Types of tests Flashcards
Pearson’s R (WHEN TO USE)
when you want to determine whether there is correlation between two numerical variables
One-sample T-test (WHEN TO USE)
testing a sample against a known population/hypothesized mean
Paired-samples T-test (WHEN TO USE)
when the same people are being measured at different times (or the subjects are meaningfully paired)
Independent-samples T-test (WHEN TO USE)
comparing the means of separate and unreleated sample means
Chi-squared test (WHEN TO USE)
to examine the independence of two variables where the DV is categorical
One-way ANOVA (WHEN TO USE)
determines whether there are significant differences among the means of 3 or more independent groups
One & Paired-sample T-tests (HYPOTHESIS)
H0: μ = (population mean)
H1: μ > or < or ≠ (population mean)
Independent-samples T-test (HYPOTHESIS)
H0: μ_1 = μ_2
H1: μ_1 > or < or ≠ μ_2
Chi-squared test (HYPOTHESIS)
H0: μ_1 = μ_2
H1: μ_1 ≠ μ_2
One-way ANOVA (HYPOTHESIS)
H0: μ_1 = μ_2 = μ_3
H1: μ_1 ≠ μ_2 ≠ μ_3