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tarleton.instructure.com Quiz: Exam 3 Course Hero Question 5 1 pts Question 3A ons A normal distribution has a mean of u = 54 with o

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tarleton.instructure.com Quiz: Exam 3 Course Hero Question 5 1 pts Question 3A ons A normal distribution has a mean of u = 54 with o = 17. What proportion of scores in this distribution are above 63? NOTE: Write the p-value exactly as it is given in the PsyStat calculator. Do NOT round. For example, if p = 0.00022, the answer you will type should be: 0.00022 0.7019tarleton.instructure.com Quiz: Exam 3 Course Hero [ Select ] * ; that is , the [ Select ] had [ Select ] * on the [ Select ] Question 32 8 pts Question 5- Paper Work Upload the work you have done on paper for question 5 here. Here is the breakdown of points for the work of each problem: Standard deviation formula/ answer: 2 points Standard error formula/ answer: 2 points Confidence interval formula/ answers: 2 points t-statistic formula/ answer: 2 points Upload Choose a Filetarleton.instructure.com Quiz: Exam 3 Course Hero Question 30 1 pts Question 5C- Work for Bayes factor In the PsyStat Bayes factor calculator: tions Test: [ Select ] Design: [ Select ] Predicted direction: [ Select ] t-statistic: [ Select ] Sample size 1: [ Select ] Sample size 2: [ Select ] (if needed) Prior probability of null: 0.5tarleton.instructure.com Quiz: Exam 3 Course Hero Question 31 1 pts Question 5D D) Compute and interpret the posterior model probability for the winning model chosen in part C. ons Our Bayes factor updated our previous 1-to-1 odds, resulting in the winning model having a posterior model probability of p(H [ Select ] * [data) = [ Select ] In summary, these data provide [ Select ] * evidence in favor of H [ Select ] * ; that is, the [ Select ] had [ Select ] * on the [ Select ]tarleton.instructure.com Quiz: Exam 3 Course Hero Question 29 1 pts ments Question- 50 C) Compute and interpret a Bayes factor for the model (either Ho or H1) with the best predictive uations adequacy for Question 5. We found a Bayes factor of BF [ Select ] [ Select ] which means that the observed data are approximately [ Select ] times more likely under H [ Select ] * than H [ Select ]

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