Health Without Gaps continues to support our vulnerable population.

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 […]

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 […]

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