STATS

Question 1

Associate with the correct definition

A) refers to the proportion of people with a particular condition who end up dying from the same condition.

B) the proportion of people dying from a particular disease from the general population.

C) the proportion of observed deaths due to a particular disease in a group of people who are exposed to a risk factor (e.g., smoking, alcohol use) to the expected number of deaths due to the same disease in a similar/matched group of people who are not exposed to the risk factor.

D) the proportion of people who develop a disease out of the population at risk for the disease.

options: mortality rate, case fatality rate, standardized mortality rate, attack rate

Answer 1

A. case fatality rate
B. mortality rate
C. standardized mortality rate
D. attack rate

Question 2

What types of variables are being studied for these types of correlations:
Pearson’s r
Spearman’s rho

Answer 2

Pearson’s r: continuous variable
Spearman’s rho: discrete, rank order variable

Question 3

What percent of data is within:
+/- 1 s.d. from the mean
+/- 2 s.d. from the mean

Answer 3

+/- 1 s.d. from the mean: 68% (34)
+/- 2 s.d. from the mean: 95% (13)

Question 4

What is difference between Type 1 (alpha) and Type 2(beta) error?

Answer 4

Type 1 error: rejecting null hypotheses when null hypotheses is true
—–getting a significant result when there isn’t one
—-concluding difference between groups is due to experimental effect when its just due to random fluctuation

Type 2 error: accepting null hypotheses when alternative hypotheses is true
—-failing to get significant result when one is actually present
—-saying difference betweengroups is due to change when its really due to experimental effect