Inference
The convention set alpha level used in quantitative research.
What is 0.05 or 5%.
A type of t-test with 2 correlated means.
What is a dependent t-test?
What of ANOVA with two between subjects factors.
What is a Factorial ANOVA?
The standardized version of the regression coefficient.
What is the beta coefficient?
The new alpha level using the Bonferroni adjustment when there are 5 comparisons during a post hoc follow up.
What is 0.01 or 1%.
The number that is on the denominator of a t-statistic calculation.
What is the standard error?
The statistic calculated using ANOVA and is an analog to the t-statistic.
What is a F-statistic?
A metric that communicates the % of Y that can be explained by variability in X.
What is the coefficient of determination or R2.
The alpha level when there is only 2 groups and one comparison during a post hoc follow up test.
What is 0.05 or 5%.
The null hypotheses for a t-test.
What is no difference between means.
The number of values that are free to vary in a statistic calculation.
An assumption of regression that assumes constant range of errors across the predicted values of Y.
What is homoscedasticity?
Statistical significance is reached when the 95% Confidence Interval of mean differences does not cross this number.
What is 0?
The type of standard error used for an independent t-test.
What is a pooled standard error?
The number of interactions in a two-way ANOVA.
What is one or 1?
The type of coding scheme used when one of our X variables is categorical within the regression model.
What is dummy coding?
What is an effect size?
The two assumptions of an independent t-test.
What is Normality of Errors and Homogeneity of Variance?
The assumption specific to a repeated measures ANOVA design with 3 or more time-points.
What is sphericity?
The assumption of No Multicollinearity can be assessed with these two metrics.
What is Variance Inflation Factor and Tolerance.