In a study of the accuracy of fast food drive-through orders, one restaurant had 34 orders that were not accurate among 393 orders observed. Use a 0.05 significance level to test the claim that the rate of inaccurate orders is more than 10%. identify the original claim identify the null and the alternative hypothesis identify the test statistic. identify the P-value Do we reject or fail-to-reject the null hypothesis. Write down your final conclusion that addresses the original claim
Solution :
This is the right tailed test .
The null and alternative hypothesis is
H0 : p = 0.10
Ha : p > 0.10
n = 393
x = 34
= x / n = 34 / 393 = 0.0865
P0 = 0.10
1 - P0 = 1 - 0.10 = 0.90
z = - P0 / [P0 * (1 - P0 ) / n]
= 0.0865 - 0.10 / [(0.10 * 0.90) / 393]
= -0.89
Test statistic = -0.89
This is the right tailed test .
P(z > -0.89) = 1 - P(z <-0.89) = 1 - 0.1867 = 0.8133
P-value = 0.8133
= 0.05
P-value >
Fail to reject the null hypothesis .
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