In: Statistics and Probability
When statisticians say that the t Test produces the same thing as the F test, what they really mean is that:
__this occurs when the t Test is used to measure more than 2 groups
__t = F
__t2 = F
__none of the above
Sol:
t test used for 2 groups
F test used for more than 2 groups
For the sample
A | B |
64 | 82 |
47 | 71 |
54 | 89 |
43 | 62 |
T TEST
t-Test: Two-Sample Assuming Unequal Variances | ||
A | B | |
Mean | 52 | 76 |
Variance | 84.66666667 | 142 |
Observations | 4 | 4 |
Hypothesized Mean Difference | 0 | |
df | 6 | |
t Stat | -3.188213588 | |
P(T<=t) one-tail | 0.009439439 | |
t Critical one-tail | 1.943180281 | |
P(T<=t) two-tail | 0.018878878 | |
t Critical two-tail | 2.446911851 |
ANOVA conducted for the 2 groups is
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
A | 4 | 208 | 52 | 84.66667 | ||
B | 4 | 304 | 76 | 142 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 1152 | 1 | 1152 | 10.16471 | 0.018879 | 5.987378 |
Within Groups | 680 | 6 | 113.3333 | |||
Total | 1832 | 7 |
t=-3.1882
F=10.16471
t^2=-3.1882*-3.1882
=10.16462
t^2=F
ANSWER:
t^2 = F