Question

In: Statistics and Probability

There is a lot of interest in the relationship between studying music and studying math. We...

There is a lot of interest in the relationship between studying music and studying math. We will look at some sample data that investigates this relationship. Below are the Math SAT scores from 8 students who studied music through high school and 11 students who did not. Test the claim that students who study music in high school have a higher average Math SAT score than those who do not. Test this claim at the 0.05 significance level.

The 8 students who studied music in high school (x1)

Math SAT Scores (x1) x1 s12 s1  
  532    585    576    630    556    555   585    634   
581.6 1280.8 35.79  

The 11 students who did not study music in high school (x2)

Math SAT Scores (x2) x2 s22 s2  
  480    535    553    537    480    513   495    556   554   493   557   
523.0 992.8 31.51  

If you are using software, you should be able copy and paste the data.

(b) Use software to calculate the test statistic or use the formula

t =

(c) Use software to calculate the degrees of freedom (d.f.) or use the formula

Round your answer to the nearest whole number.
d.f. =   

(d) What is the critical value of t? Use the answer found in the t-table or round to 3 decimal places.
tα =  

Solutions

Expert Solution

(b) Use software to calculate the test statistic.

Test statistic = t = 3.7051

(c) Use software to calculate the degrees of freedom (d.f.)

d.f. = 14

d) What is the critical value of t?

tα = 1.761

(by using t-table)

The required output for the two sample t test for the difference between two population means by assuming unequal population variances is given as below:

Separate-Variances t Test for the Difference Between Two Means

(assumes unequal population variances)

Data

Hypothesized Difference

0

Level of Significance

0.05

Population 1 Sample

Sample Size

8

Sample Mean

581.625

Sample Standard Deviation

35.7888

Population 2 Sample

Sample Size

11

Sample Mean

523

Sample Standard Deviation

31.5087

Intermediate Calculations

Numerator of Degrees of Freedom

62679.8573

Denominator of Degrees of Freedom

4476.5286

Total Degrees of Freedom

14.0019

Degrees of Freedom

14

Standard Error

15.8228

Difference in Sample Means

58.6250

Separate-Variance t Test Statistic

3.7051

Upper-Tail Test

Upper Critical Value

1.7613

p-Value

0.0012

Reject the null hypothesis


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