Answer:
z = -3
Step-by-step explanation:
If we had two independent samples, the variance is known and [tex]n_1[/tex] and [tex]n_2[/tex] are bigger than 30, the test statistic for the difference between the two population means is calculated as:
[tex]z=\frac{x_1-x_2}{\sqrt{\frac{s_1^2}{n_1}+\frac{s_2^2}{n_2} } }[/tex]
Where [tex]x_1[/tex] and [tex]x_2[/tex] are the means of the samples, [tex]s_1^2[/tex] and [tex]s_2^2[/tex] are the variances of the samples and [tex]n_1[/tex] and [tex]n_2[/tex] are the size of the sample.
Finally, replacing [tex]x_1[/tex] by 82, [tex]x_2[/tex] by 88, [tex]s_1^2[/tex] by 112.5 , [tex]s_2^2[/tex] by 54, [tex]n_1[/tex] by 45 and [tex]n_2[/tex] by 36, we get that the statistic is equal to:
[tex]z=\frac{82-88}{\sqrt{\frac{112.5}{45}+\frac{54}{36} } }=-3[/tex]