Mateus's bank issued an advertisement saying that 90% of its customers are satisfied with the bank's services. Since he himself wasn't very satisfied, he suspected the ad is false. He surveyed a random sample of 80 of the bank's customers, and found that only 80% were satisfied. Let's test the hypothesis that the actual percentage of satisfied customers is 90% versus the alternative that the actual percentage is lower than that. The table below sums up the results of 1000 simulations, each simulating a sample of 80 customers, assuming there are 90% satisfied customers. According to the simulations, what is the probability of getting a sample with 80% satisfied customers or less?

A researcher gathered a sample of participants who volunteered for a studying of phobias. She measured anxiety level of participants as they viewed photos of spiders and again when they viewed puppies. Which statistical test is appropriate for this study and why?

ALREADY HAVE FIRST THREE ANSWERS NEED THE REST. ANOVA. Dr. Milgram is conducting a patient satisfaction survey, rating how well her patients like her on a scale of 1-10. Her patients tend to fall into three categories: “Like a lot”, “like somewhat”, and “dislike a lot”. She believes that she might get different satisfaction scores from people in each group, but (because she's not great at numbers) she wants you to do an ANOVA to be sure. She has collected data from 12 patients (three equal groups) with the following results.     Group 1) “Like a lot”               Mean:   8                    SS: 2   N:                      df:            Group 2) “Like somewhat”     Mean:   5                    SS: 6   N:                      df:             Group 3) “Dislike a lot”         Mean:    2                   SS: 4   N:                      df:              Grand Mean:      4    df Within-Group: 9  df Between-Groups: 2    Estimated Variance (S21) for Group 1: _______ Estimated Variance (S22)…

please explain!