If, after performing a student test for comparison of means we obtain p= 0.0256, then:

If, after performing a Student's t-test (also known as a t-test for comparison of means), we obtain a p-value of **0.0256**, this means:

1. The p-value represents the probability of observing the test statistic or one more extreme under the assumption that the null hypothesis is true.
2. Typically, the null hypothesis in a t-test states that the means of two groups are equal, i.e., there is no significant difference between the group means.
3. A p-value of 0.0256 is below the common significance level of **0.05**,

Explore the meaning of a p-value of 0.0256 in a Student's t-test for comparing means. This analysis covers key statistical concepts like hypothesis testing, the t-distribution, and p-values, making it perfect for undergraduate students studying statistics.

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