What was the prevalence of diabetes in 2012

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Reference no: EM132650564

Question 1:
1. Provide descriptive statistics for each of the samples Separately mean, standard deviation, median, IQR, Q1, Q3, range, min and max.

2. Which of the two measures of central tendency, mean or median, is more appropriate for summarizing each of these samples? What measure of dispersion is more appropriate for each?

3. Using the Tukey fences method, are there outliers in either sample? If so, what values are outliers? Show your calculations.

Question 2:
Using the data in Question 1, create frequency histograms for each of the samples that will allow you to compare the distribution of the data in each group.

Please format and label the histograms as described in the lecture, and consistent with the examples in the Sullivan text (e.g., Figures 4-6 through 4-10).

Hint: Even though the datasets are small, you should have at least 4 "bins" of data for each dataset.

Question 3:
In an assisted living facility, a program was launched in 2012 to assess the extent to which its residents were affected by diabetes. Each resident had a blood test, and 61 of the 300 residents met diagnostic criteria for diabetes. Residents who did not already have diabetes were again tested in 2016, with 91 meeting criteria for the disease.
1. What was the prevalence of diabetes in 2012?
2. What was the cumulative incidence of diabetes in this group over 4 years?
3. What was the prevalence of diabetes in this facility in 2016, assuming that no one from the 2012 group had died or left the nursing home?

Question 4:
The relative task of developing lung cancer among individuals who smoke is 15.0. Which of the following is the most accurate interpretation of this information?

Individuals who smoke are 15.0 times more likely to develop lung cancer than individuals who do nol smoke. Individuals who smoke are 15.0% more likely to develop lung cancer than individuals who do not smoke.

Individuals who have lung cancer are 15,0 times mince likely to smoke than in ividimts who do not have lung cancer.
Individuals who have lung cancer are 15.0% more likely to smoke than individuals who do not have lung cancer.

Question 5:

In which situation would it be most appropriate to use the mean of the set of numbers to describe the data set instead of the median?

152- 157, 159, 163, 164. 165, 276
801. 899, 996, 912. 915. 917. 919
57.847. 859, 866, 866.872
165, 165, 177, 178. 186. 199, 211

Question 6:
The following are body mass rides (BMI) scores measured in 12 patients who as free of diabetes and participating in a study of risk factors Inc obesity. Body mass index is calculated as the ratio of weight (kg) to height (m2)

Litany the following data. compute the mean BMI, the standard deviation of BMI, the median BMI and the Q1 and Q3. Are there outliers in the distribution of BMI? Justify your answer using Turkey fences.
25 27 30 33 76 28 38 41 24 32 35 49

Question 7:

Consider the following statements, A and B:
A. Incidence estimates the likelihood of developing a given disease among a group of participants free of the disease who are considered at risk of developing the disease over a specified observation period
B. Prevalence estimates the proportion of people who have a given disease at a point in time.
Which of the following is correct:
0 Statement A is true and Statement B is false

Question 8:
A researcher investigated the effectiveness of training primary care medical providers on how to do risk screenings for substance use with their youth patients. Providers were randomly assigned either to a standard training approach (lecture about risky adolescent behaviors) or an enhanced training approach (role plays and reading through realistic case scenarios). There were 20 providers assigned randomly to each group.
Six months after the training, a random sample of youth patient records were examined and the percent of youth patients who had received a risk screening during their visit was noted. These data were used to create a "screening score" for each provider that could range from 0 to 100 percent. The distributions of provider screening score are below.

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Reference no: EM132650564

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