statistically significance

Statistical Terms in Quantitative Research

Statistically significant means a result is unlikely due to chance.The p-value is the probability of obtaining the difference we saw from a sample (or a larger one) if there really isn’t a difference for all users.A conventional (and arbitrary) threshold for declaring statistical significance is a p-value of less than 0.05. Statistical significance doesn’t mean practical significance. Only by considering context, we can determine whether a difference is practically significant; that is, whether it requires action. The confidence interval around the difference

Statistical Significance and Null Hypothesis

Sample Problem Statement: A research paper claims a meaningful contribution to the literature based on finding statistically significant relationships between predictor and response variables. In the footnotes, you see the following statement, “given this research was exploratory in nature, traditional levels of significance to reject the null hypotheses were relaxed to the .10 level.” Post your response to the scenario in which you critically evaluate this footnote. As a reader/reviewer, what response would you provide to the authors about this footnote? Response to