Mathematics

Question 1

What is interval data (a.k.a. parametric data)?

Answer 1

Data that can be measured numerically. May be discrete or continuous.

Question 2

What is categorical data?

Answer 2

Data that cannot be measured numerically. May be dichotomous (two possibilities), nominal (unrankable), or ordinal (ranked without a consistent scale)

Question 3

In a normal distribution, what percentage of measured values fall within 1 standard deviation of the mean? 2? 3?

Answer 3

68%
95%
99.7%

Question 4

What is type I error?

Answer 4

Falsely rejecting the null hypothesis (i.e., false positive)

Question 5

What is type II error?

Answer 5

Falsely accepting the null hypothesis (i.e., false negative)

Question 6

What is the p-value?

Answer 6

The likelihood of a type I error

Question 7

In what scenarios would you use multiple regression analysis vs. ANOVA?

Answer 7

ANOVA is more often used for categorical data

multiple regression is more often used for parametric data