stat tests

Question 1

unrelated, nominal

Answer 1

chi-squared

• calculated value of X^2 equal to or more than critical value

Question 2

related, nominal

Answer 2

sign

• s equal to or less

Question 3

correlation, nominal

Answer 3

chi-squared

• calculated value of X^2 equal to or more than critical value

Question 4

unrelated ordinal

Answer 4

mann-whitney

• calculated value of U must be equal or less than

Question 5

related ordinal

Answer 5

wilcoxon

• calculated value of T is sum of less frequent signs
• must be equal to or less than critical value

Question 6

unrelated correlation

Answer 6

spearman’s rho

• rho must be equal to or more than

Question 7

unrelated interval

Answer 7

unrelated t-test

• calculated value of t must be equal to or more than the critical value

Question 8

related interval

Answer 8

related t-test

• calculated value of t must be equal to or more than the critical value

Question 9

correlation interval

Answer 9

pearson’s r

• equal to or more than

Question 10

three things for stat tests

Answer 10

difference or correlation

experimental design

level of measurement

Question 11

levels of measurement

Answer 11

quantitative data can be classified into types or levels of measurement - nominal, ordinal or interval

Question 12

parametric tests

Answer 12

pearson’s r
related t-test and unrelated t-test

• relies upon the assumption that the data you want to test is (or approximately is) normally distributed

Question 13

measures of central tendency and dispersion

Answer 13

nominal
central tendency - mode
dispersion - n/a

ordinal
- median
- range

interval
- mean
-standard deviation

Question 14

how to tell types of study

Answer 14

if has two groups then looking at a difference

if theres different people involved then its unrelated - eg just doesnt mention matching

Question 15

degrees of freedom

Answer 15

pearson’s r = N-2
related t-test = N-1
ulrelated t-test = NA + NB - 2

Question 16

correlation coefficient strengths

Answer 16

Very weak or negligible correlation: 0 to 0.1 or -0.1 to 0
Weak correlation: 0.1 to 0.3 or -0.1 to -0.3
Moderate correlation: 0.3 to 0.5 or -0.3 to -0.5
Strong correlation: 0.5 to 1 or -0.5 to -1

Question 17

degrees of freedom calculation - fun - pearsons

Answer 17

Pearson’s correlation:
Mnemonic: “Partners in Crime”
Explanation:
Count the number of paired observations.
Subtract 2 from the total number of pairs to calculate the degrees of freedom.

Question 18

degrees of freedom calculation - fun - related t-test

Answer 18

Related t-test:
Mnemonic: “Time to Compare”
Explanation:
Count the number of pairs or matched observations.
Subtract 1 from the total number of pairs to calculate the degrees of freedom.

Question 19

degrees of freedom calculation - fun - unrelated t-test

Answer 19

Unrelated t-test:
Mnemonic: “Two Worlds Collide”
Explanation:
Count the number of participants in each group.
Add up the number of participants from both groups.
Subtract 2 from the total number of participants to calculate the degrees of freedom.

Question 20

degrees of freedom calculation - fun - chi-sequared

Answer 20

Mnemonic: “Row-Column Dance”

Explanation:
Count the number of rows and columns in the contingency table.
Subtract 1 from the number of rows (R) and 1 from the number of columns (C).
Multiply the results: df = (R - 1) x (C - 1).