Question #18967

The paired t-test

A large group of learning-disabled college freshmen, who experienced debilitating anxiety before major tests, were matched on an index of test anxiety. Members of these matched pairs were randomly assigned to two different groups. The first group was given two weeks of relaxation exercises (Relax). The second group of students was given two weeks of study skills training (Study). Using the data below determine if there is a significant difference between their final exam scores. Use this data

Relax: 46 49 47 48 50 52 48 47 46 49 42
Study (y) 50 49 51 52 50 48 52 47 50 52 53

Expert's answer

Conditions

The paired t-test

A large group of learning-disabled college freshmen, who experienced debilitating anxiety before major tests, were matched on an index of test anxiety. Members of these matched pairs were randomly assigned to two different groups. The first group was given two weeks of relaxation exercises (Relax). The second group of students was given two weeks of study skills training (Study). Using the data below determine if there is a significant difference between their final exam scores. Use this data

Relax: 46 49 47 48 50 52 48 47 46 49 42

Study (y) 50 49 51 52 50 48 52 47 50 52 53

Solution

The null hypothesis is


H0:M1=M2H _ {0}: M _ {1} = M _ {2}


The tt statistic to test whether the means are different can be calculated as follows:


t=Xˉ1Xˉ2SX2X22nt = \frac {\bar {X} _ {1} - \bar {X} _ {2}}{S _ {X _ {2} X _ {2}} \sqrt {\frac {2}{n}}}


where


SX2X2=12(SX22+SX22)S _ {X _ {2} X _ {2}} = \sqrt {\frac {1}{2} \left(S _ {X _ {2}} ^ {2} + S _ {X _ {2}} ^ {2}\right)}SX22=i=111(X1M1)2nS _ {X _ {2}} ^ {2} = \frac {\sum_ {i = 1} ^ {1 1} \left(X _ {1} - M _ {1}\right) ^ {2}}{n}SX22=i=111(X2M2)2nS _ {X _ {2}} ^ {2} = \frac {\sum_ {i = 1} ^ {1 1} \left(X _ {2} - M _ {2}\right) ^ {2}}{n}M1=46+49+47+48+50+52+48+47+46+49+421147.64M _ {1} = \frac {4 6 + 4 9 + 4 7 + 4 8 + 5 0 + 5 2 + 4 8 + 4 7 + 4 6 + 4 9 + 4 2}{1 1} \approx 4 7. 6 4M2=50+49+51+52+50+48+52+47+50+52+531150.36M _ {2} = \frac {5 0 + 4 9 + 5 1 + 5 2 + 5 0 + 4 8 + 5 2 + 4 7 + 5 0 + 5 2 + 5 3}{1 1} \approx 5 0. 3 6SX226.654545S _ {X _ {2}} ^ {2} \approx 6. 6 5 4 5 4 5SX223.454545S _ {X _ {2}} ^ {2} \approx 3. 4 5 4 5 4 5SX2X22.248232S _ {X _ {2} X _ {2}} \approx 2. 2 4 8 2 3 2t=2.7272720.958649=2.844912t = \frac{2.727272}{0.958649} = 2.844912


The degrees of freedom:


k=222=20k = 22 - 2 = 20


The t-criterion value is 2.08600 (for p=0.95p=0.95).

As our t is bigger, than t-criterion value, so the null hypothesis is rejected.

**Answer:** Yes, there is a significant difference between their final exam scores

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