t-Test: Two-Sample Assuming Equal Variances | ||
Eagles Height in inches | Patriots Height in inches | |
Mean | 73.51948052 | 73.94805195 |
Variance | 7.095010253 | 7.786739576 |
Observations | 77 | 77 |
Pooled Variance | 7.440874915 | |
Hypothesized Mean Difference | 0 | |
df | 152 | |
t Stat | -0.974858488 | |
P(T<=t) one-tail | 0.165589676 | |
t Critical one-tail | 1.654940175 | |
P(T<=t) two-tail | 0.331179353 | |
t Critical two-tail | 1.975693928 |
What can I conclude by this?
Consider level of significance = [\alpha] = 5%= 0.05
# Using pvalue :-
One tailed test:
P value= 0.165589676
P value >0.05 , do not reject null hypothesis(H0) at 5% level of significance.
Two tailed test:
P value=0.331179353
P value>0.05 , do not reject H0 at 5% level of significance.
# Using t test table value
One tailed test
Calculated value=-0.974858488
Critical value= -1.654940175
Calculated value> critical value, Do not reject H0.
Two tailed test
Calculate value=|t|= 0.165589676
Critical value=1.975693928
Calculated value < Critical value
Do not reject H0.
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