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contingency table
shows observed frequencies, is measured rows x columns, the intersection of a row & column is called a cell
cell
the intersection of a row and column
marginal frequencies
the sum of each row & column
joint frequencies
another name for observed frequencies
sample size
the total of the marginal frequencies for the rows or the marginal frequencies for the columns; write at the bottom right of the contingency table & box
Finding an expected frequency
Er, c = (sum of row r • sum of column c) / sample size
What is the test in this section called?
the Chi-Square Test for Independence
Chi-Square Test For Independence Conditions
Sample is random
Each expected frequency is greater than or equal to 5
Chi-Square Test for Independence Steps
H0: The variables ______ and ______ are independent. (order doesn’t matter); Ha: The variables ______ and ______ are dependent.
∝ =
Standardized Test Stat
P-Value
For steps 3 & 4, write down matrices for observed and expected frequencies, input into calculator, go to STAT → TESTS: C) x2 test
input correct matrices for observed & expected
Decision: If P ≤ ∝, R H0; If P > ∝, F to R H0
Final Statement: Something along the lines of “Evidence suggests that the variables are (independent/dependent).
Could also say related/not related
df =
(# of rows - 1) • (# of columns - 1)