In within-group design, we are examining: Population, with half of the participants experiencing all conditions None of these One sample, with each participant experiencing all conditions Two or more samples, with each participant experiencing one condition
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In within-group design, we are examining:
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Population, with half of the participants experiencing all conditions |
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None of these |
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One sample, with each participant experiencing all conditions |
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Two or more samples, with each participant experiencing one condition |
The study is about within-group design.
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- Returning to a previously described scenario: Suppose that a scientist is interested in determining if the proportion of females who prefer Diet Coke to regular Coke is different from the proportion of males who prefer Diet Coke to regular Coke. They randomly sample 219 people and ask them if they prefer Diet Coke to regular Coke, and also record if they are a male or a female. Their study results in the following table: males females total sample size 112 107 219 number of successes 56 73 129 sample proportion 0.50 0.68 0.59 What differences in sample proportions would be considered “as or more unusual” if the null hypothesis is true (i.e. further away from the hypothesized difference than the observed difference is from the hypothesized difference)? To be clear we are referring to absolute difference regardless of if it is negative or positive. Differences greater than 0.18 Differences greater than 0…Highway Signs. A driver’s ability to detect highway signs is an important consideration in highway safety. In his dissertation Highway Construction Safety and the Aging Driver (1994), Solomon Younes investigated the distance at which drivers can first detect highway caution signs. This distance is called the detection distance. An experiment was conducted to determine the effects that sign size and sign material have on detection distance. Four drivers were randomly selected for each combination of sign size (small, medium, and large), and sign material (1, 2, and 3). Each driver covered the same stretch of highway at a constant speed during the same time of day, and the detection distance (in feet) was determined for the driver’s assigned caution sign. The data in the following table are based on the results of the experiment. a. the response variable b. the factors c. the levels of each factor d. the number of treatment combinations e. the experimental units f. the number of…Fishing: Northern Pike Athabasca Fishing Lodge is located on Lake Athabasca in northern Canada. In one of its recent brochures, the lodge advertises that 75% of its guests catch northern pike over 20 pounds. Suppose that last summer 64 out of a random sample of 83 guests did, in fact, catch northern pike weighing over 20 pounds. Does this indicate that the population proportion of guests who catch pike over 20 pounds is different from 75% (either higher or lower)? Use a = 0.05. (c) Find the P-value of the test statistic. Sketch the sampling distribution and show the area corresponding to the P-value.
- Kim Kardashian is interested in studying the phenomenon of selfies more deeply. She randomly selects 20 of her Instagram followers' feeds. For each selected feed, she records the number of selfies posted in the past year and the number of people in the foreground of the picture. What is the sample of this study? Question 2 options: 1) The 20 feeds that she analyzed 2) The Instagram feeds of all of Kim's followers 3) All Instagram users 4) All people who take selfiesIn each scenario, identify the population, the sample, and any population parameters or sample statistics that are given. US realtors across the country are encouraged by the latest reports on the real estate market. Considering seasonal factors, sales rose by nearly 9% in the West, 3.5% in the South, 3.4% in the northeast, and 1% in the Midwest.Are these samples independent or paired? Part 1 of 2 A group of eight individuals with high cholesterol had their cholesterol levels measured before the morning meal. Another group of eight individuals with high cholesterol had their cholesterol levels measured before the evening meal. The samples are (Choose one) ▼ Part 2 of 2 A group of eight individuals with high cholesterol had their cholesterol levels measured in the morning and in the evening for one week. The samples are (Choose one) ▼ X independent paired
- Hospital Stays. The U.S. National Center for Health Statistics collects data on length of stay in noninstitutional, short-stay hospitals by sex and age. Results are published in Vital and Health Statistics. Independent random samples of Americans were taken to compare the lengths of stay (in days) for males and females in four age groups (15–24 years, 25–34 years, 35–44 years, and 45–64 years). The data are in the following table. a. the response variable b. the factors c. the levels of each factor d. the number of treatment combinations e. the experimental units f. the number of observations for each treatment combination g. the experimental factors, if any h. the classification factors, if any i. whether the study is a designed experiment or an observational studyThe Women’s Institutional Studies group at a Midwestern university wanted to compare the percentages of female faculty members in the various units on campus in Spring 2004. Of particular interest were the percentages of female faculty in the College of Education and in the College of Business . In a sample of 80 College of Education faculties, there were 36 females, and in a sample of 70 College of Business faculties, there were 15 females. Based upon this sample information, which of the following is the 98% confidence interval for the difference in the actual percentages of female faculty between College of Education and College of Business ? a. (0.075, 0.405). b. (0.123, 0.357). c. (-0.012, 0.252). d. (0.058, 0.422). e. (0.101, 0.379).the sample space s= ( E1,E2,E3,E4,E5,E6,E7,E8,E9,E10,E11) and A=(E5,E6,E7,E8) and B=(E5,E7,E9,E11) what is A interaction B? what is the A union of A and B?
- Hypnosis. A sample of 100 people was separated into children and adults. The members of each group were randomly assigned to two different hypnosis exercises. The responses of each person were recorded at the completion of the experimentVitamin E and the Risk of Prostate Cancer: Klien et al (2011) conducted the following study to determine the effect of vitamin E and selenium treatment on the risk of developing prostate cancer in healthy men. A total of 34,887 men from different study sites in the United States, Canada, and Puerto Rico were randomly selected. To be eligible to participate, the men had to take a rectal examination that showed he was not suspicious of having prostate cancer and be aged 50 years or older for black men and 55 years or older for all others. Each man was randomly assigned to receive one of four treatments: selenium, vitamin E, selenium and vitamin E together, or a placebo. The men were followed up after 8 years to see if they had developed prostate cancer or not. The main question of interest is to determine if the risk of developing prostate cancer differs by the treatment taken. The data are summarized in the table below: No Prostate Cancer Prostate Cancer Total Selenium 8,752 8,737 8,702…Dataset: NES. Variables: spend8, nesw.) The NES dataset contains spend8, which records the number of government policy areas where respondents think spending should be increased. Scores range from 0 (the respondent does not want to increase spending on any of the policies) to 8 (the respondent wants to increase spending on all eight policies). The NES, of course, polls a random sample of U.S. adults. In this exercise you will analyze spend8 using the Analyze ▶ Compare Means ▶ One-Sample T Test procedure. You then will draw inferences about the population mean. Make sure you weight observations using the nesw variable so your results are nationally representative. A. The spend8 variable has a sample mean of ______.
