The new sheriff in town wants to reduce the average emergency response to under 30 mins which is the average response time of the current sheriff. Their are no past records so the standard deviation is not known before. The 1st week response times for the new sheriffs are
26,30,28,29,25,28,32,35,24,23
What kind of test is best fit for this problem?
B. One-sample t-test
C. Paired-samples t-test
D. Independent-samples t-test
What is the observed value and do you accept or reject null hypothesis?
Is it a one or two tailed test?
what is the effect size?
Did the new sheriff meet the goal, not meet the goal or surpass the goal?
What kind of test is the best fit for this problem?
B. One-sample t-test
Is it a one or two-tailed test?
One-tailed
The sample size is n = 10. The provided sample data along with the data required to compute the sample mean and sample variance are shown in the table below:
X | X2 | |
26 | 676 | |
30 | 900 | |
28 | 784 | |
29 | 841 | |
25 | 625 | |
28 | 784 | |
32 | 1024 | |
35 | 1225 | |
24 | 576 | |
23 | 529 | |
Sum = | 280 | 7964 |
The sample mean is computed as follows:
Also, the sample variance is
Therefore, the sample standard deviation s is
(1) Null and Alternative Hypotheses
The following null and alternative hypotheses need to be tested:
Ho: μ ≤ 30
Ha: μ > 30
This corresponds to a right-tailed test, for which a t-test for one mean, with unknown population standard deviation, will be used.
(2) Rejection Region
Based on the information provided, the significance level is α = 0.05, and the critical value for a right-tailed test is t_c = 1.833.
(3) Test Statistics
The t-statistic is computed as follows:
(4) Decision about the null hypothesis
Since it is observed that t = -1.704 < t_c = 1.833, it is then concluded that the null hypothesis is not rejected.
Using the P-value approach: The p-value is p = 0.9387, and since p = 0.9387 > 0.05, it is concluded that the null hypothesis is not rejected.
(5) Conclusion
It is concluded that the null hypothesis Ho is not rejected. Therefore, there is not enough evidence to claim that the population mean μ is greater than 30, at the 0.05 significance level.
Did the new sheriff meet the goal, not meet the goal or surpass the goal?
Hence, the mean time is less than 30 mins, or they meet the goal
The new sheriff in town wants to reduce the average emergency response to under 30 mins...
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