In: Statistics and Probability
6. As a class, we own and operate four car washes in Tucson. We notice that fewer people are out driving right now, so we might have to make the difficult decision to down-size our operation by closing a location. We gather the following information about each location.
Location Washes
Oracle 213
Tangerine 170
Kolb 201
Speedway 216
At the 0.05 significance level, is there a difference in the number of full-service washes purchased at each location?
(A) Write out the null and alternate hypotheses for this problem. (8)
(B) State the decision rule at the 0.05 level of significance. (8)
(C) Compute the chi-square value. (14)
(D) Make a decision about the hypotheses. Be sure to clearly articulate what you would do about our car wash locations. (10)
Chi-Square Goodness of Fit test | ||||||||||||||||||||||||||||||
(1) Null and Alternative Hypotheses (2)Critical Value and Rejection Region Decision rule (3) Degrees of Freedom
The Chi-Squared statistic is computed as follows: P-value The P-value is the probability that a chi-square statistic having 3 degrees of freedom is more extreme than 7.8147. The p-value is p=Pr(χ2>6.63)=0.0847 (4) The decision about the null hypothesis Since it is observed that χ2=6.63≤χc2=7.8147, it is then concluded that the null hypothesis is not rejected. Conclusion It is concluded that the null hypothesis Ho is not rejected. Therefore, there is NOT enough evidence to claim that some of the population proportions differ from those stated in the null hypothesis, at the α=0.05 significance level. Since there is no significant difference between the four locations, therefore it would be more prudent not to close down any or choose one randomly to close down, most likely Tangerine since it contributes maximum to the chi-square statistic. |