Respuesta :
Answer:
[tex]t=\frac{(520 -492)-(0)}{124.340\sqrt{\frac{1}{150}+\frac{1}{165}}}=1.996[/tex]
And the most near value would be:
D. 2.004
Step-by-step explanation:
When we have two independent samples from two normal distributions with equal variances we are assuming that
[tex]\sigma^2_1 =\sigma^2_2 =\sigma^2[/tex]
And the statistic is given by this formula:
[tex]t=\frac{(\bar X_1 -\bar X_2)-(\mu_{1}-\mu_2)}{S_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}}}[/tex]
Where t follows a t distribution with [tex]n_1+n_2 -2[/tex] degrees of freedom and the pooled variance [tex]S^2_p[/tex] is given by this formula:
[tex]\S^2_p =\frac{(n_1-1)S^2_1 +(n_2 -1)S^2_2}{n_1 +n_2 -2}[/tex]
This last one is an unbiased estimator of the common variance [tex]\sigma^2[/tex]
The system of hypothesis on this case are:
Null hypothesis: [tex]\mu_1 = \mu_2[/tex]
Alternative hypothesis: [tex]\mu_1 \neq \mu_2[/tex]
Or equivalently:
Null hypothesis: [tex]\mu_1 - \mu_2 = 0[/tex]
Alternative hypothesis: [tex]\mu_1 -\mu_2 \neq 0[/tex]
Our notation on this case :
[tex]n_1 =165[/tex] represent the sample size for group female
[tex]n_2 =150[/tex] represent the sample size for group male
[tex]\bar X_1 =520[/tex] represent the sample mean for the group female
[tex]\bar X_2 =492[/tex] represent the sample mean for the group male
[tex]s_1=129[/tex] represent the sample standard deviation for group 1female
[tex]s_2=119[/tex] represent the sample standard deviation for group male
First we can begin finding the pooled variance:
[tex]\S^2_p =\frac{(150-1)(119)^2 +(165 -1)(129)^2}{150 +165 -2}=15460.42[/tex]
And the deviation would be just the square root of the variance:
[tex]S_p=124.340[/tex]
And now we can calculate the statistic:
[tex]t=\frac{(520 -492)-(0)}{124.340\sqrt{\frac{1}{150}+\frac{1}{165}}}=1.996[/tex]
And the most near value would be:
D. 2.004