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kari74 [83]
3 years ago
12

Difference of Means Test. A sample of seniors taking the SAT in Connecticut in 2015 revealed the following results for the math

portion of the exam by Gender. Males Females Mean 492 520 Std Dev 119 129 N 150 165 The test statistic for a hypothesis test that the mean level of Math SAT scores between males and females is different (assuming equal variances) is:_______. A. 1.982 B. 13.973 C. 1.96 D. 2.004
Mathematics
1 answer:
Yuri [45]3 years ago
7 0

Answer:

t=\frac{(520 -492)-(0)}{124.340\sqrt{\frac{1}{150}+\frac{1}{165}}}=1.996

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  

\sigma^2_1 =\sigma^2_2 =\sigma^2

And the statistic is given by this formula:

t=\frac{(\bar X_1 -\bar X_2)-(\mu_{1}-\mu_2)}{S_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}}}

Where t follows a t distribution with n_1+n_2 -2 degrees of freedom and the pooled variance S^2_p is given by this formula:

\S^2_p =\frac{(n_1-1)S^2_1 +(n_2 -1)S^2_2}{n_1 +n_2 -2}

This last one is an unbiased estimator of the common variance \sigma^2

The system of hypothesis on this case are:

Null hypothesis: \mu_1 = \mu_2

Alternative hypothesis: \mu_1 \neq \mu_2

Or equivalently:

Null hypothesis: \mu_1 - \mu_2 = 0

Alternative hypothesis: \mu_1 -\mu_2 \neq 0

Our notation on this case :

n_1 =165 represent the sample size for group female

n_2 =150 represent the sample size for group male

\bar X_1 =520 represent the sample mean for the group female

\bar X_2 =492 represent the sample mean for the group male

s_1=129 represent the sample standard deviation for group 1female

s_2=119 represent the sample standard deviation for group male

First we can begin finding the pooled variance:

\S^2_p =\frac{(150-1)(119)^2 +(165 -1)(129)^2}{150 +165 -2}=15460.42

And the deviation would be just the square root of the variance:

S_p=124.340

And now we can calculate the statistic:

t=\frac{(520 -492)-(0)}{124.340\sqrt{\frac{1}{150}+\frac{1}{165}}}=1.996

And the most near value would be:

D. 2.004

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