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One-Sample t-test
Compare ONE sample mean to a known/hypothesized mean
Two-Sample t-test (Independent Samples)
Compare means between TWO different groups
Paired t-test
Compare before/after or matched pairs on the SAME individuals.
Chi-Square Test (Independence or Goodness-of-Fit)
Analyze CATEGORICAL frequencies, not means.
Correlation
Measure relationship (association) between two numeric variables.
Regression
Predict Y using X, interpret slope + R².
One-Way ANOVA
Compare means across 3+ groups.
“A biologist measures the average weight of 30 frogs to see if it differs from the published average of 12 g.”
Test: One-sample t-test
“Compare average heart rate between frogs exposed to caffeine vs frogs not exposed.”
Test: Two-sample t-test
“Measure the same frogs before and after a diet to see if their weights changed.”
Test: Paired t-test
“Do male and female birds choose perches in different proportions?”
(Data presented as counts: 20 males on perch A, 15 on perch B, etc.)
Test: Chi-square test
“Does wing length correlate with flight speed?”
Test: Correlation
“Does temperature predict metabolic rate?”
Test: Regression
“Compare plant growth among three soil types.”
Test: One-way ANOVA
“Are observed color frequencies of beetles (red: 20, green: 15, brown: 5) consistent with a 1:1:1 expected ratio?”
Test: Chi-square goodness-of-fit
“You collect lizard sprint speeds from four islands and want to see if the island affects speed.”
Test: One-way ANOVA
“Determine whether body length predicts aggression score.”
Test: Regression
One sample mean compared to a known reference value → What test?
One-sample t-test
Two independent groups, comparing averages → What test?
Two-sample t-test
Same subjects measured twice → What test?
Paired t-test
Data are counts / categories, not numeric means → What test?
Chi-square test
Two numeric variables, measuring association only → What test?
Correlation
Predict Y from X; interpret slope and R² → What test?
Regression
Compare means of 3 or more groups → What test?
One-way ANOVA
Testing whether observed counts match expected proportions → What test?
Chi-square goodness-of-fit