Social Psychology (10th Edition)
10th Edition
ISBN: 9780134641287
Author: Elliot Aronson, Timothy D. Wilson, Robin M. Akert, Samuel R. Sommers
Publisher: Pearson College Div
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Identify the independent variable, the dependent variable, and the unit of analysis in the following hypothesis.
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- Prof. Cook, always interested in improving her teaching effectiveness, has decided to undertake a analysis of her student evaluations from the past several years. The last question on the student form, Question 17, is "Would you recommend this professor to another student?" A matter of spec to Prof. Cook is how she is viewed by students of different majors. Each of Prof. Cook's students c placed into a category according to the student's major school. (Students who have majors from one school are not included.) So, there are two variables under consideration: student's major scr ("School of Social Sciences", "School of Engineering", or "School of Physical Sciences") and answe Question 17 ("No", "Maybe", or "Yes"). The contingency table below contains a summary of the responses to Question 17 for a random sa 500 of Prof. Cook's students. In each cell of the table is written three numbers: the first number is observed cell frequency (fo); the second number is the expected cell frequency…arrow_forwardA. P (win/regular) = 0.82 P (win/prevent) = 0.64 Conclusion: You are more likely to win by playing prevent defense. B. P (win/regular) = 0.33 P (win/prevent) = 0.67 Conclusion: You are more likely to win by playing prevent defense. C. P (win/regular) = 0.82 P (win/prevent) = 0.64 Conclusion: You are more likely to win by playing regular defense. D. P (win/regular) = 0.33 P (win/prevent) = 0.67 Conclusion: You are more likely to win by playing regular defense.arrow_forwardDoes college major depend on gender? Researchers ask a group of college students about their majors. They also group the students by their gender. The data are recorded in the contingency table below, and a chi-square Test of Independence at the 5% significance level is performed. Arts Humanities Sciences Row Total Men 11 5 19 35 Women 11 22 9 42 Column Total 22 27 28 77 (a) The null and alternative hypotheses are: H0: The two variables are independent, so gender does not affect college major. Ha: The two variables are dependent, so gender does affect college major. (b) Compute the test statistic, rounded to one decimal place. (Use expected frequencies that are also rounded to one decimal place.)arrow_forward
- Exercise 2: The school board of Two Guns, Texas is deeply concerned that their public school teachers are quitting their jobs and accepting teaching positions in other parts of the state. Some members of the school board think that the reason why teachers are quitting is because their weekly salaries are lower than those offered by other school boards in the state. The school board hires you to conduct a significance test. The research question: Do teachers in other parts of Texas earn higher average weekly salaries than those working in the Two Guns school district? There is no estimate of the population standard deviations. The significance level will be set at 5%. Step 1: Test Set-up Question 1: How large a sample is needed to achieve 80% statistical power? Based on past research Cohen's d effect size is estimated at 0.40, which is a small effect. See the table below: Cohen's d ES Thresholds Small 0.2 Medium 0.5 Large 0.8 Here are the results of an a priori power analysis run using…arrow_forwardTest the claim that the mean GPA of night students is larger than 2.3 at the .025 significance level. The null and alternative hypothesis would be: Но : р — 2.3 Но:н — 2.3 Но:р %3D 0.575 Но: д —— 2.3 Но:р %3D 0.575 Но:р 3 0.575 H:р + 2.3 Hi:p 2.3 Н:р#0.575 H:р> 0.575 The test is: left-tailed right-tailed two-tailed Based on a sample of 65 people, the sample mean GPA was 2.34 with a standard deviation of 0.06 The test statistic is: (to 2 decimals) The critical value is: (to 2 decimals) Based on this we: O Fail to reject the null hypothesis O Reject the null hypothesisarrow_forwardResearchers conducted an experiment to test the effects of alcohol. Errors were recorded in a test of visual and motor skills for a treatment group of 23 people who drank ethanol and another group of 23 people given a placebo. The errors for the treatment group have a standard deviation of 2.40, and the errors for the placebo group have a standard deviation of 0.78. Assume that the two populations are normally distributed. Use a 0.05 significance level to test the claim that both groups have the same amount of variation among the errors. Let sample 1 be the sample with the larger sample variance, and let sample 2 be the sample with the smaller sample variance. What are the null and alternative hypotheses? OA. H₂:0² = 0²/2 OB. H₂:0² = 0²/2 H₁: 0²/12 #02/22 H₁:0² > 0²/2 ỌC Họỏi cơ OD. Ho: 0²/02/2 H₁:0² <0² H₁:0² = 0²/2 Identify the test statistic. (Round to two decimal places as needed.) Use technology to identify the P-value. (Round to three decimal places as needed.)arrow_forward
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