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- A graduate student is interested in how viewing different types of scenes affects working memory. For his study, he selects a random sample of 36 adults. The subjects complete a series of working memory tests before and after walking in an urban setting. Before the walk, the mean score on the test of working memory was 9.1. After the walk, the mean score was 1.4 higher. The graduate student has no presupposed assumptions about how viewing different types of scenes affects working memory, so he formulates the null and alternative hypotheses as: H00 : μDD = 0 H11 : μDD ≠ 0 Assume that the data satisfy all of the required assumptions for a repeated-measures t test. The graduate student calculates the following statistics for his hypothesis test: Mean difference (MDD) 1.4 Estimated population standard deviation of the differences (s) 1.6 Estimated standard error of the mean differences (sMDMD) 0.2667 Degrees of freedom (df) 35 The t statistic 5.25 The critical values of t…Investigation 3.2: Valence Differences Between R&B and Rap Genres (Paired)A music fan claims that R&B songs tend to have a more positive tone on average than do Rapsongs. The individual collected two independent random samples from the population of SpotifySongs. Fifteen R&B songs and another fifteen Rap songs were collected and their Valence wasrecorded. The music fan believed that pairing the song by their Danceability may provideadditional information. Danceability describes how suitable a track is for dancing based on acombination of musical elements including tempo, rhythm stability, beat strength, and overallregularity. A value of 0.0 is least danceable and 1 is most danceable. Thus, the individual pairedthe R&B song with the lowest danceability with the Rap song with the lowest danceability,followed by the second and second, third and third. She continued this process until the R&Bsong with the highest danceability was paired with the Rap song with the…A teaching assistant for a psychology course is curious about what factors are associated with higher final grades in the course. She finds that students who read the textbook tend to have higher final grades in the course. She finds that students who watch the lecture videos tend to have higher final grades in the course. Lastly, she finds that students who read the textbook and watch the lecture videos tend to have the highest grades in the course. Assuming that any difference is statistically significant, which of the following best characterizes these results? 1 main effect and O interaction effects 1 main effect and 1 interaction effect O main effects and O interaction effects 2 main effects and 1 interaction effect O main effects and 1 interaction effect 2 main effects and O interaction effects
- They then decided to determine whether the effect of the phone depended on how dependent people were on their phones. They had participants complete a scale to measure phone dependence (e.g., I would have trouble getting through a normal day without my phone) and classified them as high or low in dependence. They then analysed working memory task performance in a 2 (location: outside, desk) x 2(dependence: high, low) ANOVA. In this design, "dependence" is a(n) O a. Independent variable O b. Extraneous variable O c. Dependent variable O d. Subject variableUse Excel’s Data Analysis tool to conduct a multiple regression, using Risk of Stroke as the dependent variable, and all the rest of variables as independent variables. Choose confidence level at 99%. Risk of Stroke (%) Age Pressure Smoker (Yes=1) 12 57 152 0 24 67 163 0 13 58 155 0 56 86 177 1 28 59 196 0 51 76 189 0 18 56 155 1 31 78 120 0 37 80 135 1 15 78 98 0 22 71 152 0 36 70 173 1 15 67 135 1 48 77 209 0 15 60 199 0 36 82 119 1 8 66 166 0 34 80 125 1 3 62 117 0 37 59 207 1 Interpret the multiple coefficient of determination R-square. Compare the R-square of the simple linear regression and the R-square of the multiple regression, what does the differences in R-squares tell us? What does F-test for significance tell us?You are examining two data sets involving test scores, set A and set B. The score 96 appears in both data sets. In which of the following data sets does 96 represent a higher score? Explain.(a) The percentile rank of 96 is higher in set B than in set A. A. 96 represents a higher score in Set A because a larger percentage of scores fall below 96 in set A.B. 96 represents a higher score in Set B because a larger percentage of scores fall below 96 in set B. C. 96 represents an equivalent score in both sets because an equal percentage of scores fall below 96 in both sets.D. It is impossible to tell in which set 96 represents a higher score because a percentage depends on the number of test scores in the set, which is unknown. (b) The mean is 90 in both data sets, but set A has a higher standard deviation.A. 96 represents a higher score in Set A because 96 is more standard deviations above the mean.B. 96 represents a higher score in Set B because 96 is more standard deviations above the…