How could the researchers in this experiment minimize the likelihood of a type 1

Question

How could the researchers in this experiment minimize the likelihood of a type 1 error? Based on the data below.



"Normal No Spaci.? Heading 11 Heading nlvarlate Analysls of Varlance Between-Subjects Factors Value Label N Group CBT thera 2 narrative therapy no therapy Tests of Between-Subjects Effects Dependent Variable: Post-test depression score Type lIll Sum Sig. Source Corrected Model Intercept Group Error Total Squares 566.533 90637.067 566.533 850.400 92054.000 416.933 a. R Squared .400 (Adjusted R Squared300) 283.267 3.997 047 190637.067 1278.980 000 .047 283.267 70.867 3.997 12 15 14 Corrected Total Post Hoc Tests

Explanation / Answer

Simply by reducing the alpha value from 0.05 to 0.01

Type I error is the chance of rejecting the true sample. That is we reject the null hypothesis when its actually is true at a given level of significance. The alpha is the significance level which is the probability of committing the type I error. In the area of distribution curve the points falling in the 5% area are rejected , thus greater the rejection area the greater are the chances that points will fall out of a population in this rejection area and thus more probability of incorrectly identifying true samples in the rejection area.If level of significance reduces from 5 to 1% than the rejection area also reduces thus lower rejection area reduces the chances that points will fall out of a population in this rejection area and thus less the probability of incorrectly identifying true samples in the rejection area. Thus the chances of committing the type I error decreases with reduction in the significance level alpha

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