How is JMP STD error for means and STD error for Mean difference calculated? I wish validate the numbers I get in Excel with JMPHow does JMP calculate the Std Error of means and Std Error of Diff in the LS means Table and LS Means Differences Student's t.
I tried to replicate the results by STD error calculated from both Standard deviation of sample and population,
but the values do not match.
Please refer the document attached, I calculated the STD errors from the values in 4 groups as well as the
STD error of the 4 means in in my validation data set. I am not able to match it with the output of JMP.
Please point me to where I am going wrong.
Thanks
AnalyticsData TableRe: How is JMP STD error for means and STD error for Mean difference calculated? I wish validate the numbers I get in Excel with JMPDo you mean to say that you started with the sample or population standard deviation of the response? That approach is invalid. That approach will lead to an inflated standard error. Why? Because that measure includes the fixed effects contributed to the variation in the response.
The mean sum of squares error or the root mean sum of squares (error) is the estimated variance or standard deviation, respectively, of the response without the fixed effects.
Re: How is JMP STD error for means and STD error for Mean difference calculated? I wish validate the numbers I get in Excel with JMPHi,
In the Analyze > Fit Model platform, Standard Deviations are pooled across levels, hence Standard Error of individual levels will not match exactly.
If you are interested in calculating the Std Dev and Std Err for each level, I would recommend using the Summarize platform
Best,
TS
