From 99 of its restaurants, Noodles & Company managers collected data on per-person sales and the percent of sales due to "potstickers" (a popular food item). Both numerical variables failed tests for normality, so they tried a chi-square test. Each variable was converted into ordinal categories (low, medium, high) using cutoff points that produced roughly equal group sizes. At α = .02, is per-person spending independent of percent of sales from potstickers? |
Potsticker % of Sales | ||||
Per Person Spending |
Low | Medium | High | Row Total |
Low | 18 | 7 | 8 | 33 |
Medium | 10 | 11 | 5 | 26 |
High | 12 | 9 | 19 | 40 |
Col Total | 40 | 27 | 32 | 99 |
(a) |
The hypothesis for the given issue is H0: Percentage of Sales and Per-Person Spending are independent. |
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(b) |
Calculate the chi-square test statistic, degrees of freedom, and the p-value. (Round your test statistic value to 2 decimal places and p-value to 4 decimal places. Leave no cells blank - be certain to enter "0" wherever required.) |
Test statistic | |
d.f. | |
p-value | |
(c) | We reject the null and find dependence. | ||||
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