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Question 1:

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.

 

New Drug (n=75)

Placebo (n=75)

Total Sample (n=150)

Mean (SD) Total Serum Cholesterol

185.0 (24.5)

204.3 (21.8)

194.7 (23.2)

% Patients with Total Cholesterol < 200

78.0%

65.0%

71.5%

(-26.66, -11.94) or (11.94, 26.66)

(-29.00, -13.98) or (13.98, 29.00)

(-24.95, -11.25) or (11.25, 24.95)

(-28.75, -10) or (10, 28.75)

Question 2:

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

Using this data, generate a 95% confidence interval for the difference in proportions of women delivering preterm in the experimental and standard drug treatment groups.

(-0.255, 0.02) or (-0.02, 0.255)

(-0.18, 0.09) or (-0.09, 0.18)

(-0.17, 0.05) or (-0.05, 0.17)

(-0.15, 0.10) or (-0.10, 0.15)

Question 3:

A clinical trial is run to evaluate the effectiveness of a new drug to prevent preterm delivery.  A total of n=250 pregnant women agree to participate and are randomly assigned to receive either the new drug or a placebo and followed through the course of pregnancy.   Among 125 women receiving the new drug, 24 deliver preterm and among 125 women receiving the placebo, 38 deliver preterm.  Construct a 95% confidence interval for the difference in proportions of women who deliver preterm.

(-0.35, 0.07) or (-0.07, 0.35)

(-0.1, 0.09) or (-0.09, 0.1)

(-0.22, 0.00) or (0.00, 0.22)

(-0.43, 0.2) or (-0.2, 0.43)

The following table shows the distribution of BMI in children living in US and European urban neighborhoods.  (The data are in millions.)

Neighborhood

Normal Weight

Overweight

Obese

US

125

50

40

Europe

101

42

21

What proportion of children living in a European urban neighborhood is overweight?

Question 4: The following table shows the numbers of patients classified as underweight, normal weight, overweight and obese according to their diabetes status.

 

Underweight

Normal Weight

Overweight

Obese

Diabetes

8

34

65

43

No Diabetes

12

85

93

40

What proportion of normal weight patients is not diabetic?

Question 5: What is the best type of graph to display the following data?

Region of country:  New England, New England, South, West, New England, Mid-Atlantic, Mid-Atlantic, New England, New England, South, New England, New England, Midwest, New England, Mid-Atlantic, Mid-Atlantic, New England, West

1)Boxplot

2)Scatterplot

3)Side-by-side boxplot

4)Bar graph

Is Bar graph the correct answer?

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