Independent t-Test: Unequal Sample Sets, 30 Samples Each

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An independent samples t-test was performed on two sample sets, each containing 30 samples, yielding a t statistic of 7.81 and a p-value of less than 0.001, indicating a statistically significant difference between the group averages. The degrees of freedom for this test is 43. While the low p-value suggests strong evidence against the null hypothesis, there is a discussion about the necessity of a confidence interval for further validation of the results. Some participants express uncertainty about the correctness of the t-values provided. Overall, the findings suggest a significant difference, but additional statistical measures like confidence intervals could enhance the robustness of the analysis.
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I need to perform an independent samples t-test with unequal variables on these two sample sets. There are 30 samples in each. So far, I've come up with the following information.

t(43) = 7.81, p < 0.001

degrees of freedom = 43
t statistic = 7.81
p statistic = <0.001

I need confirmation if that's correct. Also, what does this say about the statistics? Is it valid enough? I'm trying to show that the difference between the averages of the two groups is statistically significant. Thanks if you can help.


Set 01

1.073
0.598
0.876
1.434
0.636
0.705
0.524
0.561
0.401
0.516
0.916
1.243
0.628
0.615
0.537
1.166
0.635
0.615
0.909
0.728
1.180
1.223
0.582
0.833
0.964
1.038
0.636
1.077
0.427
0.602


Set 02

0.244
0.283
0.516
0.237
0.427
0.413
0.457
0.293
0.365
0.152
0.500
0.232
0.343
0.335
0.476
0.329
0.523
0.192
0.478
0.523
0.293
0.198
0.304
0.679
0.241
0.314
0.246
0.109
0.276
0.617
 
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with a p-value that low, its obvius that the difference is statistically significant.

as for if you have all the t-values, I am not sure if its correct, do you have a confidence interval?
 
The Ippster said:
with a p-value that low, its obvius that the difference is statistically significant.

as for if you have all the t-values, I am not sure if its correct, do you have a confidence interval?

Is a confidence interval necessary if I have a p-value instead?
 

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