Respuesta :
Answer: -0.1
Step-by-step explanation:
Given : [tex]n_1=n_2=20[/tex]
[tex]\overline{x}_1=131\ ;\ \overline{x}_2=132[/tex]
[tex]s_1=38\ ;\ s_2=13[/tex]
Test statistic for the difference in population mean is given by :-
[tex]z=\dfrac{\overline{x}_1-\overline{x}_2}{\sqrt{\dfrac{s_1^2}{n_1}+\dfrac{s_2^2}{n_2}}}[/tex]
i.e. [tex]z=\dfrac{131-132}{\sqrt{\dfrac{(38)^2}{20}+\dfrac{(13)^2}{20}}}[/tex]
i.e. [tex]z=\dfrac{-1}{\sqrt{80.65}}[/tex]
i.e. [tex]z=-0.111351946748\approx-0.1[/tex]
Hence, the test statistic for the difference in the amount of money spent: z=-0.1
Answer:
-0.1
Step-by-step explanation:
The University of Florida is interested in determining if there is a difference in the amount of money spent on food every two weeks between male and female students. They take a random sample of 20 male students (group 2) and 20 female students (group 1). They also find that xbar2 is 132 with a standard deviation of 13, and xbar1 is 131 with a standard deviation of 38. Do not assume equal variances. Therefore, the test statistic for the difference in the amount of money spent is -0.1.