One of the undersecretary of the Department of Labor and
Employment (DOLE) claims that the average salary of civil engineer
is Php18,000. A sample of 19 civil engineer’s salary has a mean of
Php17,350 and a standard deviation of Php1,230. Is there enough
evidence to reject the undersecretary’s claim at α = 0.01?
Hypothesized Population Mean "\\mu=18000"
Sample Standard Deviation s=1230
Sample Size n=19
Sample Mean "\\bar{x}=17350"
Significance Level "\\alpha=0.01"
Null and Alternative Hypotheses
The following null and alternative hypotheses need to be tested:
"H _\n0\n\u200b\n :\u03bc=18000"
"H _\n1\n\u200b\n :\u03bc\n\\not=\n18000"
This corresponds to two-tailed test, for which a t-test for one mean, with unknown population standard deviation, using the sample standard deviation, will be used.
Based on the information provided, the significance level is "\\alpha=0.01"
"df=n\u22121=18"
degrees of fredom, and the critical value for two-tailed test is
"t_c=2.87844"
The rejection region for this left-tailed test is "R=\\{t:|t|>2.87844\\}"
The tt - statistic is computed as follows: "t=\\frac{x-\\mu}{s\/\\sqrt{n}}=\\frac{17350-18000}{1230\/\\sqrt{19}}=-2.30348"
Since it is observed that
"|t|=2.30348<2.87844=t_c"
it is then concluded that the null hypothesis is not rejected.
Therefore, there is not enough evidence to claim that the population mean "\\mu" is different than 18000, at the "\\alpha=0.01"
significance level.
Using the P-value approach: The p-value for two-tailed, the significance level
"\\alpha=0.01, df=18, t=-2.30348"
is p=0.033425 and since
"p=0.033425>0.01=\\alpha"
it is concluded that the null hypothesis is not rejected.
Therefore, there is not enough evidence to claim that the population mean "\\mu" is different than 18000, at the "\\alpha=0.01"
significance level.
Comments
Leave a comment