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Question;1. If other factors are held constant, increasing the number;of scores in the sample will increase the likelihood of rejecting the null;hypothesis.;True;False;2. The distribution of t statistics tends to be flatter and;more spread out than a normal distribution.;True;False;3. In general, the larger the value of the estimated;standard error, the greater the likelihood of rejecting the null hypothesis.;True;False;4. The size of the estimated standard error, SM, is;partially determined by the size of the sample variance.;True;False;5. For a one-tailed test with a =.05 and a sample of n =;25, the critical value for the t statistic is t = 1.711;True;False;6. The general purpose for an interval estimate is to;determine whether or not a treatment has an effect.;True;False;7. If other factors are held constant, increasing the;percentage of confidence from 80% to 90% will increase the width of a confidence;interval.;True;False;8. In general, as sample size increases, the width of a;confidence interval also increases.;True;False;9. Point estimates of the population mean or mean difference;always use t = 0 in the estimation equation.;True;False;10. For an independent-measures study with M1 = 20, M2 = 16;and a pooled variance of 25, the estimated value for Cohen's d = 4/25;True;False;11. The F-max test is used to determine if the two;population means are equal.;True;False;12. For a two-tailed hypothesis with an independent-measures;t statistic using two samples, each with n = 10 scores, the boundaries for the;critical region using a =.05 are t = +/-2.101;True;False;13. If the two samples are the same size, then the pooled;variance will equal the average of the two sample variances.;True;False;14. Two samples, each with n = 4 scores, have a pooled;variance of 32. The estimated standard error for the sample mean difference is;16.;True;False;15. If two samples both have n = 5 and SS = 40, then the;pooled variance is 10.;True;False;16. Two samples, one with n = 6 and one with n = 8, are;being used to estimate the difference between two population means. The t;values for the 95% confidence interval are +/-2.160.;True;False;17. A repeated-measures study requires only 20 participants;to obtain 20 scores in each of the two treatment conditions that are being;compared.;True;False;18. Repeated-measures designs are particularly well-suited;to research questions concerning changes that occur over time.;True;False;19. In a repeated-measures study comparing two treatments;with a sample of n = 15 participants, the researcher measures two scores for;each individual to obtain a total of 30 scores. The repeated-measures;t-statistic for this study has df = 29.;True;False;20. A researcher reports df = 18 for a repeated-measures t;statistic. This research study used a total of n = 19 participants.;True;False;21. A set of n = 16 difference scores has a mean of MD = 4;and a variance of S^2 = 36. Cohen's d for this sample is d = 4/6.;True;False

 

Paper#60956 | Written in 18-Jul-2015

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