Choosing the Best Test for Exponentiality for Sample Size of 150

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Choosing the best test for exponentiality with a sample size of 150 involves defining what "appropriate" means for the specific data set. There is no definitive mathematical answer without understanding the nature of the data and its characteristics, such as skewness and kurtosis. Common tests like the Pearson test may be frequently used, but their effectiveness can vary based on the data type. Sharing details about the data can help others recommend tests that have been successful in similar situations. Ultimately, the choice of test will depend on the context and goals of the analysis.
Mark J.
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Hi,
If I have a sample of 150 data how to chose between tests of exponentiality?
I mean is there any way to find the most appropriate test for my case judging on my data number,or maybe skewness, kurtosis, etc?
Or there are 2 or 3 frequently used tests (Pearson maybe) which are most used?

Please help
 
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Mark J. said:
Hi,
If I have a sample of 150 data how to chose between tests of exponentiality?
I mean is there any way to find the most appropriate test for my case judging on my data number,or maybe skewness, kurtosis, etc?
Or there are 2 or 3 frequently used tests (Pearson maybe) which are most used?

Please help

There is no mathematical answer to the "most appropriate" way until you define how to measure appropriateness. Even if you do that, there won't be be any mathematical answer unless you are willing to specify ( i.e. assume, guess, etc.) the exact way in which the data might be non-exponential.

If you reveal the nature of the data, someone might know from experience what tests have worked well for them on data of that particular type. ("Worked well" can have various meanings too. It might mean "produced a publishable result", "pleased my thesis advisor" "was approved by a government agency", etc.)
 
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