r they related?
symbolized by the letter r this statistic is used to describe the relationship between 2 variables.
Pearsons correlation
Equation for a line
Y=mX+b
Abbreviated H0 this hypothesis says there nothing to see here.
Null Hypothesis
Compares the means of two unrelated groups.
Independent t test
Describe the relationship r = 0.095
Trivial/Nothing
Also known as an indirect relationship this relationship is caused when x and Y vary in opposite directions.
Negative
Statistic that represents the standardized error of your prediction.
Standard Error of Estimate (SEE)
Opposite of the Null hypothesis
Alternative Hypothesis
Compares means of a dependent variable between two paired groups or measurements.
dependent or paired t test.
Describe the relationship r = 0.783
Strong positive
Correlation coefficients tell us these two things about a relationship
size/strength and direction
In linear prediction the regression line is used to predict a unknown Y variable for a known _____ variable.
X
p = 0.0567 - Accept or reject?
Accept!
Measure of practical significance when comparing two means.
Effect size
Tests used after the main AVOVA turns up statistically significant.
post hoc
If you look enough you’ll find relationships. Type I error in correlation analysis is termed what?
Spurious correlation
Calculated as the sd Y multiplied by the sqrt of 1-the r squared.
SEE
Reject Null when Null is correct, what type?
Type I
In addition to having normally distributed data, this is an assumption of the independent t test.
Equal variance OR homogeneity of variance
ANOVA used to compare means of a single dependent variables between independent groups
One-Way ANOVA
Squaring your correlation coefficient created R2 statistic also known as
Coefficient of determination
The difference between the prediction/regression line and the actual data is termed
Residual scores
Most common critical alpha in our field.
0.05 or 95%
p = 0.034 - Accept or Reject?
Reject!
ANOVA main effect is p > 0.05 your next step is?
Accept the Null / Do nothing