

ABy conducting a on the sample of difference scores

BBy conducting an on the sample of difference scores

CBy converting the scores to standard scores and then performing a related samples t-test

DBy measuring the population variance and testing it using an independent samples t-test

21What does the alternative hypothesis state in a two-tailed independent samples

experiment?

Ho: mu1-mu2=0

22One way to increase power is to maximize the difference produced by the two conditions in the experimentHow is this accomplished?

AChangeafrom 005 to 001

BChange the size of N from 100 to 25

CDesign and conduct the experiment so that all the subjects in a sample are treated in a consistent manner

DSelect two very different levels of the independent variable that are likely to produce a relatively large difference between the means

23Suppose you perform a two-tailed independent samples t-test, usinga= 005, with 15 participants in one group and 16 participants in the other groupYour is 456, which is significantWhich of the following is the correct way to report this finding?

At(31) = 456; p< 005

Bt(29) = 456; p < 005

Ct(29) = 456; p > 005

Dt(29) = 456; p = 005

24Suppose that you measure the IQ of 14 subjects with short index fingers and the IQ

of 14 subjects with long index fingersYou compute an independent samples t-test,

and the is 029, which is not statistically significantWhich of the following is the

most appropriate conclusion?

AThere is no relationship between length of index finger and IQ

BThere is a relationship between length of index finger and IQ

CThe relationship between length of index finger and IQ does not exist

DWe do not have convincing evidence that our measured relationship between length of index finger and IQ is due to anything other than sampling error

25The assumptions of the t-test for related samples are the same as those for the test for independent samples except for requiring

Athat the dependent variable be measured on an interval or ratio scale

Bthat the population represented by either sample form a normal distribution

Chomogeneity of variance

Dthat each score in one sample be paired with a particular score in the other sample

Use SPSS and the provided data set to answer the questions below:

26Test the age of the participants (AGE1) against the null hypothesis H 0 = 34Use a

one-sample t-testHow would you report the results?

At = -1862, df = 399, p >05

Bt = -1862, df = 399, p <05

Ct = 1645, df = 399, p >05

Dt = 1645, df = 399, p <05

27Test to see if there is a significant difference between the age of the participant and the age of the partnerUse a paired-sample t-test and an alpha level of 1%How would you interpret the results of this test?

AThe partners are significantly older than the participants

BThe partners are significantly younger than the participants

CThe age of the participants and partners are not significantly different

DSometimes the partners are older, sometimes the participants are older

28Look at the correlation between Risk-Taking (R) and Relationship Happiness (HAPPY)Use the standard alpha level of 5%How would you describe the relationship?

AThe relationship is non-significant

BThere is a significant negative relationship

CThere is a significant positive relationship

DThe correlation is zero

29If you randomly chose someone from this sample, what is the chance that they

described their relationship as either Happy or Very Happy?

A32%

B37%

C56%

D69%

30Perform independent sample t-tests on the Lifestyle, Dependency, and Risk-Taking

scores (L, D, and R) comparing men and women (GENDER1)Use p <05 as your

alpha levelOn each of the three scales, do men or women have a significantly

higher score?

ALifestyle: Men, Dependency: Women, Risk-Taking: Men

BLifestyle: Not significantly different, Dependency: Women, Risk-Taking: Men

CLifestyle: Women, Dependency: Women, Risk-Taking: Men

DLifestyle: Men, Dependency: Men, Risk-Taking: Not significantly different