In addition to concern about the amount of time cars spend in the drive-through, the manager is also worried about the variability in wait times. Prior to the new drive-through system, the standard deviation of wait times was 18.0 seconds. Use the data in the table below to decide whether there is evidence to suggest the standard deviation wait-time is less than 18.0 seconds. Use the α = 0.05 level of significance.
108.5 | 67.4 | 58.0 | 75.9 | 65.1 |
80.4 | 95.5 | 86.3 | 70.9 | 72.0 |
Conditions:
a) The χ2 ("chi-square") test for standard
deviations____ (is / is not)
appropriate for this data.
Rejection Region:
b)To test the given hypotheses, we will use a____
(left / right /
two) -tailed test.
c) The appropriate critical value(s) for this test is/are_____
.
d) The test statistic for this test is χ20=___. report your answer rounded to 3 decimal places
e) We _____(reject / fail to
reject) H0.
f) The given data _____ (does / does
not) provide significant evidence that the standard
deviation of wait times under the new method is less than 18.0
seconds.
a) The χ2 ("chi-square") test for standard deviations____ (is ) appropriate for this data.
Rejection Region:
b)To test the given hypotheses, we will use a____
(left ) -tailed test.
c) The appropriate critical value(s) for this test is/are_____
.
d) The test statistic for this test is χ20=3.325. report your answer rounded to 3 decimal places
e) We _____(fail to reject) H0.
f) The given data _____ (does not) provide
significant evidence that the standard deviation of wait times
under the new method is less than 18.0 seconds.
Null hypothesis | H₀: σ = 18 |
Alternative hypothesis | H₁: σ < 18 |
Method | Test Statistic |
DF | P-Value |
Bonett | — | — | 0.310 |
Chi-Square | 6.42 | 9 | 0.303 |
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