Answer.
Each squared discrepancy is divided by its own expected frequency, so a gap of 5 counts for more when E is small.
Original questions written at exam standard. Work each one before you open the solution.
Answer.
Each squared discrepancy is divided by its own expected frequency, so a gap of 5 counts for more when E is small.
Answer. Row total × column total ÷ grand total
This is what independence would predict. Check that the expected values reproduce the original totals.
Answer.
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Answer. Otherwise the chi-squared approximation breaks down.
A small makes unstable and inflates the statistic. Combine categories until every expected value reaches 5.
Answer.
Each expected frequency is 10, and the squared differences are . Dividing the total 10 by 10 gives 1.
Answer. There is evidence of an association between the two variables — not that one causes the other.
A third factor may drive both. Chi-squared detects association only, and the wording of the conclusion should say exactly that.