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# B.12 chisquare independence 2way

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### Transcript

• 1. Chi- Square Test for Independence (Two-Way Table)
• 2. Chi Square Test for Independence &#x2022; Used when we wish to determine whether two variables of classification are related or dependent of one another. &#x2022; Contingency Table: an arrangement of data in a 2-way classification through rows and columns
• 3. Validate Conditions &#x2022; Sampling method is a simple random sample &#x2022; Population size is at least ten times larger than its sample size &#x2022; Variables are qualitative &#x2022; Expected frequency for each cell of the table is at least 5
• 4. Setting up the test Expected frequency= row total * column total table total We then use : Degree of Freedom= (# of rows &#x2013; 1) * ( # of columns -1) Null Hypothesis: always assumes that the two ways of classifying the data are independent *It is always a one-tail test ** see tutorial for use of calculator
• 5. &#x2022;