A report included the following information on the heights (in.) for non-Hispanic white females.
Age |
Sample Size |
Sample Mean |
Std. Error Mean |
---|---|---|---|
20–39 | 863 | 64.7 | 0.09 |
60 and older | 933 | 63.2 |
0.11 |
(a)
Calculate a confidence interval at confidence level approximately 95% for the difference between population mean height for the younger women and that for the older women. (Use μ20–39 − μ60 and older.)
Interpret the interval.
We cannot draw a conclusion from the given information.
We are 95% confident that the true average height of younger women is less than that of older women by an amount within the confidence interval.
We are 95% confident that the true average height of younger women is greater than that of older women by an amount within the confidence interval.
We are 95% confident that the true average height of younger women is greater than that of older women by an amount outside the confidence interval.
(b) Let μ1 denote the population mean height for those aged 20–39 and μ2 denote the population mean height for those aged 60 and older. Interpret the hypotheses H0: μ1 − μ2 = 1 and Ha: μ1 − μ2 > 1.
The null hypothesis states that the true mean height for younger women is more than 1 inch higher than for older women. The alternative hypothesis states that the true mean height for younger women is 1 inch higher than for older women.
The null hypothesis states that the true mean height for older women is more than 1 inch higher than for younger women. The alternative hypothesis states that the true mean height for older women is 1 inch higher than for younger women.
The null hypothesis states that the true mean height for younger women is 1 inch higher than for older women. The alternative hypothesis states that the true mean height for younger women is more than 1 inch higher than for older women.
The null hypothesis states that the true mean height for older women is 1 inch higher than for younger women. The alternative hypothesis states that the true mean height for older women is more than 1 inch higher than for younger women.
Carry out a test of these hypotheses at significance level 0.001. Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.)
a) 95% CI for difference: (1.219, 1.781)
We are 95% confident that the true average height of younger women is greater than that of older women by an amount within the confidence interval.
b) The null hypothesis states that the true mean height for younger women is 1 inch higher than for older women. The alternative hypothesis states that the true mean height for younger women is more than 1 inch higher than for older women.
For testing, we use independent sample t test assuming equal variance.
WE obtain
Value of t statistic = 3.49 with DF=1794 and P-Value =
0.0002
We have used Pooled StDev = 3.0370
Thus we fail to reject the null at significance level
0.001.
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