Test for Independence using Chi Square Distribution Tests of independence involve using a contingency table of observed (data) values. The test statistic for a test of independence is similar to that of a goodness-of-fit test: (0-E)² E where: O observed values E expected values • i- the number of rows in the table . •j- the number of columns in the table There are i j terms of the form A test of independence determines whether two factors are independent or not. Is the above True or False? O True (O-E)³ E O False

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Test for Independence using Chi Square Distribution
Tests of independence involve using a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
(0-E)²
E
where:
.
O observed values
•
E = expected values
•
i= the number of rows in the table
.
• j = the number of columns in the table
There are i j terms of the form
(0-E)²
E
A test of independence determines whether two factors are independent or not.
Is the above True or False?
True
False
Transcribed Image Text:Test for Independence using Chi Square Distribution Tests of independence involve using a contingency table of observed (data) values. The test statistic for a test of independence is similar to that of a goodness-of-fit test: (0-E)² E where: . O observed values • E = expected values • i= the number of rows in the table . • j = the number of columns in the table There are i j terms of the form (0-E)² E A test of independence determines whether two factors are independent or not. Is the above True or False? True False
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