Who provides p-value interpretation in t-test homework?
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Whether you are a beginner in statistics or an expert, the t-test is a common statistical technique that is used to compare the mean values of two population parameters. The significance level for the t-test is a crucial variable that you need to address. this page If the significant level is exceeded, you need to be cautious about making conclusions about the study’s outcome. To be specific, we often conduct a one-sample t-test where we compare the mean of one population to another. The t-test is a crucial statistical technique for understanding the differences among
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The p-value is used to determine whether the null hypothesis, i.e. The difference between two samples, can be rejected at a significance level of 5% (z=2 is the equivalent of α=0.05). A random sample means a sample that is not selected at random. If the hypothesis is true, it will be rejected at 5% significance, which means that only 5% of the samples that are taken at random will have the same result if the null hypothesis is true (and the alternative hypothesis is false). So, the