Solved by a verified expert:1.
following are body mass index (BMI) scores measured in 12 patients who are free
of diabetes and participating in a study of risk factors for obesity. Body mass
index is measured as the ratio of weight in kilograms to height in meters
squared. Generate a 95% confidence interval estimate of the true BMI. 25 27 31
33 26 28 38 41 24 32 35 40
the data in Problem #1. How many subjects would be needed to ensure that a 95%
confidence interval estimate of BMI had a margin of error not exceeding 2
3. A clinical trial is run to investigate the
effectiveness of an experimental drug in reducing preterm delivery to a drug
considered standard care and to placebo. Pregnant women are enrolled and
randomly assigned to receive either the experimental drug, the standard drug or
placebo. Women are followed through delivery and classified as delivering
preterm (< 37 weeks) or not. The data are shown below. Preterm Delivery Experimental Drug Standard Drug Placebo Yes 17 23 35 No 83 77 65 Is there a statistically significant difference in the proportions of women delivering preterm among the three treatment groups? Run the test at a 5% level of significance. 4. Consider the data presented in problem #4. Previous studies have shown that approximately 32% of women deliver prematurely without treatment. Is the
proportion of women delivering prematurely significantly higher in the placebo
group? Run the test at a 5% level of significance.
5. A study is run comparing HDL cholesterol levels
between men who exercise regularly and those who do not. The data are shown
6. A clinical trial is run to assess the effects of
different forms of regular exercise on HDL levels in persons between the ages
of 18 and 29. Participants in the study are randomly assigned to one of three
exercise groups – Weight training, Aerobic exercise or Stretching/Yoga – and
instructed to follow the program for 8 weeks. Their HDL levels are measured
after 8 weeks and are summarized below.
Is there a significant difference in mean HDL
levels among the exercise groups? Run the test at a
5% level of significance. HINT: SSwithin =
7. Consider again the data in problem #6. Suppose that in
the aerobic exercise group we also measured the number of hours of aerobic
exercise per week and the mean is 5.2 hours with a standard deviation of 2.1
hours. The sample correlation is -0.42.
a) Is there evidence of a significant correlation between
number of hours of exercise per week and HDL cholesterol level? Run the test at
a 5% level of significance.
b) Estimate the equation of the regression line that best
describes the relationship between number of hours of exercise per week and HDL
cholesterol level (Assume that the dependent variable is HDL level).
c) Estimate the HDL level for a person who exercises 7
hours per week.
d) Estimate the HDL level for a person who does not
8. The following data were collected in a clinical trial
to compare a new drug to a placebo for its effectiveness in lowering total
serum cholesterol. Generate a 95% confidence interval for the difference in
mean total cholesterol levels between treatments.
Mean (SD) Total Serum Cholesterol
% Patients with Total Cholesterol < 200 78.0% 65.0% 71.5% 9. A small pilot study is conducted to investigate the effect of a nutritional supplement on total body weight. Six participants agree to take the nutritional supplement. To assess its effect on body weight, weights are measured before starting the supplementation and then after 6 weeks. The data are shown below. Is there a significant increase in body weight following supplementation? Run the test at a 5% level of significance. Subject Initial Weight Weight after 6 Weeks 1 155 157 2 142 145 3 176 180 4 180 175 5 210 209 6 125 126 10. Answer True or False to each of the following a) The margin of error is always greater than or equal to the standard error. b) If a test is run and p=0.0356, then we can reject H0at ?=0.01. c) If a 95% CI for the difference in two independent means is (-4.5 to 2.1), then the point estimate is -2.1. d) If a 95% CI for the difference in two independent means is (2.1 to 4.5), there is no significant difference in means.