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The value of apvalue. In a critical commentary on the use of significance testing, Lambdin (2012) explained, If ap < .05 result is 'significant,' then

The value of apvalue.In a critical commentary on the use of significance testing, Lambdin (2012) explained, "If ap< .05 result is 'significant,' then ap= .067 result is not 'marginally significant'" (p. 76).

Explain what the author is referring to in terms of the two decisions that a researcher can make.

I answered "If a p value is less than 0.05, it's considered significant which would lead the researcher to reject the null hypothesis. And ff a p value is equal to or greater than 0.05, referenced as 0.067 in this scenario, it's considered not significant, which would lead the researcher to fail to reject the null hypothesis."

My professor provided this feedback, stating that I did not fully answer this question. "Be sure to review the text for an explanation of marginal significance and apply your understanding of that concept to this scenario."

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