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**PSY 87540 Midterm III**

- From Psychology, General Psychology

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**PSY 87540 Midterm III**

**1****.**** Suppose you drew a random sample from a population where the mean is 100****.**** The standard error of the sampling distribution is 10****.**** The mean for your sample is 80****.**** What could you conclude about your sample?A**

**.**

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

**.**

**B**

**.**

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

**.**

**C**

**.**

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

**.**

**D**

**.**

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

**.**

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

**.**

**Region of criterion value**

B

B

**.**

**Region of critical value**

C

C

**.**

**Region of rejection**

D

D

**.**

**Critical value**

**3****.**** Suppose 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 candy****.**** This type of sampling is calledA**

**.**

**an independent event**

**.**

**B**

**.**

**sampling with replacement**

**.**

**C**

**.**

**a dependent event**

**.**

**D**

**.**

**sampling without replacement**

**.**

**4****.**** There are 26 red cards in a playing deck and 26 black cards****.**** The probability of randomly selecting a red card or a black card is 26/52 = 0****.****50****.**** Suppose you randomly select a card from the deck five times, each time replacing the card and reshuffling before the next pick****.**** Each of the five selections has resulted in a red card****.**** On the sixth turn, the probability of getting a black cardA**

**.**

**has got to be low because you've gotten so many red cards on the previous turns**

**.**

**B**

**.**

**has got to be high because you've gotten so many red cards on the previous turns**

**.**

**C**

**.**

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

**.**

**D**

**.**

**needs to be recomputed because you are sampling with replacement**

**.**

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

**.**

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

**.**

**B**

**.**

**The sample represents the population on which the sampling distribution was based**

**.**

**C**

**.**

**Another sample needs to be collected**

**.**

**D**

**.**

**The sample should have come from the given population**

**.**

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

**.**

**The random selection procedure was conducted improperly**

**.**

**B**

**.**

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

**.**

**C**

**.**

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

**.**

**D**

**.**

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

**.**

**7****.**** When rolling a pair of fair dice, the probability of rolling a total point value of “7” is 0****.****17****.**** If you rolled a pair of dice 1,000 times and the point value of “7” appeared 723 times, what would you probably conclude?**

**A****.**** This is not so unlikely as to make you doubt the fairness of the dice****.****B****.**** Although not impossible, this outcome is so unlikely that the fairness of these dice is questionable****.****C****.**** Since the total point value of “7” has the highest probability of any event in the sampling distribution, this is an extremely likely outcome****.****D****.**** It is impossible for this to happen if the dice are fair****.**** **

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

**.**

**Reject and accept**

B

B

**.**

**Reject and accept**

C

C

**.**

**Reject ; accept**

D

D

**.**

**Fail to reject ; accept**

**9****.**** The null hypothesis describes theA**

**.**

**sample statistic and the region of rejection**

**.**

**B**

**.**

**sample statistic if a relationship does not exist in the sample**

**.**

**C**

**.**

**population parameters represented by the sample data if the predicted relationship exists**

**.**

**D**

**.**

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

**.**

**10****.**** In a one-tailed test, is significant only if it liesA**

**.**

**nearer µ than and has a different sign from**

B

B

**.**

**in the tail of the distribution beyond and has a different sign from**

C

C

**.**

**nearer µ than and has the same sign as**

D

D

**.**

**in the tail of the distribution beyond and has the same sign as**

**11****.**** The key difference between parametric and nonparametric procedures is that parametric proceduresA**

**.**

**do not require that stringent assumptions be met**

**.**

**B****.**** require that certain stringent assumptions be met****.****C****.**** are used for population distributions that are skewed****.****D****.**** are used for population distributions that have nominal scores****.**** **

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

**.**

**Rejecting when is true**

B

B

**.**

**Rejecting when is false**

C

C

**.**

**Retaining when is true**

D

D

**.**

**Retaining when is false**

**13****.**** If and what is the value ofA**

**.**

**2**

**.**

**58**

B

B

**.**

**0**

**.**

**52**

C

C

**.**

**–2**

**.**

**58**

D

D

**.**

**0**

**.**

**78**

**14****.**** What happens to the probability of committing a Type I error if the level of significance is changed from a=0.01 to a=0.05?A**

**.**

**The probability of committing a Type I error will decrease**

**.**

**B**

**.**

**The probability of committing a Type I error will increase**

**.**

**C**

**.**

**The probability of committing a Type I error will remain the same**

**.**

**D**

**.**

**The change in probability will depend on your sample size**

**.**

**15****.**** Suppose you perform a two-tailed significance test on a correlation between the number of books read for enjoyment and the number of credit hours taken, using 32 participants****.**** Your is –0****.****15, which is not a significant correlation coefficient****.**** Which of the following is the correct way to report this finding?A**

**.**

**r(32) = –0**

**.**

**15, p > 0**

**.**

**05**

B

B

**.**

**r(31) = –0**

**.**

**15, p > 0**

**.**

**05**

C

C

**.**

**r(30) = –0**

**.**

**15, p < 0**

**.**

**05**

D

D

**.**

**r(30) = –0**

**.**

**15, p > 0**

**.**

**05**

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

**.**

**Changing a from 0**

**.**

**05 to 0**

**.**

**01**

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

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

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

**.**

**+1**

**.**

**0**

**.**

**B**

**.**

**0**

**.**

**0**

**.**

**C**

**.**

**–1**

**.**

**0**

**.**

**D**

**.**

**+2**

**.**

**0**

**.**

**18****.**** What is ?A**

**.**

**The estimated population standard deviation**

B

B

**.**

**The population standard deviation**

C

C

**.**

**The estimated standard error of the mean**

D

D

**.**

**The standard error of the mean**

** **

**19****.**** In a one-tailed significance test for a correlation predicted to be positive, the nullhypothesis is ___________ and the alternative hypothesis is __________**

**.**

**A. Ho: ρ ≤ 0; Ha: ρ > 0**

B. Ho: ρ < 0; Ha: ρ ≥ 0

C. Ho: ρ = 0; Ha: ρ > 0

D. Ho: ρ < 0; Ha ρ > 0

B. Ho: ρ < 0; Ha: ρ ≥ 0

C. Ho: ρ = 0; Ha: ρ > 0

D. Ho: ρ < 0; Ha ρ > 0

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

**.**

**By conducting a one-sample t-test on the sample of difference scores**

B

B

**.**

**By conducting an independent samples t-test on the sample of difference scores**

C

C

**.**

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

D

D

**.**

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

**21****.**** What does the alternative hypothesis state in a two-tailed independent samplesexperiment?**

**Ho: mu1-mu2=022**

**.**

**One way to increase power is to maximize the difference produced by the two conditions in the experiment**

**.**

**How is this accomplished?**

A

A

**.**

**Change a from 0**

**.**

**05 to 0**

**.**

**01**

**.**

**B**

**.**

**Change the size of N from 100 to 25**

**.**

**C**

**.**

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

**.**

**D**

**.**

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

**.**

**23****.**** Suppose you perform a two-tailed independent samples t-test, using a = 0****.****05, with 15 participants in one group and 16 participants in the other group****.**** Your is 4****.****56, which is significant****.**** Which of the following is the correct way to report this finding?A**

**.**

**t(31) = 4**

**.**

**56; p< 0**

**.**

**05**

B

B

**.**

**t(29) = 4**

**.**

**56; p < 0**

**.**

**05**

C

C

**.**

**t(29) = 4**

**.**

**56; p > 0**

**.**

**05**

D

D

**.**

**t(29) = 4**

**.**

**56; p = 0**

**.**

**05**

**24****.**** Suppose that you measure the IQ of 14 subjects with short index fingers and the IQof 14 subjects with long index fingers**

**.**

**You compute an independent samples t-test,**

and the is 0

and the is 0

**.**

**29, which is not statistically significant**

**.**

**Which of the following is the**

most appropriate conclusion?

A

most appropriate conclusion?

A

**.**

**There is no relationship between length of index finger and IQ**

**.**

**B**

**.**

**There is a relationship between length of index finger and IQ**

**.**

**C**

**.**

**The relationship between length of index finger and IQ does not exist**

**.**

**D**

**.**

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

**.**

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

**.**

**that the dependent variable be measured on an interval or ratio scale**

**.**

**B**

**.**

**that the population represented by either sample form a normal distribution**

**.**

**C**

**.**

**homogeneity of variance**

**.**

**D**

**.**

**that 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:26**

**.**

**Test the age of the participants (AGE1) against the null hypothesis H 0 = 34**

**.**

**Use a**

one-sample t-test

one-sample t-test

**.**

**How would you report the results?**

A

A

**.**

**t = -1**

**.**

**862, df = 399, p >**

**.**

**05**

B

B

**.**

**t = -1**

**.**

**862, df = 399, p <**

**.**

**05**

C

C

**.**

**t = 1**

**.**

**645, df = 399, p >**

**.**

**05**

D

D

**.**

**t = 1**

**.**

**645, df = 399, p <**

**.**

**05**

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

**.**

**The partners are significantly older than the participants**

**.**

**B**

**.**

**The partners are significantly younger than the participants**

C

C

**.**

**The age of the participants and partners are not significantly different**

**.**

**D**

**.**

**Sometimes the partners are older, sometimes the participants are older**

**.**

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

**.**

**The relationship is non-significant**

**.**

**B**

**.**

**There is a significant negative relationship**

**.**

**C**

**.**

**There is a significant positive relationship**

**.**

**D**

**.**

**The correlation is zero**

**.**

**29****.**** If you randomly chose someone from this sample, what is the chance that theydescribed their relationship as either Happy or Very Happy?A**

**.**

**32%**

B

B

**.**

**37%**

C

C

**.**

**56%**

D

D

**.**

**69%**

**30****.**** Perform independent sample t-tests on the Lifestyle, Dependency, and Risk-Takingscores (L, D, and R) comparing men and women (GENDER1)**

**.**

**Use p <**

**.****05 as your**

alpha level

alpha level

**.**

**On each of the three scales, do men or women have a significantly**

higher score?

A

higher score?

A

**.**

**Lifestyle: Men, Dependency: Women, Risk-Taking: Men**

**.**

**B**

**.**

**Lifestyle: Not significantly different, Dependency: Women, Risk-Taking: Men**

C

C

**.**

**Lifestyle: Women, Dependency: Women, Risk-Taking: Men**

D

D

**.**

**Lifestyle: Men, Dependency: Men, Risk-Taking: Not significantly different**

** **

**PSY 87540 Midterm III**

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- Submitted On 02 Aug, 2018 11:10:41

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