# PSY202H1 Lecture Notes - Lecture 1: Tim Hortons, Type I And Type Ii Errors, Second Cup

## Document Summary

It can compare 2 or more treatments, which t tests cannot. H0: there is no mean differences among the treatments/populations. (the term here is populations) H1: there is at least one mean is different. At least one population/treatment has a different mean from the others. And these population mean differences are responsible for the systematic differences between our observed sample means. (don"t write non-equal here) Levels: the individual conditions or values that make up for a factor. Dependent variable: what might be related to the factor or influenced by the factor. Examples: we want to test the difference in coffee quality between. Starbucks, tim hortons, and second cup: factor: coffee shops, #oflevels: 3 levels, levels: starbuck, tim hortons, second cups, dv: coffee quality, we want to test the effects of social media (facebook, instagram, More comparison: higher likelihood of committing type i error. Risk of type i error for an individual hypothesis test.