Selecting Statistics
Number of variables in hypothesis | Type of variable A (independent or predictor variable) | Type of variable B (dependent or criterion variable) | Between or within subjects design? | Number of levels of independent or predictor variable? | Test statistic | Sample hypothesis |
one | N/A | qualitative (or categorical) | Between | Any | Chi square | Psychology majors are more likely to be females than males |
One | N/A | quantitative (or continuous) | Between | N/A | One sample t-test | Undergraduate students, on average, are over 17 years old |
Two | qualitative | qualitative | Between | Any | Chi square | Psychology majors are more likley to be females than males, while physics majors are more likely to be males than females |
Two | quantitative | quantitative | Between | N/A | Correlation | The more chocolate people eat, the happier they are |
Two | qualitative | quantitative | Between | two | Independent samples t-test | People who eat chocolate every day are happier than people who never eat chocolate |
Two | qualitative | quantitative | Within | two | Paired samples t-test | People have lower levels of depression after they've gone to therapy than they have before going to therapy |
Two | qualitative | quantitative | Between | More than two | ANOVA | Psychology majors are happier than physics majors, who are happier than chemistry majors |
Two | qualitative | quantitative | Within | More than two | ANOVA | People are happier in the fall than they are in the summer; people are happier in the summer than they are in the winter |
More than two | qualitative | quantitative | Any | Any | ANOVA | People have more energy when they drink coffee than they have when they don't drink coffee, especially if they have slept 8 hours than night before. (an interaction) |