91Ó°ÊÓ

To detect a comparison between the hypothesis test result and the confidence interval.

Consider the following data,

Consider the confidence interval's upper bound of$95\%$

$\left({\stackrel{¯}{x}}_1-{\stackrel{¯}{x}}_2\right)+t_{\frac{a}{2}}·\sqrt{\left(\frac{s_1^2}{n_1}\right)+\left(\frac{s_2^2}{n_2}\right)}=(7.36-10.50)+(-2.015)$$\sqrt{\left(\frac{1.{22}^2}{14}+\frac{4.{59}^2}{6}\right)}$

$=-6.97256$

As a result, the 95% upper bound is negative. As a result, the mean number of acute postoperative days in the hospital is lower than in the dynamic system.

To determine the confidence interval and hypothesis test result comparison.

Consider the following data

Consider the confidence interval's upper bound of $95\%$

$\left({\stackrel{¯}{x}}_1-{\stackrel{¯}{x}}_2\right)+t_{\frac{a}{2}}·\sqrt{\left(\frac{s_1^2}{n_1}\right)+\left(\frac{s_2^2}{n_2}\right)}=(67.90-66.81)+(-1.83311)$

$\sqrt{\left(\frac{5.{49}^2}{10}+\frac{9.{04}^2}{31}\right)}$

$=-3.267$

The intervention program lowers the mean heart rate of urban bus drivers since the $95\%$upper bound is negative.