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1) A researcher hypothesizes that attitudes toward recycling can be improved by prorecycling messages. She randomizes participants to either the treatment or control condition. The

1) A researcher hypothesizes that attitudes toward recycling can be improved by prorecycling messages. She randomizes participants to either the treatment or control condition. The treatment group reads a short argument in favor of recycling then completes a questionnaire about attitudes toward recycling (on a scale of 1-7, with higher values indicating more positive attitudes). The control group doesn't read anything but responds to the same questionnaire. A The dependent variable B The predictor variable C The casual variable D The independent variable 2) Consider the research design described above. The results from the recycling study are as follows: Treatment group mean: 4.40 Control group mean: 3.20 Sample size: 50 Standard error of the differences between the means: 0.75 Computer the lower bound of the confidence interval. (See the formula). You may use (http://www.danielsoper.com/statcalc/calculator.aspx?id=10) to obtain the critical value for the t-test. Make sure to use .05 for the two-tailed probability and use the \"two-tailed T value\" in your calculation. Or you can use a standard table of critical t-values. And make sure to use the treatment group mean as \"mean 1\" in the formula. 3) A researcher thinks that listening to classical music reduces anxiety. She measures the anxiety of 10 persons then plays Mozart's \"Eine Kleine Nachtmusik\" for them. Following that the researcher measures their anxienty again. (Note that the anxiety is measured on a scale from 1 to 7, with higher numbers indicating increased anxiety). In this design, classical music is the a) Independent variable b) criterion variable c) dependent variable d) outcome variable 4) A researcher thinks that listening to classical music reduces anxiety. She measures the anxiety of 10 persons then plays Mozart's \"Eine Kleine Nachtmusik\" for them. Following that the researcher measures their anxienty again. (Note that the anxiety is measured on a scale from 1 to 7, with higher numbers indicating increased anxiety). Does the study support her hypothesis? Compute the upper bound of the confidence interval using the following data: -Mean of the difference scores (subtract pretest from posttest): -1.2 -standard error of the difference scores: 0.4 -The formula for the CI upper bound is (standard error of the difference scores)*(t critical value)+(mean of the difference scores) 5) A researcher hypothesizes that the attraction one feels for a potential partner increases the anxiety one feels during the first date. Higher numbers indicate higher attraction and anxiety (on a scale of 1-7 for both). She obtains a sample of 80 participants and from that computes the covariance, and standard deviations for anxiety and attraction, reported below. For this question, what is the correlation between attraction and anxiety? Covariance = 1.00 sd(attraction) = 2.20 sd(anxiety) = 2.40 Make sure to enter only the correlation in your answer and carry it out two decimal places (e.g., .45). Use the Formula below. 6) A researcher hypothesizes that educational status predicts liking for jazz music. Educational status is measured by years in school (where 12 years corresponds to a high school degree, 16 years to a college degreemore or less, 18 years an MA, and so on) and liking for jazz on a scale of 1 to 7, with higher numbers indicating greater appreciation for that style of music. Correlation 0.30 ^S Education 5.0 ^S Jazz 1.0 What is the regression coefficient for these data? Use the formula below. Provide only a numeric response out to two decimal places (e.g., .30) 7) A researcher asks if study time (in hours) predicts test performance (0-100). She asked students to report study time prior to giving an exam. She obtained the following data: Standard deviation of test performance: 9.00 Correlation between study time and test performance: 0.40 Compute the standard error of the estimate using the formula above. Enter only numbers in your response, carrying your answer out to two decimal places 8) Imagine a study of college students' political party reference. The researcher asks \"which political party do you most identify with?\" and provides the following options: democrat, republican, green party, libertarian, other. If the sample size 380 what is the expected value for any category (including \"other\")? Your answer must be a whole number. 9) A researcher wonders if gender and liking for statistics are related. Liking for statistics is measured as either yes or no. In this design, the level of measurement for linking for statistics is A) Ratio B) Categorical C) Ordinal D) Interval 10) In the study design described above, liking of statistics is the A) Predictor variable B) casual variable C) Independent Variable D) Dependent variable 11) A researcher wonders if gender and liking for statistics are related. She collects the following data: Likes Dislike Male 20 13 Female 7 12 What is the expected value for males who dislike statistics? (Remember to provide your answer out to 2 decimal places, e.g., 15.10) 12) A researcher wonders if gender and liking for statistics are related. She collects the following data: Likes Dislike Male 22 14 Female 9 13 What is the chi-square statistics for these data? Again, youre answer must go out to 2 decimal places

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