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Follow-up Analysis
The largest component(s) of x² is ______ because the observed counts of ______ was higher/lower than expected
Procedure (goodness of fit)
X² GOF test for P
Ho
The claimed distribution of categorical variable is true
Ha
The claimed distribution of categorical variable is NOT true
Largecounts
The smallest expected count is ____, so all expected counts are > 5
OR
If there is a table we can say that all values in the table are > 5
OR
if there are just a few values we can show that each of them are > 5
Calculate
X²stat = (o-e)² / e + … + (o-e)² / e = test statistic
Calc command: X² GOF test (use L1 and L2)
Procedure (homo)
X² test for Homogeneity ——→ bc its AT LEAST 2 samples (can be more!)
Find expected counts for 2 sample
(RowTotal)(ColumnTotal) / (TableTotal). —→ for each square of table
10% check for 2-sample
Assume ___ < 10% (population)
Assume ___ < 10% (population)
Largecounts 2-sample
See expected table above, smallest expected count is ____, so all expected counts are > 5
CALCULATE homo 2-sample
X²stat = (o-e)² / e + … + (o-e)² / e = test statistic, note down p-value
Calc command: X² - test —→ edit [A]: 3×2, enter O-values
[A] —→ Observed
[B] —→ Expected
df = (# rows -1)(# columns -1)
Hypotheses for homo 2-sample
Ho: There is no difference in the distribution of _____ and _____
Ha: There is a difference in the distribution of _____ and _____