Introduction To Statistics And Data Analysis
6th Edition
ISBN: 9781337793612
Author: PECK, Roxy.
Publisher: Cengage Learning,
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Textbook Question
Chapter 2.4, Problem 62E
The San Luis Obispo Tribune (May 7, 2002) reported that “a new analysis has found that in the majority of trials conducted by drug companies in recent decades, sugar pills have done as well as—or better than—antidepressants.” What effect is being described here? What does this imply about the design of experiments with a goal of evaluating the effectiveness of a new medication?
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In a study of whether taking a garlic supplement reduces the risk of getting a cold, participants were assigned to either a garlic supplement group or to a group that did not take a garlic supplement.† Based on the study, it was concluded that the proportion of people taking a garlic supplement who get a cold is lower than the proportion of those not taking a garlic supplement who get a cold.
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Chapter 2 Solutions
Introduction To Statistics And Data Analysis
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- What is an experiment?arrow_forwardWhat is meant by the sample space of an experiment?arrow_forwardIn 2010, Seery, Holman, & Silver found that individuals with some history of adversity report better mental health and well-being compared to people with little to no history of adversity. In an attempt to examine this phenomenon, a researcher surveys a group of college students to determine the negative life events they experienced in the last 5 years and their current feeling of well-being. Participants: With 5-10 negative experiences With 2 or fewer negative experiences n=7 n=7 Well-being score of M=48 Well-being score of M=41 SS=325 SS=347 1. State the hypotheses both experimental and statistical 2. Do the results indicate significantly different reports of Well-being? Use a two-tailed test with a=.05. Please show work and state your decision regarding the H0. 3. Compute the estimated Cohen's d to measure the size of the effect. State…arrow_forward
- Week 7 Why is an experimental confound so damaging to the conclusions drawn from an experiment?arrow_forwardWhat is the summary of the overall model of the data shown in question 1? Is it one that you would trust from a statistical standpoint? specifically why ?arrow_forwardIt appears that there is some truth to the old adage “That which doesn’t kill us makes us stronger.” Seery, Holman, and Silver (2010) found that individuals with some history of adversity report better mental health and higher well-being compared to people with little or no history of adversity. In an attempt to examine this phenomenon, a researcher surveys a group of college students to determine the negative life events that they experienced in the past 5 years and their current feeling of well-being. For n = 18 participants with 2 or fewer negative experiences, the average well-being score is M = 42 with SS = 398, and for n = 16 participants with 5 to 10 negative experiences the average score is M = 48.6 with SS = 370. a.) Is there a significant difference between the two populations represented by these two samples? Include whether you reject or retain the Null Hypothesis. Use a two-tailed test with α = 0.01 b.) Compute Cohen’s d to measure the size of the effect. c.) Write a…arrow_forward
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