A report in LTO stated that the average age of taxis in the Philippines is 9 years. An operations manager of a large taxi company selects a sample of 40 taxis and finds the average age of the taxis is 8.2 years. The o if the population is 2.3 years. At a = 0.05, can it be concluded that the average age of the taxis in his company is less than the national average?
"\\mu=9, \\sigma=2.3,n=40,\\bar{x}=8.2,\\alpha=0.05."
Null and alternative hypotheses:
"H_0:\\mu\\geq9;\\\\\nH_1:\\mu<9."
Because "\\sigma" is known and "n=40>30," we can use the z-test.
"z=\\cfrac{\\bar{x}-\\mu}{\\sigma\/\\sqrt{n}}=\\cfrac{8.2-9}{2.3\/\\sqrt{40}}=-2.20."
In z-table, the area corresponding to "z=-2.20" is 0.0139. Because the test is a left-tailed test, the P-value is equal to the area to the left of "z=-2.20," so, "P=0.0139."
Because the P-value is less than "\\alpha" =0.05, we reject the null hypothesis, there is enough evidence at the 5% level of significance to support the claim that the average age of the taxis in this company is less than the national average.
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