correlation

Question 1

correlation

Answer 1

degree to which scores on two variables corelate

Question 2

coefficient

Answer 2

(r) index of the extent to which 2 variables are linearly correlated

Question 3

person’s product moment correlation coefficient

Answer 3

default

Question 4

z value

Answer 4

(x-u)/SD

observed value - mean / SD

Question 5

reporting the results of C

Answer 5

f(df)= p=

Question 6

df in correlation

Answer 6

n-2

because always have two variables in correlation

Question 7

assumptions of pearson

Answer 7

uses size of scores
2 variables must be measured on interval scales
2 variables must be linearly related

Question 8

spearmans rank

Answer 8

(rs) used when scatterplot indicates the relationship is MONOTONIC but NON LINEAR (and when there are OUTLIERS)
also when have ORDINAL data

Question 9

monotonic

Answer 9

relationship but non linear- like curved

Question 10

parsons would …….. a monotonic relationshup

Answer 10

underestimate
because it’s looking for a straight line
type II error

Question 11

non monotonic

Answer 11

v or inversed (u shaped)
neither ranked nor raw would work
split data in half

Question 12

partial correaltion- when

Answer 12

when want to control for effect of third variable based on theoretical assumption

Question 13

df for partial correlation

Answer 13

n-1

Question 14

reporting partial correlation

Answer 14

partial c was conducted to test the strength of the relationship between x and y after controlling for z
pos neg sig r(df)= ,p=

Question 15

pearsons would …… when there is a cluster on data and then 1 outlier

Answer 15

overestimate because straight line could be drawn.