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Question 1

Contingency analysis?

Answer 1

Associations between categorical variables.

Question 2

Contingency analysis tests?

Answer 2

•Independence of two or more categorical variables (H0: variables are independent, H_a: variables are not independent)

Question 3

Methods to test contingency analysis? 2•

Answer 3

•chi^2 contingency analysis
•Fisher’s exact test when expected values are too small for chi^2 test.

Question 4

Fisher’s exact test?

Answer 4

Only for 2x2 contingency analysis (only 2x2 categorical variables), and makes no assumptions about the size of expectations. It calculates the exact probability under the null hypothesis of getting data as extreme or more extreme than the observed data.

Question 5

Odds?

Answer 5

The probability of success divided by the probability of failure.

Question 6

Odds ratio?

Answer 6

The odds of success in one group divided by the odds of success in another group.

Question 7

About 2/3 of random draws from a normal distribution are within one standard deviation of the mean. What is the probability of it?

Answer 7

68.3%

Question 8

Two standards deviation (really 1.96) from the mean in a normal distribution of random draws have a probability of?

Answer 8

95%

Question 9

Standard normal distribution? 2•

Answer 9

•mean is 0
•standard deviation is 1

Question 10

Is it possible to convert a general normal distribution into a standard normal distribution?

Answer 10

Yes

Question 11

!!!!!The sample mean of a standard normal distribution is equal to?

Answer 11

The true mean of the population.