An experimenter wants to study the relationship between type of milk and infant growth in underdeveloped countries. She randomly assigns 300 infants to either a breast-feeding group or an infant formula group. She then weighs the infants every three days for the first four weeks of life.
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An experimenter wants to study the relationship between type of milk and infant growth in underdeveloped countries. She randomly assigns 300 infants to either a breast-feeding group or an infant formula group. She then weighs the infants every three days for the first four weeks of life.
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- Fifteen adult males between the ages of 35 and 50 participated in a study to evaluate the effect of diet and exercise on blood cholesterol levels. The total cholesterol was measured in each subject initially and then three months after participating in an aerobic exercise program and switching to a low-fat diet. The data are shown in the following table.A study was developed to evaluate effectiveness of a weight loss diet plan. An ad was placed in two towns to locate study participants who were to follow the diet. In Town A, the clinicians asked each dieter to report how much weight they had lost over the previous 6 weeks while following the diet. In Town B, the clinicians weighed each dieter at the beginning of the study and again after 6 weeks on the diet program. The weight lost was calculated as the difference between the beginning weight and the weight after 6 weeks. At the end of the study, it was determined that Town B had lost significantly less weight than Town A. 1.What is the population of interest in this situation? 2. Identify source(s) of bias in this study.A researcher assessed the effects of a new drug on migraine headaches. One sample of migraine sufferers received a placebo pill (0 milligrams of the drug) every day for a month. A second sample received a 10-mg dose of the drug daily for a month, and a third sample received daily doses of 20-mg. The number of headaches each person had during the month was recorded. The results are summarized in the following table: What is the independent variable (IV)? How many levels do we have for the IV? What is the level of measurement for the IV? What is the DV (remember, the DV is the data)? What is the level of measurement of the DV? What is the best graph to display this data? Explain. Construct a graph (by hand) that incorporates all the information in this table. Looking at your graph, do you think that the new drug treatment really worked. Explain your answer.
- A wildlife biologist was interested in determining the effect of raising deer in captivity on the size of the deer. She decided to consider three populations: deer raised in the wild, deer raised on large hunting ranches, and deer raised in zoos. She randomly selected eight deer in each of the three environments and weighed the deer at age 1 year. The biologist hypothesized that the weights of deer from captive environments would have a larger level of variability than the weights from deer raised in the wild. a) what is the null hypothesis? What is the alternate hypothesis? b) what statistical test should she use to test her hypothesis? What assumptions are associated with the test?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.A randomly sampled group of patients at a major U.S. regional hospital became part of a nutrition study on dietary habits. Part of the study consisted of a 50-question survey asking about types of foods consumed. Each question was scored on a scale from one (most unhealthy behavior) to five (most healthy behavior). The answers were summed and averaged. The population of interest is the patients at the regional hospital. The current survey was implemented after patients were subjected to this education, and it produced the following sample statistics for 25 patients sampled: and s = 1.02. We would like to know if the education improved nutrition behavior. We test the hypotheses H 0: = 2.9 versus Ha: > 2.9. The value of the t test is 1.96, and: a. P-value > 0.1. b. 0.025 P-value < 0.05. c. 0.25 P-value < 0.01. d. 0.05 P-value < 0.1. Given the least squares regression line y = 3 x – 3, which of the following is true? a. The…
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