STAT212inferencefortwowaytables

# STAT212inferencefortwowaytables - Inference for Two-Ways...

This preview shows pages 1–2. Sign up to view the full content.

Inference for Two-Ways Tables - Two way categorical variables (or block design) Each intersection of values for these two variables is called a cell. Marginal distribution- is sum of a row or column. Conditional is the sum of a row or column, keeping the other variable constant. The question of interest is whether there is a relation between the row variable and the column variable. We want to know if the differences in sample proportions are likely to have occurred just by chance, because of the random sampling. We use the chi-square (χ2) test to assess the null hypothesis of no relationship between the two categorical variables of a two- way table. These hypotheses are neither one or two tailed - H0: There is no association between the row and column variables. H0 means that the c distributions of the row variable are identical. - Ha: There is an association between the row and column variables. Ha means that the distributions are not the same Expected counts in two way tables- We compare actual counts from the

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### Page1 / 2

STAT212inferencefortwowaytables - Inference for Two-Ways...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online