Hi Srinivasan v
F - vslur is so much, but nothing happdnt so we expect that haghi more than the theoretical value which is depending on digreefredom for Numerator and digreefredom for denominator.,and yuo can use p-vslue approach with the following rejection rule :
Reject null hypothesis if p-vslue less than 0.05.
Or by using critical value approach with the following rejection rule :
Reject null hypothesis if tabulated F greater than theoretical F with df1 and df2 and 0.05 significance of levele.
With best regard
Hi Srinivasan v
F - vslur is so much, but nothing happdnt so we expect that haghi more than the theoretical value which is depending on digreefredom for Numerator and digreefredom for denominator.,and yuo can use p-vslue approach with the following rejection rule :
Reject null hypothesis if p-vslue less than 0.05.
Or by using critical value approach with the following rejection rule :
Reject null hypothesis if tabulated F greater than theoretical F with df1 and df2 and 0.05 significance of levele.
With best regard
What makes a significance or non significance diagnosis is p-value. Of course, it's also possible to know from F if we know df.
I had a question from you too. "What software did DOE analyze?"
Dear Abolfzel
Sorry I don't understand what do you mean by DOE analysis, but ANOVA there was many software to do it such as Minitab and Spss.
With best regard
DOE: Design of Experiments
Lovely Minitab is also the best software to do DOE-Analysis.
I'm happy that our name (Abbas = Abolfazl) is similar. Very
Please you can also check vidoes of Black Belt Lean 6 Sigma for more information about DOE.
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Copied from doctor / Dhritikesh Chakrabarty
F test is a statistical test, based on a test statistic known as F statistic, which is used to test the difference between two standard deviations of two different populations based on small random samples from the two populations.
On the other hand, ANOVA is not a test statistic but a statistical tool for testing the significance of differences among several means.
It is correct that F test is used to measure/test the difference between two population variances but not to measure/test the difference between two population means.
However, ANOVA is not used to measure/test the difference between two population variances. It is used to test the significance of differences among several (more than two) population means.
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https://www.statisticshowto.datasciencecentral.com/probability-and-statistics/f-statistic-value-test/
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