# KIN 3982 Lecture Notes - Lecture 8: Pearson Product-Moment Correlation Coefficient, Null Hypothesis, Observational Error

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For unlimited access to Class Notes, a Class+ subscription is required. Statistical Testing
Wednesday, February 27, 2019
2:33 PM
Null Hypothesis:
The null hypothesis states that there are no differences between groups
o Goal of the study is to reject the null hypothesis
o Do significance testing to determine if you can reject the null hypothesis
o Reject the null hypothesis when p<0.05
o Where does the 0.05 come from?
If the statistics reveal that there is a 95% chance that the null
hypothesis is false, then p is said to be 0.05
Chi Square: analysis used when dependent variable is categorical
Determine if the distribution to groups is due to changes in the independent
variable or random error
Overview of Data Analysis:
Tests of relationship (e.g., regression)
o Typically used for surveys
Statistical tests of difference (e.g., ANVOA, t-test)
o Typically used for experimental designs
Correlation (Typically Surveys)
Definition: quantify the relationship between two variables
"r" is Pearson's product moment correlation coefficient
Values vary between +1 to -1 (0 is no relationship_
Positive - high score on one variable related to high score on the other
variable
Negative (inverse relationship)- low score on one variable related to high
score on the other variable or vice versa
1 or negative 1 = 1 perfect relationship
R squared r and you get the percentage variance accounted for by the
relationship
Regression
Bivariate regression: how well one variable predicts the value of a second
variable (i.e., dependent or criterion variable)
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