MPH501 2020 January Module 3 Quiz Latest

MPH501 Quantitative Methods for Public Health Application

Module 3 Quiz

Question 1Diastolic blood pressures are assumed to follow a normal distribution with a mean of 85 and a standard deviation of 12.

a.            What proportion of people have diastolic blood pressure less than 90?

b.            What proportion have diastolic blood pressures between 80 and 90?

Question 2Consider the data described in Problem 1.

a.            If a sample of 15 participants are sampled, what is the probability that their mean diastolic blood pressure exceeds 90?

b.            Describe a study you could conduct on this population using one of the qualitative data collection methods you’ve learned about previously.

Question 3The following table cross classifies women in the study by their body mass index (BMI) at 16 weeks gestation and whether they had preterm delivery.

               BMI < 30              BMI 30-34.9        BMI 35+

Preterm               320        80           120

Full Term             4700      480        300

a.            What is the probability that a woman delivers preterm?

b.            What is the probability a women has BMI <30 and delivers preterm?

c.            What proportion of women with BMI 35+ deliver preterm?

d.            Are BMI and preterm delivery independent?  Justify.

Question 4The following table displays the number of children in a local town classified as normal weight, overweight and obese by year in school.

               Normal Weight  Overweight         Obese    Total

Elementary         50           120        80           250

Middle   30           45           45           120

Junior High          50           50           40           140

High School         30           85           85           200

Total      160        300        250        710

a.            What proportion of the children are obese?

b.            What proportion of the normal weight children are in high school?

Question 5The following table summarizes data collected in a study to evaluate a new screening test for ovarian cancer.  A total of 200 women were involved in the study – 50 had ovarian cancer and 150 did not.  The results are tabulated below.

                              Ovarian Cancer  Free of Ovarian Cancer

Screening Test    Positive 28           23

               Negative              22           127

                              50           150

a.            Find the sensitivity of the screening test.

b.            Find the false positive fraction of the screening test.