The new Dunkin store in Pleasant Hills has just opened and records were kept for three weeks; the store manager wanted to know if thee store sold statistically equal amounts of donuts as follows: Glazed sugar Maple Crème Jelly 1236 1423 1684 1200 1356 What type of testing should be done ? a. Regression test b. Goodness of fit test c. Anova test d. Contingency table e. A combination of test a and test c f. None of these
The store manager wanted to know if the store sold statistically equal amounts of donuts.
here the donuts sold is given as:
1236 1423 1684 1200 1356
Glazed | sugar | Maple | Crème | Jelly |
1236 | 1423 | 1684 | 1200 | 1356 |
Here total donuts sold is equal to 6899 which gives the expected number of each donuts to be sold = 6899 / 5 = 1379.8
So, to test if the store sold statistically equal amounts of donuts, we need to use b. Goodness of fit test.
Ho: the store sold statistically equal amounts of donuts.
Ha: the store doesn't sold statistically equal amounts of donuts.
Here Chi-squre test statistics =
= 107.245
P- value = = 0.000
so we have sufficient evidence to reject the null hypothesis
Hence the store doesn't sold statistically equal amounts of donuts.
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