Sample surveys show that more people are tracking changes in their health on paper, spreadsheet, mobile device, or just "in their heads." A survey asked a nationwide random sample of 3014 adults, "Now thinking about your health overall, do you currently keep track of your own weight, diet, or exercise routine, or is this not something you currently do?" The population that the poll wants to draw conclusions about is all U.S. residents aged 18 or over. Suppose that, in fact, 61% of all adult U.S. residents would say "Yes" if asked this question. Using Table A, find the (approximate) probability that 1900 or more adults in the sample say "Yes." (Enter your answer rounded to four decimal places.)

Empathy among police officers influences how they interact with citizens and the likelihood that they receive complaints. Gender differences in levels of empathy in the general population are not large but male and female officers have been shown to have different interaction styles with the public; this may be due to the different empathy levels. After sampling officers and measuring their levels of empathy you find the following data.   Males Females   n = 6 n = 9 M = 31 M = 45 SS = 490 SS = 680     If you were going to make gender comparisons like this, which option would be the correct choice? Write A or B in the box.              Option A. Independent-measures t test             Option B. Repeated-measures t test   Based on these results, is there a significant difference between the attitudes for males and for females? Use a two-tailed test with  = .05. (Use 3 decimal places.) t-critical = ±   t =      What is your conclusion? Write A, B, C, or D in the box.  Option A. Reject the…

▾ Part 1 of 4 John Paul teaches five sections of Introductory Psychology. He wants to know whether or not the average score on the second exam is the same for all five sections. John Paul's student's exam scores are listed below. Use an ANOVA test with a level of significance of 5% to test whether the average score is the same for all five sections. Section 1: 62, 76, 70, 66, 94, 59, 76, 65, 72, 79, 52, 46, 74, 43, 68, 61, 75, 65, 63, 58, 62, 76, 70, 61, 76, 73, 53, 57, 73, 78, 51, 54, 42, 66, 58, 72, 44, 87 Section 2: 65, 52, 51, 67, 64, 75, 56, 68, 72, 82, 74, 73, 83, 42, 73, 85, 67, 46, 70, 51, 72, 53, 28, 58, 62, 68, 58, 85, 71, 57, 60, 79, 64, 60, 69, 65, 66 Section 3: 83, 67, 69, 72, 67, 92, 57, 57, 57, 61, 90, 75, 62, 69, 50, 57, 60, 94, 83, 69, 68, 65, 81, 60, 81, 67, 72, 78, 79,65 Section 4: 63, 75, 55, 70, 75, 81, 50, 77, 59, 42, 44, 85, 57, 62, 33, 45, 82, 67, 68, 47, 75, 69, 48, 96, 79, 77 Section 5: 30, 82, 83, 54, 54, 59, 75, 43, 68, 58, 58, 45, 72, 67, 58, 82, 50, 63,…

Many people now turn to the internet to get information on health-related topics. A research article used Flesch reading ease scores (a measure of reading difficulty based on factors such as sentence length and number of syllables in the words used) to score pages on Wikipedia and on WebMD. Higher Flesch scores correspond to more difficult reading levels. The paper reported that for a representative sample of health-related pages on Wikipedia, the mean Flesch score was 26.9 and the standard deviation of the Flesch scores was 14.9. For a representative sample of pages from WebMD, the mean score was 43.5 and the standard deviation was 19.2. Suppose that these means and standard deviations were based on samples of 40 pages from each site. Is there convincing evidence that the mean reading level for health-related pages differs for Wikipedia and WebMD? Test the relevant hypotheses using a significance level of 0.05. (Use μ₁ for Wikipedia and μ₂ for WebMD.) USE SALT State the appropriate…