The mean waiting time at the drive-through of a fast-food restaurant from the time an order is placed to the time the order is received is 85.3 seconds. A manager devises a new drive-through system that she she believes will decrease wait time. As a test, she she initiates the new system at her her restaurant and measures the wait time for 10 randomly selected orders. The wait times are provided in the table to the right. Complete parts (a) and (b) below.
101.3
68.9
57.4
73.5
67.3
81.4
96.0
84.7
69.2
80.3
Critical values
Sample Size, n |
Critical Value |
Sample Size, n |
Critical Value |
|
---|---|---|---|---|
5 |
0.880 |
16 |
0.941 |
|
6 |
0.888 |
17 |
0.944 |
|
7 |
0.898 |
18 |
0.946 |
|
8 |
0.906 |
19 |
0.949 |
|
9 |
0.912 |
20 |
0.951 |
|
10 |
0.918 |
21 |
0.952 |
|
11 |
0.923 |
22 |
0.954 |
|
12 |
0.928 |
23 |
0.956 |
|
13 |
0.932 |
24 |
0.957 |
|
14 |
0.935 |
25 |
0.959 |
|
15 |
0.939 |
30 |
0.960 |
(a) Because the sample size is small, the manager must verify that the wait time is normally distributed and the sample does not contain any outliers. The normal probability plot is shown below and the sample correlation coefficient is known to be r=0.981.
Are the conditions for testing the hypothesis satisfied?
▼ Yes, No, the conditions▼ are not are satisfied. The normal probability plot▼ is not is linear enough, since the correlation coefficient is▼ greater less than the critical value. (b) Is the new system effective? Conduct a hypothesis test using the P-value approach and a level of significance of α=0.05. First determine the appropriate hypotheses. H0: ▼ p μ σ ▼ = > < ≠ 85.3 H1: ▼ μ p σ ▼ < > ≠ 85.3 Find the test statistic. t0=__?__ (Round to two decimal places as needed.) Find the P-value. The P-value is __?__. (Round to three decimal places as needed.) Use the α=0.05 level of significance. What can be concluded from the hypothesis test? A. The P-value is greater than the level of significance so there not sufficient evidence to conclude the new system is effective. B. The P-value is greater than the level of significance so there sufficient evidence to conclude the new system is effective. C. The P-value is less than the level of significance so there sufficient evidence to conclude the new system is effective. D. The P-value is less than the level of significance so there not sufficient evidence to conclude the new system is effective. |
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