In: Statistics and Probability
The following scores are from an independent-measures study comparing two treatment conditions. (Be sure to include your critical values)
a. Use an independent -measures t-test with a = 0.05 to determine whether there is a significant mean difference between the two treatments.
b. Use an ANOVA with a = 0.05 to determine whether there is a significant mean difference between the two treatments. You should find that F = t2.
Treatment I Treatment II
10 | 7 | n=16 |
8 | 4 | g=120 |
7 | 9 | Σx2 = 1036 |
9 | 3 | |
13 | 7 | |
7 | 6 | |
6 | 10 | |
12 | 2 |
Hypotheses are:
a)
Following is the output of independent sample t test:
Hypothesis Test: Independent Groups (t-test, pooled variance) | ||||
T1 | T2 | |||
9.00 | 6.00 | mean | ||
2.51 | 2.83 | std. dev. | ||
8 | 8 | n | ||
14 | df | |||
3.000 | difference (T1 - T2) | |||
7.143 | pooled variance | |||
2.673 | pooled std. dev. | |||
1.336 | standard error of difference | |||
0 | hypothesized difference | |||
2.24 | t | |||
.0414 | p-value (two-tailed) | |||
F-test for equality of variance | ||||
8.00 | variance: T2 | |||
6.29 | variance: T1 | |||
1.27 | F | |||
.7585 | p-value |
The p-vaue of t test is; 0.0414
Since p-value is less than 0.05 so we reject the null hypothesis. That is we can conclude that there is a significant mean difference between the two treatments.
Critical values:
Degree of freedom: df=n-1=14
Test is two tailed so critical values of t test using excel function "=TINV(0.05,14)" are: +/- 2.145
Rejection region:
If t < -2.145 or t > 2.145, reject H0
b)
Following is the output of ANOVA:
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
T1 | 8 | 72 | 9 | 6.285714 | ||
T2 | 8 | 48 | 6 | 8 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 36 | 1 | 36 | 5.04 | 0.041443 | 4.60011 |
Within Groups | 100 | 14 | 7.142857 | |||
Total | 136 | 15 |
The p-value of F test is: 0.0414
Since p-value is less than 0.05 so we reject the null hypothesis. That is we can conclude that there is a significant mean difference between the two treatments.
Here we have F = 5.04 and t = 2.24
t^2 = 2.24*2.24 = 5.0176
That is F = t^2 verified.
Critical values:
Using excel function "=FINV(0.05,1,14)" is: 4.600
Rejection region:
If F > 4.600, reject H0