Imagine that in one week, 300 people are infected with a novel pathogen. Researchers predict that this number will increase by 35% in the next week as preventative measures are slowly implemented. If their predictions are correct, how many infected individuals will there be after the second week?

In 1960 the prevalence of type 2 diabetes was 10 per 1,000 people in the population and by 2010 the prevalence had changed to 60 per 1,000 people in the population. What was the percent change?

Calculate the mean for the following data: 45; 47; 47.5; 51, 53.5; 125

All of the following are equivalent expressions EXCEPT:
^ represents "to the power of"

According to the Massachusetts Department of Public Health, the frequency of HIV seropositivity in 2003 was 0.00145. How would this frequency be expressed as a percent?

460,000 in scientific notation is:
^ represents "to the power of"

The prevalence of disease X in Population A is 0.025. This is the same as:

Round the number 247.785 to the nearest tenths place.

A randomized clinical trial was conducted to test the effectiveness of low-dose aspirin in preventing heart attacks. Subjects were randomly assigned to receive either low-dose aspirin or an inactive placebo. There were 10,115 subjects in the aspirin group, and, after 5 years of observation, there had been a total of 10 fatal heart attacks in this group. What was the proportion of having a fatal heart attack in the aspirin group? Round your answer to the number of (whole) subjects per 10,000.

A study was conducted to assess a new screening test for breast cancer. 64,810 women participated in the study; 177 women were ultimately found to have had breast cancer while 64,633 remained free of breast cancer during the observation period. Among the 177 women with breast cancer, 132 had a positive screening test but 45 of the women with breast cancer had negative tests. What was the probability of a positive screening test among women who truly had breast cancer?