Question

In: Statistics and Probability

In a study of the accuracy of fast food​ drive-through orders, one restaurant had 33 orders...

In a study of the accuracy of fast food​ drive-through orders, one restaurant had

33

orders that were not accurate among

384

orders observed. Use a

0.10

significance level to test the claim that the rate of inaccurate orders is equal to​ 10%. Does the accuracy rate appear to be​ acceptable?

Identify the test statistic and the P value.

Solutions

Expert Solution

Let , p be the proportion of inaccuracy or inaccuracy rate .

So, we have to test :  

We have n = 384 samples , among those 33 are inaccurate ,

So, sample inaccuracy   

Test statistic :  

where , p0 = 0.1

So,

p value for both tailed test :

= 2 x 0.179 = 0.358

Note that p value > alpha = 0.10  

So, we don't have enough evidence to reject the NUll.

In other words , The accuracy rate is not acceptable .


Related Solutions

In a study of the accuracy of fast food​ drive-through orders, one restaurant had 36 orders...
In a study of the accuracy of fast food​ drive-through orders, one restaurant had 36 orders that were not accurate among 302 orders observed. Use a 0.10 significance level to test the claim that the rate of inaccurate orders is equal to​ 10%. 1. Does the accuracy rate appear to be​ acceptable? 2. Identify the null and alternative hypotheses for this test. 3. What is the test statistic for this hypothesis test? 4. What is the P-Value for this hypothesis...
In a study of the accuracy of fast food​ drive-through orders, one restaurant had 39 orders...
In a study of the accuracy of fast food​ drive-through orders, one restaurant had 39 orders that were not accurate among 327 orders observed. Use a 0.10 significance level to test the claim that the rate of inaccurate orders is equal to​ 10%. Does the accuracy rate appear to be​ acceptable? Identify the null and alternative hypotheses for this test. Choose the correct answer below. Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test...
In a study of the accuracy of fast food​ drive-through orders, one restaurant had 39 orders...
In a study of the accuracy of fast food​ drive-through orders, one restaurant had 39 orders that were not accurate among 340 orders observed. Use a 0.05 significance level to test the claim that the rate of inaccurate orders is equal to​ 10%. Does the accuracy rate appear to be​ acceptable? Identify the null and alternative hypotheses for this test. Identify the test statistic for this hypothesis test. Identify the​ P-value for this hypothesis test. Identify the conclusion for this...
In a study of the accuracy of fast food​ drive-through orders, one restaurant had 36 orders...
In a study of the accuracy of fast food​ drive-through orders, one restaurant had 36 orders that were not accurate among 313 orders observed. Use a 0.01 significance level to test the claim that the rate of inaccurate orders is equal to​ 10%. Does the accuracy rate appear to be​ acceptable? Identify the null and alternative hypotheses for this test. Identify the test statistic for this hypothesis test. Identify the conclusion for this hypothesis test. A. Fail to reject Upper...
In a study of the accuracy of fast food​ drive-through orders, one restaurant had 37 orders...
In a study of the accuracy of fast food​ drive-through orders, one restaurant had 37 orders that were not accurate among 305 orders observed. Use a 0.01 significance level to test the claim that the rate of inaccurate orders is equal to​ 10%. Does the accuracy rate appear to be​ acceptable? Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is? ​(Round to two decimal places as​ needed.) Identify the​ P-value for this hypothesis...
In a study of the accuracy of fast food​ drive-through orders, one restaurant had 32 orders...
In a study of the accuracy of fast food​ drive-through orders, one restaurant had 32 orders that were not accurate among 398 orders observed. Use a 0.10 significance level to test the claim that the rate of inaccurate orders is equal to​ 10%. Does the accuracy rate appear to be​ acceptable? Identify the null and alternative hypotheses for this test. Choose the correct answer below. A. H0​: p≠0.1 H1​: p=0.1 B. H0​: p=0.1 H1​: p≠0.1 C. H0​: p=0.1 H1​: p<0.1...
In a study of the accuracy of fast food drive-through orders, McDonald's had 33. orders that...
In a study of the accuracy of fast food drive-through orders, McDonald's had 33. orders that were not accurate among 362 orders observed (based on data from QSR magazine). Construct a 95% confidence interval for the proportion of orders that are not accurate. What would be the sample sizes needed to get a 95% confidence interval of plus or minus 3% given that the initial estimate of the population proportion is either 1%, 25%, 50%, 75% or 99% (calculate the...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 341accurate orders...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 341accurate orders and 57 that were not accurate. Construct a 90​% confidence interval estimate of the percentage of orders that are not accurate. a. Construct a 90​% confidence interval. Express the percentages in decimal form. ------------- <p<------------- ​(Round to three decimal places as​ needed.) b. Compare the results from part​ (a) to this 90​% confidence interval for the percentage of orders that are not accurate at...
In a study of the accuracy of fast food? drive-through orders, one restaurant had 37 37...
In a study of the accuracy of fast food? drive-through orders, one restaurant had 37 37 orders that were not accurate among 331 331 orders observed. Use a 0.05 0.05 significance level to test the claim that the rate of inaccurate orders is equal to? 10%. Does the accuracy rate appear to be? acceptable?
study of the accuracy of fast food drive through orders, Restaurant A had 339 accurate orders...
study of the accuracy of fast food drive through orders, Restaurant A had 339 accurate orders and 57 that were not accurate. construct a 90% confidence interval estimate of the percentage of orders not accurate. compare the results from part (a) to the 90% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.134<p<0.184. what do you conclude?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT