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 85.5 85.5 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 10 randomly selected orders. The wait times are provided in the table to the right. Complete parts (a) and (b) below. 104.4 104.4 82.7 82.7 68.3 68.3 93.5 93.5 57.6 57.6 87.4 87.4 75.8 75.8 69.8 69.8 67.3 67.3 83.2 83.2 LOADING... Click the icon to view the table of correlation coefficient critical values. (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 equals = 0.988 0.988. Are the conditions for testing the hypothesis satisfied? ▼ Yes, No, the conditions ▼ are not are satisfied. The normal probability plot ▼ is is not linear enough, since the correlation coefficient is ▼ less greater than the critical value. 60 75 90 105 -2 -1 0 1 2 Time (sec) Expected z-score A normal probability plot has a horizontal axis labeled Time (seconds) from 50 to 115 in increments of 5 and a vertical axis labeled Expected z-score from negative 2 to 2 in increments of 0.5. Ten plotted points closely follow the pattern of a line that rises from left to right through (57.5, negative 1.55) and (93.5, 1). All coordinates are approximate. (b) Is the new system effective? Conduct a hypothesis test using the P-value approach and a level of significance of alpha equals 0.01 α=0.01. First determine the appropriate hypotheses. Upper H 0 H0: ▼ p p mu μ sigma σ ▼ less than < greater than > equals = not equals ≠ 85.5 85.5 Upper H 1 H1: ▼ sigma σ p p mu μ ▼ less than < greater than > equals = not equals ≠ 85.5 85.5 Find the test statistic.
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