What was the power for this study?
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What was the power for this study?
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- QUESTION 3 What is the main limitation of this study? In 2009, investigators were interested in evaluating the relationship between physical activity and being overweight. Using BRFSS data, they found 100 participants in South Carolina. 69 of these participants were overweight, and the remaining 31 were not. The investigators found that 46 participants who were overweight reported low levels of physical activity. The investigators also determined that 22 participants who were not overweight reported high levels of physical activity. This type of study is expensive to carry out, and non-compliance of study participants must be dealt with in the analysis. The exposure and outcome were measured on study participants at the same time; therefore, temporality cannot be established. O The unit of observation is the group, so results cannot be assumed to apply to individuals. O The study only includes cases. There is no comparison group.Help me answer these problems : One-way ANOVA Provide the ANOVA Table for each problem. An example ANOVA table is presented below:QUESTION 2 Researchers conducted two surveys about teens are their use of social media. The first survey asked a random sample of 800 U.S. teens about their use of Instagram. A second survey asked the same questions to a random sample of 2253 Canadian teens. In these two studies, 73% of U.S. teens and 88% of Canadian teens said that they use Instagram. Use these results to answer the following questions about the proportion of U.S. and Canadian teens that use Instagram. (Round to the nearest whole hundredth as needed). What is the difference between the proportion of U.S. teens and the proportion of Canadian teens? The standard error for these two samples is and the upper limit is Using a 99% confidence level, the lower limit is
- For the description below, what would be of most concern to the researcher? A researcher uses a convenience sample from a small, private high school, but plans to generalize the conclusions of his study to all high schools in the state.Problem: An administer claims that the proportion of students who pass a particular test given to all college freshmen is 77.32%. To test the claim an SRS of size 199 test scores was collected. The sample had 74 students pass the test. Find the test statistic.Question Two.
- QUESTION 2 Using the same anti-venom study, answer the following questions. Researchers wanted to know the effectiveness of a new anti-venom. A study was conducted on 150 children who had nonlethal scorpion stings. The ages of the children ranged from 6 months to 18 years old. Each child was randomly assigned to receive a shot of the anti-venom or a placebo shot. Researchers recorded whether or not their condition improved over the next four hours. a. Identify the population for the study.b. Identify the sample for the study.c. Was this an observational study or a controlled experiment? Explain how you know.d. Assuming the rest of the study was well-designed, use the percentages you calculated in question 1 and the type of study conducted to discuss whether it would be reasonable to conclude that the new anti-venom is effective at treating nonlethal scorpion stings in children.During a particularly dry growing season in a southern state, farmers noticed that there is a delicate balance between the number of seeds that are planted per square foot and the yield of the crop in pounds per square foot. The yields were the smallest when the number of seeds per square foot was either very small or very large. The data in the table show various numbers of seeds planted per square foot and yields (in pounds per square foot) for a sample of fields. A 2-column table with 15 rows. Column 1 is labeled number of seeds (per square foot) with entries 28, 75, 30, 43, 71, 35, 40, 59, 66, 79, 85, 81, 16, 33, 16. Column 2 is labeled yield (pounds per square foot) with entries 131, 171, 132, 166, 169, 150, 161, 183, 173, 161, 147, 157, 86, 145, 86. Which scatterplot represents the seed and yield data? A graph titled number of Seeds and Crop Yield has seeds (per square foot) on the x-axis, and yard (pounds per square foot) on the y-axis. The points curve up to a point, and…Question 1 W Show all your work. Indicate clearly the methods you use, because you will be scored on the correctness of your methods as well as on the accuracy and completeness of your results and explanations. A marketing director for a beverage company conducted a study to investigate people's soda preferences in two regions of the country. The director selected a random sample of 100 people from the east coast and a random sample of 100 people from the west coast to survey. The responses are summarized in the following table. East Coast West Coast Regular soda 44 37 Diet soda 39 42 No preference 17 21 Total 100 100 Do the data provide convincing statistical evidence, at the level of a = 0.05, that the preferences are different between the two regions of the country? Complete the appropriate inference procedure to support your answer.
- Body Fat. Where we considered the regression of percentage of body fat on nine body measurements: height, weight, hip, forearm, neck, wrist, triceps, scapula, and sup. Describe and discuss problems that could have arisen in the collection of the data for this regression analysis.Only the question 5 and 6 need to be resolved. Others have been reaolved already. Question: sample of 15, 10 years old children was taken to study whether watching television reduces the amount of physical exercise, causing weight gains. The number of kilograms each child was overweight by was recorded (a negative number indicates the child is underweight). In addition, the number of hours of television viewing per week was also recorded. These data are listed in the table below. Television(hours) 42 34 25 35 37 38 31 33 19 29 38 28 29 36 18 Overweight (Kg) 8 3 0 0 6 6 3 3 -4 4 4 2 1 6 -3 Use an appropriate plot to investigate the relationship between Television(hours) and Overweight (KG). Briefly explain the selection of each variable on the X and Y axes and why? Calculate and interpret the coefficient of correlation (r) between Television(hours) and Overweight (KG).…sub parts 1-3
