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A study followed 900,000 US adults from 1992 to 2008. At baseline, all participants were screened and determined to be cancer free and their body mass index (BMI) was calculated. Body mass index is a measure of obesity that is calculated using a person's height and weight. Subjects were separated into the following groups according to their BMI: (a) normal weight, (b) slightly overweight, (c) moderately overweight and (d) greatly overweight. 57,145 deaths from cancer occurred in the population during the follow-up period.
Calculate the cumulative incidence of deaths from cancer among the study population over the follow-up period.
a. 87.5%b. 6.3%c. 15.7%d. 57.1%
Calculate all measures of central tendency for data that are interval or ratio in measurement. Calculate the standard deviation for data that are interval or ratio in measurement
in a test of the effectiveness of garlic for lowering cholesterol 45 subjects were treated with garlic in a processed
Solve linear program graphically
There is a fixed cost of $50,000 to start a production process. Once the process has begun, the variable cost per unit is $25. The revenue per unit is projected to be $45. Write a mathematical expression for total profit.
Determine the rejection region for the hypothesis Ho : mean D= 0 if H a : mean D > 0. Use a = 0.01. z>
Explain why odds of 4 to 5 in favour of an event occurring have a different meaning than the same event having a probability of 4/5.
coefficient of variation and standard deviation are two measures of dispersion or spread among the data values. lets
a psychologist would like to evaluate the relationship between academic ability as measured by the act and academic
If there are 81 fraternity members, how much should they buy so that using the normal approximation they are 93.32% sure they will not run out?
The mean difference in times between the experiment is -9.4 minutes with a standard deviation of 2.8 minutes). Construct a 90% CI for the proportion of patients who experience stomach upset with the experimental medication.
in a sample of seven cars each car was tested for nitrogen-oxide emissions in grams per mile and the following results
Could you explain the Pearson or product-moment correlation? If we were to use a partial correlation, would you want to look at the relationship between two variables while removing the effect of one or two other variables?
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