Exam 2 Stats Lab - edited

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Florida Atlantic University *

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3163L

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Statistics

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Feb 20, 2024

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pdf

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Intermediate Statistics Lab Exam 2 1) What statistical test would be used if you wanted to predict values of a dependent variable from one independent variable ? (7 pts) A. Correlation B. Linear regression C. Paired Samples t-test D. One way ANOVA 2) 20 patients with chronic arthritis pain were given a new treatment to alleviate the pain. The same patients were tested at 3 months, 6 months, and 9 months after Mirst receiving treatment. Patients had to indicate level of pain from 0 (no pain) to 9 (severe pain). What statistical test would be used to examine whether the new treatment was effective at reducing arthritis pain over time? (7 pts) A Repeated Measures ANOVA test should be used because each patient is being tested in different increment of months; 3 months, 6 months and 9 months after treatment. 3) Use the data set highschool.sav to answer this question. We are interested in whether GPA increases or decreases as students progress through high school. In order to examine this question, we obtain GPAs from 24 children at age 15 (GPA15) and then the same children again at age 17 (GPA17). Do students’ GPAs change signiMicantly between the ages of 15 and 17? a) Perform a paired-samples t- test to evaluate this question. (6 pts) On SPSS pdf b) Report the complete results in APA format. In everyday language, describe what the results suggest. (6 pts) A paired-samples t-test was performed to test whether students GPA increases or decreases as students progress through high school. The test was signiMicant, t (23) = 2.24, p = .035. GPA at age 15 ( M =3.33, SD = 0.42) was signiMicantly higher than GPA at age 17 ( M = 3.07, SD = 0.54). These Mindings suggest that as students progress through high school, their GPA is higher when they are age 15 than age 17. ~~~ 4) Use the data set ColdDrug.sav for this question. A drug company created a new drug that is supposed to prevent colds. To test if the drug is effective, they paid 30 participants to be part of the study, and randomly assigned them to one of three groups: (1) High dose, (2) Low dose, and (3) Placebo condition (no active ingredients). The participants reported the number of colds they had over 6 months. Was this new drug effective at preventing colds? a) Run a statistical test on the data to evaluate this question. (6 pts) *use One Way ANOVA* ON SPSS PDF
b) Report the complete results in APA format. In everyday language, describe the results. (6 pts) A One Way ANOVA test was performed to test the hypothesis that a new drug is suppose to prevent colds. The test was signiMicant, F (2, 27) = 4.60, p = .019. Tukey post-hoc analyses revealed that the High dose group ( M = 12.10, SD = 3.35) reported signiMicant increase preventing colds compared to the Low dose ( M = 6.90, SD = 4.07), and Placebo ( M = 7.00, SD = 5.48) groups, but no signiMicance difference in effectiveness between the low dose and the placebo and Placebo. These Mindings suggest that prescribing participants with the higher dose of the new drug is more effective at preventing colds. ~~~ 5) Use the data set workout.sav to answer the Minal question. A researcher from the Exercise and Science Department is interested in preferences for different types of workouts and the impact on health. Data from 60 FAU undergraduate students were collected, 20 of whom prefer cardio workouts, 20 who prefer weight lifting, and 20 who prefer a program which contains both cardio and weight lifting exercises (workout). The researcher recorded the participants’ weight, their sex, their preferred type of workout, and their overall health using the Hunter-Joseph Health Scale, where 1 = poor health and 10 = excellent health . The researcher is interested in the effects of (1) sex and (2) workout type on participants’ health (HJHS score). a) Perform a statistical test to examine whether participant sex and workout type inMluence health. (6 pts) ON SPSS PDF b) In everyday language, explain what these results tell us about the effects of sex and workout type on participants’ HJHS scores. (No APA style required. No need to type p-values or exact mean scores.) (6 pts) A correlation was conducted to test the association between the sex and HJHS score. The sex and HJHS scores were not signiUicantly different ( r = .90, p = -.02). There was a strong negative correlation between the sex and HJHS score, indicating the general capability does not rely on their sex.
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