Bistatistics

Question 1

Statistics

Answer 1

The science dealing with the systematic gathering and analysis of data in medical forms

Question 2

Bistatistics

Answer 2

Applications of statistics in biology, Medicine, and public health

Question 3

Dichotomous

Answer 3

Two categories Example: Affected (positive) unaffected (Negative) Also known as binary

Question 4

Ordinal

Answer 4

3 or more ranked categories Normal affected (high) severely affected (very high)

Question 5

Nominal

Answer 5

Qualitative eye color, blood groups

Question 6

Quantitative

Answer 6

Interval, ration

Question 7

Pearson test

Answer 7

Two intervals Is there a linear relationship? -1< r < 1 spearman correlation compares two ordinal variables

Question 8

Chi-square

Answer 8

2 nominal any number of groups

Question 9

T-test

Answer 9

1 interval, 1 nominal 2 groups

Question 10

One way Anova

Answer 10

1 interval, 1 nominal 2 or more groups, F-Statistic

Question 11

Match pairs t-test

Answer 11

1 interval, 1 nominal 2 groups, linked data pairs

Question 12

Repeated measures Anova

Answer 12

1 interval, 1 nominal more than 2 groups, linked data, F-statisitc

Question 13

Standar deviation

Answer 13

Population mean = mu, sd = sigma, variance = sigma squared Sample X, sd, variance = s squared

Question 14

Sample variance

Answer 14

s(squared) = 1/(n-1) * sum (Xi-X)squared

Question 15

Standard Variable (Z)

Answer 15

measures the deviation of X from the mean in terms of standard deviation Population Z = X-mu/sigma Sample Z= X-Xmean/s

Question 16

Frequency distribution

Answer 16

Qualitative or discrete: Bar Quantitative discrete: Bar, pie Continuous: Histogram, Bar Chart Tren: Quantitative: Line

Question 17

Probability (Mutually Exclusive)

Answer 17

Combine probabilities for mutual exclusive events by addition

Question 18

If two evens are not mutually exclusive

Answer 18

Combination of probabilities is accomplished by adding the two together and subtracting out the multiplied probabilities

Question 19

Combined probabilities for independent events by multiplication

Answer 19

Events are independent if the occurrence of one tells you nothing about the occurrence of another. The issue here is the intersection of two sets.

Question 20

if events are dependent

Answer 20

Multiply the probability of one event by the probability of the second, assuming that the first has occurred