Testing/proving X-bar oof an exponential distribution

AI Thread Summary
The discussion revolves around testing the X-bar of a dataset presumed to follow an exponential distribution based on students' GPAs. Concerns are raised about the validity of the probability plot, suggesting it may not accurately represent a probability distribution, particularly due to the high GPA values observed. Questions are posed regarding the meaning of the "percent" on the vertical axis and the clarity of the problem statement provided. Participants seek guidance on appropriate statistical tests to apply using Minitab software. The conversation highlights the need for a clearer understanding of the data and the specific tests required for analysis.
kadaj6
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ok, so I have a list of students with GPA, I checked the probability plot and I think its a Exponential distribution, take a look:

Probability Plot of gpa.jpg



So I am given a χ-bar to prove, and I have to prove or test it with three different types of test, I don't know which ones or how to do them in miniTab software.

please help me.
 
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That plot looks odd to me - it certainly does not look like a probability distribution.
i.e. if it were then the probability of getting a 4.0gpa is 0.99... did nearly everyone get a high gpa?

The "percent" on the vertical axis - what is it a percent of?

The curve looks like an inverse cumulative-normal.

Finally - are you asking about chi-bar or x-bar?
You appear to have supplied an incomplete problem statement - what are you supposed to "prove"?
Do you know of any tests that may fit the bill?
 

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