In: Statistics and Probability
coming up with five or six random numbers - for each group if Independent Samples t-test problem) OR coming up with Pre & Post scores for five or six individuals – if it is a Correlated Samples t-test problem. Just coming up with two sets of numbers and labeling them Groups 1 and 2, or Labeling them Pre and Post is all you need to do for this week’s t-test problem.
Suppose we have two independent data sets as,
data1 data2
132 141
145 139
124 172
122 131
165 150
144 125
151
We have to test,
Vs
We use Minitab for t-test,
Descriptive Statistics: data1, data2
Variable Mean StDev Variance
data1 140.43 15.44
238.29
data2 143.00 16.60
275.60
MTB > TwoSample 'data1' 'data2';
SUBC> Confidence 95.0;
SUBC> Test 0.0;
SUBC> Alternative 0;
SUBC> Pooled.
Two-Sample T-Test and CI: data1, data2
Two-sample T for data1 vs data2
N Mean StDev SE
Mean
data1 7 140.4 15.4
5.8
data2 6 143.0 16.6
6.8
Difference = μ (data1) - μ (data2)
Estimate for difference: -2.57
95% CI for difference: (-22.13, 16.99)
T-Test of difference = 0 (vs ≠): T-Value = -0.29 P-Value = 0.778 DF
= 11
Both use Pooled StDev = 15.9764
_____________________________________________________________________________________
P-value = 0.778 > alpha = 0.05, Do not reject the
null hypothesis.
Conclusion -
From given sample information and at level of significance alpha =
0.05, there is not enough evidence to say that the two population
averages are different.