click below
click below
Normal Size Small Size show me how
Chi Square Tests
AP Statistics
| Term | Definition |
|---|---|
| choose (GOF) | x^2 goodness of fit test, state level of significance and H0 & HA |
| check (GOF) | SRS/random assignment with context, 10% condition only if there is an SRS, Large Counts = all expected values > 5 |
| calculate (all) | x^2 = sum of (observed-expected)^2 / expected |
| finding critical value (GOF) | invx^2 (use area not captured by level of significance, ex. 0.05 = 0.95 area and df = # of groups-1) |
| conclude (all) | write sentence about HA always, if rejecting H0 write a follow up analysis |
| follow up analysis | the largest component of x^2 is ____ because the observe counts of ____ were higher/lower than expected |
| finding p-value | normx^2, always greater than because distribution is skewed right |
| lower df | distribution is strongly skewed right |
| higher df | distribution approaches normal but is still skewed right |
| H0 (GOF) | the observed (context) matches the expected (context), the observed and expected values are the same |
| HA (GOF) | the observed (context) do not match the expected (context), the observed and expected values are different |
| expected counts (GOF) | sample size x decimal percentage given by problem |
| x^2 test for GOF | 1 sample, 1 variable, use spreadsheet |
| expected counts (Hom & Indep) | row total x column total / grand total |
| H0 (Hom) | there is no difference between the distributions of the 2 samples/distributions are the same |
| HA (Hom) | there is a difference between the distributions of the 2 samples/distributions are not the same (context)! |
| degrees of freedom (Hom & Indep) | (1- # of rows)(1- # of columns) |
| x^2 test for homogeneity | 2 samples, 1 variable, use matrix |
| H0 (Indep) | there is no association between (context) / the ___ and ____ are independent |
| HA (Indep) | there is an association between (context) / the ___ and the ____ are not independent |
| x^2 test for independence | 1 sample, 2 variables, use matrix |