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B.12 chisquare independence 2way
B.12 chisquare independence 2way
B.12 chisquare independence 2way
B.12 chisquare independence 2way
B.12 chisquare independence 2way
B.12 chisquare independence 2way
B.12 chisquare independence 2way
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B.12 chisquare independence 2way

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  • 1. Chi- Square Test for Independence (Two-Way Table)
  • 2. Chi Square Test for Independence • Used when we wish to determine whether two variables of classification are related or dependent of one another. • Contingency Table: an arrangement of data in a 2-way classification through rows and columns
  • 3. Validate Conditions • Sampling method is a simple random sample • Population size is at least ten times larger than its sample size • Variables are qualitative • 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 – 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. •

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