according to nscb statistics, the life expectancy of filipino women is 70.1 years. suppose a random sample of 30 women in town b yields a mean of 72.5 years with a population variance of 4.76 years, would you say that the life expectancy of the women in town b is greater than the average
a. Formulate the null and alternative hypothesis in sentence and in symbol
b. Determine what test statistic to use
c. Compute the test statistic
a.
The null hypothesis "(H_0)" is: the life expectancy of the women in town b is not greater than the average.
The alternativel hypothesis "(H_1)" is: the life expectancy of the women in town b is greater than the average.
The following null and alternative hypotheses need to be tested:
"H_0:\\mu\\leq 70.1"
"H_1:\\mu>70.1"
This corresponds to a right-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=0.05, df=n-1=30-1"
"=29" degrees of freedom, and the critical value for a right-tailed test is "t_c=1.699127."
The rejection region for this right-tailed test is "R=\\{t:t>1.699127\\}."
The t-statistic is computed as follows:
Since it is observed that "t=2.7616>1.699127=t_c," it is then concluded that the null hypothesis is rejected. Therefore, there is enough evidence to claim that the population mean "\\mu" is greater than "70.1", at the "\\alpha=0.05"
Using the P-value approach: The p-value for right-tailed, "\\alpha=0.05, df=29, t=2.7616" is "p=0.004937," and since "p=0.004937<0.05=\\alpha," it is then concluded that the null hypothesis is rejected. Therefore, there is enough evidence to claim that the population mean "\\mu" is greater than "70.1", at the "\\alpha=0.05"
Therefore, there is enough evidence to say that the life expectancy of the women in town b is greater than the average, at the "\\alpha=0.05"
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