t tests

Question 1

t tests impractical for large samples

Answer 1

false

Question 2

t tests are suitable for small samples

Answer 2

true

Question 3

t tests are calculate using

Answer 3

normal distribution

Question 4

t test requires

Answer 4

same about of obs in each group

standard deviation must be aprox in the each group

Question 5

correlations work well with

Answer 5

scale data

Question 6

correlation with no parametric data is

Answer 6

spearman (can be used fir ordinal too)

Question 7

chi squared calculates

Answer 7

difference between observed and expected and then compares that to the chi-squared distribution

Question 8

in regression you are asking

Answer 8

how does this independent variable affect the dependent variable

you have to define which one is the independent variable and which one is the dependent

Question 9

anova means

Answer 9

analysis of variance…. it is a collection of t tests

Question 10

2 tailed test

Answer 10

more general less powerful ….. half the significance value

Question 11

1 tailed test

Answer 11

more specific more powerful

Question 12

hazard ratio

Answer 12

prob of events in the treatment group/ prob of events in control group, measure at a certian timepoint

Question 13

hazard ratio example

Answer 13

if the event was death, an HR of 3 would mean that at a particular timepoint ,patients are 3 times more likely to die in the treatment arm than the control arm

Question 14

risk ratio

Answer 14

same as time hazard w/o time info

Question 15

odd ratio

Answer 15

ratio of the prob of an event ÷ prob of not getting the event.

Question 16

How to report statistics

Answer 16

report mean and measure of variability (ie mean and sd)
Report inferential (Hypothesis) tests.