Introduction to the Practice of Statistics: w/CrunchIt/EESEE Access Card
8th Edition
ISBN: 9781464158933
Author: David S. Moore, George P. McCabe, Bruce A. Craig
Publisher: W. H. Freeman
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Chapter 3.2, Problem 19UYK
To determine
Whether the study on controlling diet and exercise is an experiment or not, the experimental units, the treatments, the response variable, the factors of the experiment and its levels, and the effect of lesser number of participants on the result of study.
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Check out a sample textbook solutionStudents have asked these similar questions
We want to design an experimental study to
infer whether moderate wine drinking causes a
lower risk of heart disease. To do this, we plan
to compare participants who drink a moderate
amount of wine with participants who do not
drink wine.
Part A: Which is the control group? Which is the
treatment group?
O Non-wine drinkers are the control group,
and moderate wine drinkers are the
treatment group.
O Moderate wine drinkers are the control
group, and non-wine drinkers are the
treatment group.
Part B: Would it make sense to allow the study
participants to choose which group they are in?
Yes
O No
Part 1: Please read the following scenarios. For each scenario, answer the following questions: a) what is the independent variable, b) what is the dependent variable, and c) is this a between-subjects or within-subjects design?
A pharmaceutical company developed a new drug to relieve anxiety and hired a research organization to investigate the potential effectiveness of the drug. The researchers contacted a group of psychiatric patients who were experiencing chronic anxiety and randomly assigned half of the patients to the drug group and half of the patients to the placebo group. To avoid any possible confusion in administering the drug or placebo to the patients, one psychiatric nurse always administered the drug and another nurse always administered the placebo. However, to control experimenter expectancy effects, the nurses did not know which drug they were administering. One month later the drug group had dramatically improved compared to the placebo group, and the…
Government economic studies reveal that young adults, not middle-aged or older adults, are having the most difficult time in today’s economy. Although the nation’s labor market shows a decline in the unemployment rate, the percentage of young adults, ages 18 to 24, currently employed (54 percent) is at the lowest level since the government data collection began in 1948. If you were working for a national survey organization doing a general public survey of young adults and older adults, what topics and questions would you design into your survey to elaborate on this finding?
Chapter 3 Solutions
Introduction to the Practice of Statistics: w/CrunchIt/EESEE Access Card
Ch. 3.1 - Prob. 1UYKCh. 3.1 - Prob. 2UYKCh. 3.1 - Prob. 3UYKCh. 3.1 - Prob. 4UYKCh. 3.1 - Prob. 5UYKCh. 3.1 - Prob. 6UYKCh. 3.1 - Prob. 7UYKCh. 3.1 - Prob. 8UYKCh. 3.1 - Prob. 9UYKCh. 3.1 - Prob. 10UYK
Ch. 3.1 - Prob. 11UYKCh. 3.1 - Prob. 12ECh. 3.1 - Prob. 13ECh. 3.1 - Prob. 14ECh. 3.1 - Prob. 15ECh. 3.1 - Prob. 16ECh. 3.1 - Prob. 17ECh. 3.2 - Prob. 18UYKCh. 3.2 - Prob. 19UYKCh. 3.2 - Prob. 20UYKCh. 3.2 - Prob. 21UYKCh. 3.2 - Prob. 22UYKCh. 3.2 - Prob. 23UYKCh. 3.2 - Prob. 25ECh. 3.2 - Prob. 26ECh. 3.2 - Prob. 27ECh. 3.2 - Prob. 28ECh. 3.2 - Prob. 29ECh. 3.2 - Prob. 30ECh. 3.2 - Prob. 31ECh. 3.2 - Prob. 32ECh. 3.2 - Prob. 33ECh. 3.2 - Prob. 34ECh. 3.2 - Prob. 35ECh. 3.2 - Prob. 36ECh. 3.2 - Prob. 37ECh. 3.2 - Prob. 38ECh. 3.2 - Prob. 39ECh. 3.2 - Prob. 40ECh. 3.2 - Prob. 41ECh. 3.2 - Prob. 42ECh. 3.2 - Prob. 43ECh. 3.2 - Prob. 44ECh. 3.2 - Prob. 45ECh. 3.2 - Prob. 46ECh. 3.2 - Prob. 47ECh. 3.3 - Prob. 48UYKCh. 3.3 - Prob. 49UYKCh. 3.3 - Prob. 50UYKCh. 3.3 - Prob. 51UYKCh. 3.3 - Prob. 52ECh. 3.3 - Prob. 53ECh. 3.3 - Prob. 54ECh. 3.3 - Prob. 55ECh. 3.3 - Prob. 56ECh. 3.3 - Prob. 57ECh. 3.3 - Prob. 58ECh. 3.3 - Prob. 59ECh. 3.3 - Prob. 60ECh. 3.3 - Prob. 61ECh. 3.3 - Prob. 62ECh. 3.3 - Prob. 63ECh. 3.3 - Prob. 64ECh. 3.3 - Prob. 65ECh. 3.3 - Prob. 66ECh. 3.3 - Prob. 67ECh. 3.3 - Prob. 68ECh. 3.3 - Prob. 69ECh. 3.3 - Prob. 70ECh. 3.3 - Prob. 71ECh. 3.3 - Prob. 72ECh. 3.3 - Prob. 73ECh. 3.3 - Prob. 74ECh. 3.3 - Prob. 75ECh. 3.3 - Prob. 76ECh. 3.3 - Prob. 77ECh. 3.3 - Prob. 78ECh. 3.4 - Prob. 79UYKCh. 3.4 - Prob. 80UYKCh. 3.4 - Prob. 81UYKCh. 3.4 - Prob. 82ECh. 3.4 - Prob. 83ECh. 3.4 - Prob. 84ECh. 3.4 - Prob. 85ECh. 3.4 - Prob. 86ECh. 3.4 - Prob. 87ECh. 3.4 - Prob. 88ECh. 3.4 - Prob. 89ECh. 3.4 - Prob. 90ECh. 3.4 - Prob. 91ECh. 3.4 - Prob. 92ECh. 3.4 - Prob. 93ECh. 3.4 - Prob. 94ECh. 3.4 - Prob. 95ECh. 3.5 - Prob. 96UYKCh. 3.5 - Prob. 97UYKCh. 3.5 - Prob. 98UYKCh. 3.5 - Prob. 99UYKCh. 3.5 - Prob. 100UYKCh. 3.5 - Prob. 101UYKCh. 3.5 - Prob. 102ECh. 3.5 - Prob. 103ECh. 3.5 - Prob. 104ECh. 3.5 - Prob. 105ECh. 3.5 - Prob. 106ECh. 3.5 - Prob. 108ECh. 3.5 - Prob. 109ECh. 3.5 - Prob. 110ECh. 3.5 - Prob. 111ECh. 3.5 - Prob. 112ECh. 3.5 - Prob. 113ECh. 3.5 - Prob. 114ECh. 3.5 - Prob. 115ECh. 3.5 - Prob. 116ECh. 3.5 - Prob. 117ECh. 3 - Prob. 118ECh. 3 - Prob. 119ECh. 3 - Prob. 121ECh. 3 - Prob. 122ECh. 3 - Prob. 123ECh. 3 - Prob. 124ECh. 3 - Prob. 125ECh. 3 - Prob. 126ECh. 3 - Prob. 127ECh. 3 - Prob. 128ECh. 3 - Prob. 129ECh. 3 - Prob. 130ECh. 3 - Prob. 131ECh. 3 - Prob. 132ECh. 3 - Prob. 133ECh. 3 - Prob. 134ECh. 3 - Prob. 135ECh. 3 - Prob. 136ECh. 3 - Prob. 137ECh. 3 - Prob. 138E
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- Determine whether the study depicts an observational study or an experimental study. A study was done to see if sugar consumption can cause hypoeractivity in children. The researcher took four groups of children and assigned different amounts of sugar the children had to consume. After a certain period of time, they assessed whether or not the children were hyperactive.arrow_forwardRecent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study. Low Moderate High Moderate Moderately Severe Severe 1.6 2.9 3.8 3.4 0.9 1.3 3 2.8 1.8 3.1 3.3 3.2 2.7 3.7 2.4 4.9 3.8 2.9 3.7 3.2 4.9 1.7 From this table, conduct an one-way ANOVA. Calculate the F-ratio and p-value. Be sure to round your answers to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: What is your final conclusion? Use a significance level of a = 0.01. O There is sufficient evidence that there exists a significant difference between treatments. O…arrow_forwardWhat is the step-step solution to this problem? Does posting calorie content for menu items affect people’s choices in fast-food restaurants? According to results obtained by Elbel, Gyamfi, and Kersh (2011), the answer is no. The researchers monitored the calorie content of food purchases for children and adolescents in four large fast-food chains before and after mandatory labeling began in New York City. Although most of the adolescents reported noticing the calorie labels, apparently the labels had no effect on their choices. Data similar to the results obtained show an average of M = 786 calories per meal with s = 85 for n = 100 children and adolescents before the labeling, compared to an average of M = 772 calories with s = 91 for a similar sample of n = 100 after the mandatory posting. Use a two-tailed test with a α .05 to determine whether the mean number of calories after the posting is significantly different than before calorie content was posted. 3. Calculate r 2 to…arrow_forward
- Recent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study. Low High Moderate Moderate Moderately Severe Severe 0 2.6 2.7 2.7 1.7 2.5 3.2 3.3 2.2 3 3.2 5.2 0.6 1.8 3.8 1.5 1.9 1.9 3.8 5.9 1.3 1.2 2.4 2.9 From this table, conduct an one-way ANOVA. Calculate the F-ratio and p-value. Be sure to round your answers to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: What is your final conclusion? Use a significance level of απ 0.02. There is not enough evidence to determine a difference between the treatments. There is…arrow_forwardRecent research indicates that the effectiveness of antidepressant medication is directly related to the severity of the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on pretreatment depression scores, patients were divided into four groups based on their level of depression. After receiving the antidepressant medication, depression scores were measured again and the amount of improvement was recorded for each patient. The following data are similar to the results of the study. Low High Moderate Moderately Moderate Severe Severe 3.1 1.3 5.1 3.5 2.3 3.3 3.6 2.9 2.7 2.9 1.8 4.2 3 4 4.2 2 3.9 3.9 4.7 2.1 0.5 2.5 2.2 From this table, conduct an one-way ANOVA. Calculate the F-ratio and p-value. Be sure to round your answers to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: What is your final conclusion? Use a significance level of a = 0.02. O There is not enough evidence to determine a difference between the treatments. O There is…arrow_forwardAs you read about each study, (a) classify the type of research that it reflects, and (b) identify the kinds of conclusions that might reasonably be drawn from the results. During their 8th- and 11th-grade school years, students in the Ranger School District take standardized achievement tests designed to assess their language and math skills. The superintendent receives a report showing how Ranger students compare with those in many other school districts across the nation. The superintendent discusses the results with the school principals. (a) Classify the research as one of the following: Quantitative/descriptive Quantitative/correlational Quantitative/experimental Quantitative/quasi-experimental Qualitative Mixed methods, and then (b) Identify one or more conclusions that might reasonably be drawn from this study and, if relevant, one or more conclusions that cannot be drawn from the studyarrow_forward
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- Define each of the following terms in the context of experimental design. a. Response variable b. Factor c. Levels d. Treatmentsarrow_forward“The rapid growth of video game popularity has generated concern among practitioners, parents, scholars, and politicians,” wrote researchers Hope M. Cummings and Elizabeth A. Vandewater. In their study, Cummings and Vandewater measured the time adolescents spent playing video games as well as time spent doing other activities, such as interacting with family and friends, reading or doing homework, or playing sports. [Source: Cummings, H., & Vandewater, E. (2007). Relation of adolescent video game play to time spent in other activities. Archives of Pediatrics & Adolescent Medicine, 161(7), 684–689.] After reading about the study conducted by Cummings and Vandewater, you decide to conduct a similar study among a sample of 10 teenage girls. You ask the girls to keep a log of their activities for a day. You want to test whether the amount of time girls spend playing video games is correlated with the amount of time they read for pleasure. You realize that because some of the…arrow_forward“The rapid growth of video game popularity has generated concern among practitioners, parents, scholars, and politicians,” wrote researchers Hope M. Cummings and Elizabeth A. Vandewater. In their study, Cummings and Vandewater measured the time adolescents spent playing video games as well as time spent doing other activities, such as interacting with family and friends, reading or doing homework, or playing sports. [Source: Cummings, H., & Vandewater, E. (2007). Relation of adolescent video game play to time spent in other activities. Archives of Pediatrics & Adolescent Medicine, 161(7), 684–689.] After reading about the study conducted by Cummings and Vandewater, you decide to conduct a similar study among a sample of 10 teenage girls. You ask the girls to keep a log of their activities for a day. You want to test whether the amount of time girls spend playing video games is correlated with the amount of time they read for pleasure. You realize that because some of the…arrow_forward
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