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25. On the two SPSS outputs shown below, with a = 01. you should conclude.. Reject Ho for the One-Sample t-test, Reject Ho for the Related Samples t-test b. Reject Ho for the One-Sample t-test, FTR Ho for the Related Samples t-test FTR Ho for the One-Sample t-test, Reject H, for the Related-Samples t-test d FTR Ho for the One-Sample t-test, FTR Ho for the Related Samples t-test C. One-Sample T-Test One Sample Statistics N Mean 525556 Sid. Deviation 2.65100 Sidor Mean 88357 VARO0003 9 One Sample Test Test Value 50 95% Confidence interval of the Diference Lower UDDE 5170 45933 1 Mean Difference 2.55556 Sig (2- VAR00003 2892 020 Related-Samples T-Test Pared Sample Test Patres Drones 95% confidence of the Sd Em Die en LOW TUDOS 1.00123 -029689 56355 Man 266667 318 i 441210 sig at 001 2035 5 Part Bupre. A 26. If the treatment actually does work in the population, but based on looking at a sample, you conclude that the treatment doesn't work, what has occurred? a. You have made a type I error b. You have made a type Il error c. You have made the correct decision d. Need more information to answer 27. Which one is equal to the probability of making a type I error on a hypothesis test? a. D-value ba CB d. Cohen's d 28. Maria is testing an antidepressant therapy treatment. She does a t-test and rejects Ho. Then she calculates an r' and finds that it is large (r=0.9). From these two things, what can Marla conclude about the antidepressant therapy treatment? a. it works, and it has a big effect b. it doesn't work, and it has a big effect it works, and it has a small effect d. It might work, but it is more likely to just be sampling error C
he 2. which hypothesis test has the greatest power? 2. t-test with a 90% chance of rejecting Ho Chi-square with a 60% chance of rejecting He CANOVA with a 80% chance of failing to reject He d. z-test with a 95% chance of failing to reject He 30. Which hypothesis test has the greatest power? a 0.9 & n = 30 b. p=0.9 & n = 300 c. p=0.5 & n = 30 d. p=0.5& n = 300 31. In a normal distribution, what 2-score cuts off the bottom 15% of the distribution? a. 20.91 b. Z=-0.91 C2=0.43 d. Z=-0,43 32. In a normal distribution, what a score cuts off the top 65% of the distribution? a2 = 0.7422 b2=0.2578 C2=0.39 d 2-0.39 33. For a normal distribution with a mean of = 80 and a standard deviation of 10, what is plX95)? ap 0986 b. D=4332 C D = 0668 d P=.9332 34. For a normal distribution with a mean of g = 100 and a standard deviation of c=10, what is (x>927? a P=7881 b. p = 6954 CD = 2119 dD2881 35. For a normal distribution with a mean of u 10 and a standard deviation of a 2, what is p(5<<<15)? a D = .0062 bD+9876 p=4938 d D-9938 36. Which APA sentence below is formatted correctly with no mistakes? at(25) -3.54, P < 01, 0-0.84 b. t30) - 256, d. 1.23, p > 01 (8128) - 7.0, p=a, tobt -4.25 d. 10), tont>5.3. p <a
37. You want to test whether a blood pressure medication actually works. You give it to a sample of n = 30 patients. From looking it up in the medical research, you know that the general population has average systolic blood pressure of us = 120 mm Hg. What kind of hypothesis test should you do? a. One-Sample z-test b. One-Sample t-test C. Independent Samples t-test d. Related Samples t-test 38. You want to see if violent videos games have any effect on aggression for middle school boys. So, you get a sample of 30 middle school boys. In Week 1 of the study, you have all 30 boys play a violent video game (for this problem let's ignore the potential ethical problems of assigning young kids to play violent games). In Week 2 of the study, you have the boys play a nonviolent game. On both weeks of the study, immediately after they finish playing the video game, you watch them on the playground and you measure their aggression. When it comes to doing your data analysis, you want to compare the aggression of the children on Week 1 (violent video game) to their aggression on Week 2 (nonviolent game). What kind of hypothesis test do you think would be appropriate for this study? a. One-Sample 2-test b. One-Sample t-test c. Independent Samples t-test d. Related Samples t-test 39. You want to study whether music affects people's ability to learn. You have 10 college students study a list of words with soft classical music playing, then you test how many words they correctly remember. You have 15 different college students study a list of words with loud heavy metal playing, then you test how many words they correctly remember You want to compare the learning/memory of the two different groups. What kind of hypothesis test should you do? a. One-Sample 2-test b. One-Sample t-test Independent Samples t-test d. Related Samples t-test 40. You put n = 20 rats in a cage that is in a room with a 65-degree temperature. You put n = 24 rats in a cage with a 70- degree temperature. You put n 18 rats in a cage with a 75-degree temperature. For each group of rats you measure how many minutes of each hour they spend running on their exercise wheel. To compare the time they spent running on the wheel between the three different groups of rats (in other words, between the three different temperatures of 65, 70, and 75 degrees), what kind of hypothesis test should you do? a. One-Factor, Independent Measures ANOVA b. One Factor, Repeated-Measures ANOVA cCorrelation/Regression d. Chi-Square Goodness of Fit 41. You want to study the things that affect depression. You want to see if depression is changed by taking a pill vs. a placebo. You want to see if depression is changed by getting therapy or not getting therapy. Lastly, you want to see if the unique combination of therapy and pill interacts to produce an extra big effect on depression. What kind of hypothesis test should you do? a One Factor, Independent-Measures ANOVA b. Two-Factor ANOVA 6 Correlation/Regression d Chi-Square Goodness of Fit
You do a survey where you ask people both their age and their income. You want to see if there is a relationship between these two variables, and you want to create an equation you can use to predict someone's age from his/her income. What kind of hypothesis test or analysis should you do? a One Factor, Independent-Measures ANOVA b. Two-Factor ANOVA C. Correlation/Regression d. Chi-Square Goodness of Fit For questions 43 - 47, you will need to calculate numbers using formulas we have learned in this class. 43. For the following Before/After data, calculate the t-obtained for a Related-Samples t-test. a 2.53 b. 3.41 C 4.22 d. 3.59 Before After 10 15 22 21 16 20 14 16 18 24 44. For the following two samples of scores, calculate the pooled variance from an Independent-Samples t-test. a 5 b. 15 c. 20 d. 10 nz ni 15 15 M M2 119 SS 124 SS: 70 70 and the slope of the regression 45. For the following values of SS SS, and SP, the Pearson correlation coefficient () is line (b) is a r=0.53, b=0.5 b. r=0.84, b = 1.21 Cr=0.90, b 0.39 d 0.42,-5.37 SSX 170,00 SSY 150.00 SP 85.00