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A researcher is interested in the effect type of residence has on the personal happiness of
college students. She selects samples of students who live in campus dorms, in off-campus apartments, and at home and asks the respondents to rate their happiness on a scale of 1 (not happy) to 10 (happy). Her data are reported below
A) Write research and null hypotheses
B) Does happiness differ by type of residence? Test with an α = 0.01.
C) What type of error is possible based on the outcome?
D) On average, which residence type has the highest amount of personal happiness?
Report the
E) On average, which residence type has the lowest amount of personal happiness? Report the mean.
F) If appropriate, use Scheffe’s post hoc test and report where the differences are. If
inappropriate, state why.
G) Calculate and interpret the effect size
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- Studies indicate that excessive noise at night can affect weight gain. One study of n = 127 rats compared the weight gain of rats exposed to excessive noise at night and the weight gain of rats in a quiet night environment. Sample statistics for the study are given in the table below. Use this information to determine if there is significant evidence that weight gain of rats exposed to excessive noise at night is different on average than weight gain of rats in a quiet night environment. Excessive noise at night environment (Group 1) Quiet night environment (Group 2) Sample mean (grams) 22.4 19.9 Sample standard deviation (grams) 6.4 3.8 Observations/Sample size 69 58 The 95% confidence interval for the difference (Group 1 – Group 2) in weight gain of rats exposed to excessive noise at night and rats in quiet night environment is (0.7g, 4.3g). Interpret this confidence interval in one or two sentences.A flextime program permits employees to design their own workweek to meet their personal needs. A firm starts a pilot flextime program to test its results. Nine random employees were given a questionnaire to measure their attitude toward their job before and after using a flextime program. The resulting attitude scores are displayed in the accompanying table. The higher the score, the more favorable the employee's attitude toward his or her work. Use a nonparametric test procedure to evaluate the success of the pilot program. Test using a = 0.05. E Click the icon to view the data table. ..... Set up the null and alternative hypotheses. Choose the correct answer below. O A. Ho: The probability distributions of the two populations are identical. H.: The before probability distribution is shifted to the left of the after probability distribution. - X Data Table O B. Hn: The before probability distribution is shifted to the left of the after probability distribution. H3: The probability…A marketing agency wanted to determine if a new commercial changed people's opinion about a company. They recruited n=30 participants to watch the commercial. First, everyone was givien a survey to determine their attitudes toward the company. Then, everyone watched the new commercial. Finally, they were given the same survey again and asked about their attitudes toward the comapny after seeing the commercial. The agency wanted to see if attitudes were changed by the commercial. What statistical test should they use?
- A researcher is testing the effect of one independent variable using three treatment conditions. She compares three group means where there are different people in each group. It is best for her to use which type of statistical analysis?Studies indicate that excessive noise at night can affect weight gain. One study of n = 127 rats compared the weight gain of rats exposed to excessive noise at night and the weight gain of rats in a quiet night environment. Sample statistics for the study are given in the table below. Use this information to determine if there is significant evidence that weight gain of rats exposed to excessive noise at night is different on average than weight gain of rats in a quiet night environment. Excessive noise at night environment (Group 1) Quiet night environment (Group 2) Sample mean (grams) 22.4 19.9 Sample standard deviation (grams) 6.4 3.8 Observations/Sample size 69 58 The p-value for this test is 0.0086. Make a decision and conclusion for the hypothesis test in context. Use a 5% significance level (α = 0.05).A poll was conducted to investigate opinions about global warming. The respondents who answered yes when asked if there is solid evidence that the earth is getting warmer were then asked to select a cause of global warming. The results are given in the accompanying data table. Use a 0.01 significance level to test the claim that the sex of the respondent is independent of the choice for the cause of global warming. Do men and women appear to agree, or is there a substantial difference? Human activity Natural patterns Don't know 307 Male 139 60 Female 327 158 59 Click here to view the chi-square distribution table. Identify the null and alternative hypotheses. Ho: The sex of the respondent and the choice for the cause of global warming are independent. The sex of the respondent and the choice for the cause of global warming are dependent. Compute the test statistic. (Round to three decimal places as needed.)
- Studies indicate that excessive noise at night can affect weight gain. One study of n = 127 rats compared the weight gain of rats exposed to excessive noise at night and the weight gain of rats in a quiet night environment. Sample statistics for the study are given in the table below. Use this information to determine if there is significant evidence that weight gain of rats exposed to excessive noise at night is different on average than weight gain of rats in a quiet night environment. Excessive noise at night environment (Group 1) Quiet night environment (Group 2) Sample mean (grams) 22.4 19.9 Sample standard deviation (grams) 6.4 3.8 Observations/Sample size 69 58 Is this a one-tailed or a two-tailed test? Explain in one or two sentences.Chi-sauare distribution table Question Viewer Degrees of Freedom 1 234569 7 8 10 0.995 0.010 0.072 0.207 0.412 0.676 0.989 1.344 1.735 2.156 0.99 0.020 0.115 0.297 0.554 0.872 1.239 1.646 2.088 2.558 Area to the Right of the critical value 0.975 0.001 0.051 0.216 0.484 0.831 1.237 1.690 2.180 2.700 3.247 0.95 0.004 0.103 0.352 0.711 1.145 1.635 2.167 2.733 3.325 3.940 I 0.90 0.016 0.211 0.584 1.064 1.610 2.204 2.833 3.490 4.168 4.865 0.10 2.706 4.605 6.251 7.779 9.236 10.645 12.017 13.362 14.684 15.987A 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…
- 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?Researchers investigate how the presence of cell phones influence the quality of human interaction. Subjects are randomly selected from a population and divided into an experimental group that is asked to leave their phones in the front of the room and a control group that are not asked to leave their cell phones at the front of the room. Subjects are left alone for 10 minutes and then asked to take a survey designed to measure quality of interactions they had with others in the experiment. What statistical test is appropriate?A poll was conducted to investigate opinions about global warming. The respondents who answered yes when asked if Question Viewer idence that the earth is getting warmer were then asked to select a cause of global warming. The results are given in the accompanying data table. Use a 0.05 significance level to test the claim that the sex of the respondent is independent of the choice for the cause of global warming. Do men and women appear to agree, or is there a substantial difference? Human activity Natural patterns Male 340 164 Female 319 161 Click here to view the chi-square distribution table. Identify the null and alternative hypotheses. The sex of the respondent The sex of the respondent Ho: H₁: Compute the test statistic. Don't know 27 29 and the choice for the cause of global warming are independent. and the choice for the cause of global warming are dependent. (Round to three decimal places as needed.)