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22:27 Sun 21. Nov '5' 17 %E} 22:27 Sun 21. Nov e 17 0/0' A B C TOD o @ U Which seems to provide

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22:27 Sun 21. Nov '5' 17 %E}

22:27 Sun 21. Nov e 17 0/0' A B C TOD o @ U Which seems to provide greater evidence against the claim that the population proportions are 20% red, 35% white, and 45% blue: a high chi-square value (such as you computed for the Day 2 and Day 4 samples), or a low chi-square value (such as you computed for the Day 1 and Day 3 samples)? These values 35%, 20%, and 45% will result in large chi square value, which will probably make the claims false one. So, a high chi-square value will provide greater evidence against the claim. Earlier in this lesson we learned that strong evidence against the claim that the population proportions are 20% red, 35% white, and 45% blue implies that something may be wrong with the production process. Based on your answer above, would a high chi-square value or a low chi-square value give stronger evidence that something may be wrong with the production process? From above the high chi-square suggests something may be wrong with the production process. Is it possible to obtain a negative chi-square statistic? If so, explain how. If not, explain why not. The numerator is the sum of the squared which cannot be negative and the denominator can never be less than 0, therefore, it is not possible to obtain a negative chi-square. 2 On Day 5, the following sample was collected: Blue 458 1 3 A Red 178 Comoute the chi-sauare va White 364

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