Stats18 Essay Example | Topics and Well Written Essays - 1250 words

Stats18 - Essay Example dissolvent true(a) False examination 5 Measures of effect size, such as r2 or Cohens d, are non greatly influenced by audition size. dissolving agent True False Question 6 Measures of effect size, such as r2 or Cohens d, are not greatly influenced by test variance. Answer True False Question 7 Which of the following is a major difference between a hypothesis test with the t statistic formula and the test with a z-score? Answer a. You must calculate the exemplar variance (or standard deviation) for the t statistic but not for the z-score. b. You must know the population variance (or standard deviation) for the z-score but not for the t statistic. c. You use the unit normal table to find critical values for the z-score test but not for the t test. d. All of the opposite options are major differences. Question 8 If two samples are selected from the akin population, under what circumstances will the two samples have exactly the said(prenominal) t st atistic? Answer a. If the sample size ( n) is the same for both samples. b. If the samples are the same size and have the same mean. c. If the samples are the same size and have the same mean and have the same sample variance d. None of the other options are correct. Question 9 A sample of n = 4 scores has SS = 48. What is the variance for this sample? Answer a. 12 b. 16 c. 4 d. 2 Question 10 A sample of n = 9 scores has SS = 72. What is the estimated standard error for the sample mean? Answer a. 9 b. 3 c. 1 d. cannot answer with extinct knowing the sample mean Question 11 Which set of sample characteristics is most in all probability to produce a significant t statistic? Answer 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 Question 12 A sample of n = 4 scores has SS = 48. What is the estimated standard error for this samp le? Answer a. 12 b. 16 c. 4 d. 2 Question 13 When n is small (less than 30), the t distribution ____. Answer a. is near identical in shape to the normal z distribution b. is flatter and more spread out than the normal z distribution c. is taller and narrower than the normal z distribution d. cannot be specified, making hypothesis tests insufferable Question 14 With ? = .01, the two-tailed critical region for a sample of n = 20 subjects would have boundaries of ____. Answer a. t = 2.845 b. t = 2.528 c. t = 2.539 d. t = 2.861 Question 15 As sample size increases ____. Answer a. the value of df also increases b. the t distribution becomes more like a normal distribution c. the critical values of t become smaller d. All of the other options are true as sample size increases. Question 16 Two samples from the same population both have n = 10 scores with M = 45. If the t statistic is computed for each sample, then ____. Answer a. the two t statistics will be identical b. the sample with the bigger variance will produce the larger t statistic c. the sample with the smaller variance will produce the larger t statistic d. There is no way to predict the race between the two t statistics. Question 17 In a hypothesis test apply a t statistic, what is the influence of using a large sample? Answer a. A larger sample tends to lower the likelihood of rejecting the null hypothesis. b. A larger sample