PSY 3600 TEST QUESTIONS AND ANSWERS RATED 100% ALREADY PASSED

PSY 3600 TEST QUESTIONS AND ANSWERS RATED 100% ALREADY PASSED Which set of characteristics will produce the smallest value for the estimated standard error? A. A large sample size and a small sample variance B. A large sample size and a large sample variance C. A small sample size and a small sample variance D. A small sample size and a large sample variance - Answers A. A large sample size and a small sample variance What is the expected value of M? A. It is the sample mean. B. It is the sample standard deviation. C. It is the mean of the distribution of sample means. D. It is the standard deviation of the distribution of sample means. - Answers C. It is the mean of the distribution of sample means. What additional information is obtained by measuring two individuals on an interval scale compared to a ordinal scale? A. Whether the measurements are the same or different B. The direction of the difference C. The size of the difference D. None of the other options is correct - Answers C. The size of the difference A characteristic, usually a numerical value, which describes a sample is called a _______. A. parameter B. statistic C. variable D. constant - Answers B. statistic Compared to an independent-measures design, a repeated-measured study is more likely to find a significant effect because it reduces the contribution of variance due to ______. A. time-related factors B. order effects C. the effect of the treatment D. individual differences - Answers D. individual differences If two samples are selected from the same population, under what circumstances will the two samples have exactly the same t statistic? A. If the samples are the same size and have the same variance B. If the samples are the same size and have the same mean C. If the samples have the same mean and the same variance D. If the samples are the same size and have the same mean and the same variance - Answers D. If the samples are the same size and have the same mean and the same variance What is the consequence of a Type I error? A. Concluding that a treatment has an effect when it really does B. Concluding that a treatment has no effect when it really has no effect C. Concluding that a treatment has no effect when it really does D. Concluding that a treatment has an effect when it really has no effect - Answers D. Concluding that a treatment has an effect when it really has no effect A researcher is using a repeated-measures study to evaluate the difference between two treatments. If the difference between the treatments is consistent from one participant to another, then the data should produce ______. A. a small variance for the difference scores and a small standard error B. a small variance for the difference scores and a large standard error C. a large variance for the difference scores and a small standard error D. a large variance for the difference scores and a large standard error - Answers A. a small variance for the difference scores and a small standard error A researcher uses a repeated-measures design to compare individuals performance before treatment with their performance after treatment. If all of the participants show improved performance of 8 or 9 points after treatment, what should the researcher find? A. The sample mean difference is near zero. B. The t statistic is near zero. C. The variance of the difference scores is near zero. D. None of the other options is correct. - Answers A. The sample mean difference is near zero. Which of the following describes the effect of increasing sample size? A. Measures of effect size and the likelihood of rejecting the null hypothesis both increase. B. Measure of effect size increase, but the likelihood of rejecting the null hypothesis decreases. C. There is little or no effect on measures of effect size, but the likelihood of rejecting the null hypothesis increases. D. There is little or no effect on measures of effect size, but the likelihood of rejecting the null hypothesis decreases. - Answers C. There is little or no effect on measures of effect size, but the likelihood of rejecting the null hypothesis increases. Which combination of factors is most likely to produce a significant value for an independent-measures t statistic? A. Large samples and large variance B. Large samples and small variance C. Small samples and large variance D. Small samples and small variance - Answers B. Large samples and small variance Which of the following describes the effect of an increase in the variance of the difference scores? A. Measures of effect size and the likelihood of rejecting the null hypothesis both decrease. B. Measure of effect size increase, but the likelihood of rejecting the null hypothesis decreases. C. There is little or no effect on measures of effect size, but the likelihood of rejecting the null hypothesis increases. D. There is little or no effect on measures of effect size, but the likelihood of rejecting the null hypothesis decreases. - Answers A. Measures of effect size and the likelihood of rejecting the null hypothesis both decrease. Which of the following describes what a confidence interval does? A. It uses a sample mean to estimate the corresponding population mean. B. It uses a population mean to predict a sample mean. C. It uses a level of confidence to estimate a sample mean.