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Calculator for hypothesis test for 1 variance / std dev

Hello,

 

The set of calculators available in Help -> Sample Index does not include a calculator for hypothesis testing of 1 variance or std deviation. Can this be added?


Thank you.

 

Regards

Mehul Shroff

5 Comments
mia_stephens
Staff
Status changed to: Needs Info

Hi @MShroff, most of the calculators in the Sample Index are also natively available from JMP Platforms if you're working with raw data. The hypothesis test for one standard deviation is available from the Distribution platform. Does this meet your needs?

mia_stephens_0-1677877773011.png

 

MShroff
Level VI

Hello @mia_stephens,

 

In many cases, I don't have raw data and only have summary statistics, so having a calculator would help.

 

On a related note, I saw that the calculator for hypothesis testing of 2 variances uses the F ratio. Why is this the case rather than a Chi-Sq test? Can an option be added to allow the user to select between F ratio and Chi-Sq?

 

Regards

Mehul Shroff 

julian
Community Manager

Hi @MShroff,

I can see how a hypothesis test for 1 variance could be useful from summary data, and we can investigate with the developer of these applets the feasibility of adding this. 

 

Regarding the test for equality of two sample variances, I am not familiar with a two-sample approach based on a Chi-Square that is robust to distributional violations (which is why I'd choose something other than the F test). Bartlett's chi-square is all I can think of, but it is not so robust to violations of the assumption of normality. My go-to if an assumption of normality is questionable is Levene's Test. Would you provide a source for what you're interested in? 

 

@julian 

MShroff
Level VI

Hello @julian,

 

I was informed by Laura Archer in JMP Tech Support that the F-ratio presented in the 2-variance test is the ratio of the chi-sq metric for each variance. If so, it would be helpful to additionally publish these values.

 

Regards

Mehul Shroff

julian
Community Manager

 Thank you for clarifying, @MShroff! I see why you're asking about a Chi-Square now. To clarify, sample estimates of a population variance are themselves distributed as a chi-square. An F is defined as a ratio of two chi-squares, which is how we're able to form a test for the homogeneity of variance by using that ratio as a test statistic compared against an F with n1-1 numerator and n2-1 denominator degrees of freedom.