USE T TEST (one sample mean)
One of the undersecretary of the Department of Labor and Employment (DOLE) claims that the average salary of civil engineer is P18,000. A sample of 19 civil engineers salary has a mean of
Given:
STEP 1: STATE THE HYPOTHESIS AND IDENTIFY THE CLAIM.
STEP 2: THE LEVEL OF SIGNIFICANCE
STEP 3: THE T CRITICAL VALUE
STEP 4: COMPUTE THE ONE SAMPLE (T)TEST VALUE
STEP 5: DECISION RULE
STEP 6: CONCLUSION
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_0: \\mu=18000"
"H_1: \\mu\\not=18000"
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-1=18" degrees of fredom, and the critical value for two-tailed test is"t_c=2.87844."
The rejection region for this two-tailed test is "R=\\{t:|t|>2.87844\\}."
The "t" - statistic is computed as follows:
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.
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