Introduction to Business Statistics
7th Edition
ISBN: 9781111792374
Author: WEIERS
Publisher: Cengage Learning
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Textbook Question
Chapter 11.5, Problem 11.49E
The students in an aerobics class have been weighed both before and after the 5-week class, with the following results:
Using the 0.05 level of significance, evaluate the effectiveness of the program. Using the appropriate statistical table, what is the most accurate statement we can make about the p-value for this test?
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Introduction to Business Statistics
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- Choose the correct statistical test to use: 1. You investigated the effect of vitamin D on melanoma in males and females. After exposing the subjects to two concentrations of vitamin D or a placebo for two years, you determined how many males and females were diagnosed with melanoma. 2. You follow your vitamin D/melanoma study with an investigation into the number of sites per person the females developed. You compared the highest vitamin D concentration to the placebo. 3. Studies show that women can pole vault higher when wearing Nike running shoes than when wearing Adidas running shoes. You are an Adidas marketing agent and want to disprove this claim. You measured the height that 50 women wearing Nike shoes could vault and compared it to the height that 43 women wearing Adidas shoes could vault. 4. I have noticed that the research students in my lab prefer using the Eppendorf brand of micropipettes over the VWR brand. I need to purchase more pipettes so I want to make sure this is…arrow_forwardA pharmaceutical company is testing the effectiveness of a new drug for lowering cholesterol. As part of this trial, they wish to determine whether there is a difference between the effectiveness for women and men. At a = 0.05, what is an appropriate test value? Women Men Sample size 50 80 Mean effectiveness 4.9 5 Population variance 3.6 3.6 0.34 -0.85 -3.42 -0.29arrow_forwardWe will be using stress dataset to compare the stress level of college students and the general population. Stress level score is based on three metrics, 1. Responsiveness, 2. Exertion Balance, and 3. Sleep patterns. The scale is from 0 to 30, the lower the score the less stress. Use ANOVA to answer the following questions: Question Generate a boxplot of stress score by the group using proc boxplot in SAS. Describe your observations. Compare the means and variances of stress score by group. Explain if any of the assumptions of ANOVA is violated. Write out the ANOVA model. Assuming you want to compare the stress level of college students and the general population, write out the null and the alternative hypotheses. Fit a one-way ANOVA to compare the stress score for the college students and the general population. Using the result in question 5, test the hypothesis and make a statistical decision. What further statistical analysis might you perform if the null hypothesis is rejected.arrow_forward
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