In: Statistics and Probability
California Speeding: Listed below are the recorded speeds (in mi/hr) of randomly selected cars traveling on a section of Highway 405 in Los Angeles. That part of the highway has a posted speed limit of 65 mi/hr. Assume the standard deviation of speeds is 5.7 mi/hr. Use a 1% significance level to test the claim that sample is from a population with a mean weight that is greater than 65 mi/hr. 68 68 72 73 65 74 73 72 68 65 65 73 66 71 68 74 66 71 65 73 59 75 70 56 66 75 68 75 62 72 60 73 61 75 58 74 60 73 58 75
The data is :
Data | |
68 | |
68 | |
72 | |
73 | |
65 | |
74 | |
73 | |
72 | |
68 | |
65 | |
65 | |
73 | |
66 | |
71 | |
68 | |
74 | |
66 | |
71 | |
65 | |
73 | |
59 | |
75 | |
70 | |
56 | |
66 | |
75 | |
68 | |
75 | |
62 | |
72 | |
60 | |
73 | |
61 | |
75 | |
58 | |
74 | |
60 | |
73 | |
58 | |
75 | |
Count | 40 |
Mean | 68.375 |
SD | 5.669022889 |
The provided sample mean is and the known population standard deviation is , and the sample size is
(1) Null and Alternative Hypotheses
The following null and alternative hypotheses need to be tested:
Ho:
Ha:
This corresponds to a right-tailed test, for which a z-test for one mean, with known population standard deviation, will be used.
(2) Rejection Region
Based on the information provided, the significance level is α=0.01, and the critical value for a right-tailed test is zc=2.33.
The rejection region for this right-tailed test is R={z:z>2.33}
(3) Test Statistics
The z-statistic is computed as follows:
(4) The decision about the null hypothesis
Since it is observed that z=3.745>zc=2.33, it is then concluded that the null hypothesis is rejected.
Using the P-value approach: The p-value is p=0.0001, and since p=0.0001<0.01, it is concluded that the null hypothesis is rejected.
(5) Conclusion
It is concluded that the null hypothesis Ho is rejected. Therefore, there is enough evidence to claim that the population mean μ is greater than 65, at the 0.01 significance level.
Graphically
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