statistic

Question 1

Nominal data vs Ordinal data

Answer 1

Nominal data: There is no intrinsic right order of categories. Note: binary data is an example of nominal data
Ordinal data: there is an intrinsic order to the categories

Question 2

Discrete data vs Continuous data

Answer 2

Discrete data: 1,2,3 children
Continuous data: 37°C, 37.1°C, 37.15°C,

Question 3

histograms of continuous data display how many subjects had values within specific intervals of the possible ranges (called what?)

Answer 3

Called bins.

Question 4

unimodal vs bimodal

Answer 4

Question 5

IQR for 22, 24, 25, 28, 31, 32, 35, 38

Answer 5

IQR is the difference between the third and the first quartile: 32-24

Question 6

standard deviation (σ) vs variance

Answer 6

variance = standard deviation ^2

Question 7

bell curve (with standard deviation values)

Answer 7

Question 8

parametric tests vs non-parametric tests

Answer 8

parametric test: dependent variable has a normal distribution

Question 9

statistical test

Answer 9

Question 10

different types of regression

Question 11

linear regression, logistic regression and Cox proportional hazard

Answer 11

linear regression: identifying independent variables with an association with the dependent variable while controlling for other independent variables.
logistic regression: dependent variable is binary
Cox proportional hazard: dependent variable is time to an event:

Question 12

Violin Plots

Answer 12

Question 13

Type I Errors vs Type II Errors in statistic

Answer 13

Type I error: false-positive error
Type II Errors: false-negative error

Question 14

Effect sizes (are similar to p-values) but are less likely to be influenced by sample size.

Answer 14

True.
Example: Cohen’s d and Pearson correlation coefficient