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IB Mathematics: Applications and Interpretation HL · 13.4: Hypothesis Testing · 13.4.8
Name Date
Combining categories in a chi-squared test Problem set A
Show the expected frequencies, the groups you combine, the degrees of freedom and the calculator output. Write each conclusion in context.
Difficulty: first skills applying them stretch
Skills
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A theatre records the seat bought by 119 customers and the customer's age group. The seat type and the age group are assumed to be independent. The observed counts are shown.
- (a) Find the expected frequency for Stalls and Under 16.
- (b) Find all the expected frequencies that are 5 or less.
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182 runners in a marathon are grouped by age and by finishing time. A chi-squared test for independence is planned. The expected frequencies must be greater than 5 for a chi-squared test.
- (a) Use the calculator to find the expected frequencies. Which are 5 or less?
- (b) Combine neighbouring columns so that every expected frequency is greater than 5. Give a reason for your choice and the new table.
- (c) State the degrees of freedom for the new table.
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129 students are asked how often they cycle to school. Test, at the 5% significance level, whether this is independent of year group. Combine categories if you need to. Give the hypotheses, the degrees of freedom, the p-value and your conclusion.
In context
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A cafe chain collects 186 customer ratings from three branches. Test, at the 5% significance level, whether the rating is independent of the branch. Combine categories if you need to. Give the hypotheses, the degrees of freedom, the p-value and your conclusion.
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160 pupils are grouped by the club they joined and their age. Test, at the 5% significance level, whether club and age are independent. Combine categories if you need to. Give the hypotheses, the degrees of freedom, the p-value and your conclusion.
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A school team played 162 matches over three terms. Test, at the 5% significance level, whether the result is independent of the term. Combine categories if you need to. Give the hypotheses, the degrees of freedom, the p-value and your conclusion.
Stretch
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The number of days 152 students were absent last term is recorded by year group. A student wants to test, at the 5% significance level, whether days absent is independent of year group.
- (a) The student combines 5 or more days = 10 or more days + 5 to 9 days. Show that the condition for the test is still not met.
- (b) Combine more categories until the condition is met. State the groups you choose and carry out the test.
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A market stall records how 111 customers paid and the customer's age group. Combine categories first. Test whether payment method is independent of age group, at the 5% level and then at the 1% level.
- (a) Carry out the test at the 5% significance level.
- (b) State the conclusion at the 1% significance level, and explain why the two conclusions differ.
jmaths.xyz · AI HL · 13.4.8 Combining categories in a chi-squared test