Statistical Significance and Meaningfulness

According to the scenario, “given this research was exploratory in nature, traditional

levels of significance to reject the null hypotheses were relaxed to the .10 level,” investigation

involves implementation of exploratory research to define a problem that exists without results

or conclusion being provided. This statement solely addresses the type of research utilized and

how it is being conducted thus far. The traditional significance level is referred to when the null

hypothesis has been expressed, and the p-value is equal to or less than the significance

considered. The level of significance is critical because it demonstrates the possibility that the

rejection of a null hypothesis could happen when it is true. .10 level is an alpha level that tests

the data’s significance level. A null hypothesis is an account that reflects no difference and

contradicts the hypothesis of the research, and is expressed in terms of population criterion

always (Frankforth-Nachmias & Leon-Guerrero, 2020).