Need some clarification with statistics

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Discussion Overview

The discussion revolves around the appropriate use of various statistical distributions, including Poisson, binomial, normal, t-student, and chi-square distributions. Participants seek clarification on when to apply each distribution in different statistical scenarios, reflecting on their understanding and learning process in an introductory statistics course.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Homework-related

Main Points Raised

  • One participant outlines their understanding of different distributions and their conditions for use, noting specific criteria for Poisson, binomial, normal, t-student, and chi-square distributions.
  • Another participant mentions that the variance of a normally distributed population is chi-square distributed, suggesting its relevance when estimating variance.
  • There is a question about the participant's goal, whether it is to pass an exam or to learn statistics, indicating a focus on foundational understanding.
  • Some participants emphasize the importance of understanding assumptions related to data when selecting a distribution, noting that there are no fixed rules for application.
  • A later reply questions the clarity of the original description of the Poisson distribution, suggesting a possible misunderstanding regarding the term "pop mean."
  • One participant expresses increased clarity regarding the Poisson distribution after the discussion, indicating progress in their understanding.

Areas of Agreement / Disagreement

Participants generally agree on the importance of understanding the assumptions behind each distribution, but there are differing interpretations of how to apply the Poisson distribution specifically. The discussion remains unresolved regarding the precise conditions under which each distribution should be used.

Contextual Notes

Some assumptions about the data and conditions for using each distribution are not fully articulated, leading to potential ambiguity in application. The discussion reflects a range of understanding and familiarity with statistical concepts.

Who May Find This Useful

Students in introductory statistics courses, educators seeking to understand common student misconceptions, and individuals interested in the application of statistical distributions in various contexts.

anjunabeats
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Im currently doing an introductory stats course and have learnt:

- poisson distribution
- binomial distribution
- normal distribution
- t-student
- and chi-square

I think I know what most of them look like but am having a bit of a hard time distinguishing what distribution to use when faced with questions.

Heres my current understanding:

- poisson distribution - when pop mean is given over an interval?
- binomial distribution - when given sample size and p of success
- normal distribution - n >30 or if normal
- t-student - when population is normal distributed but variance parameter is unknown
- and chi-square - not too sure when to use.

Wondering if anyone can help me with my current problems, thanks in advance!
 
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the normal distrubuted population's random estimated variance is chi square distribute, when you ask what probability you can obtain a variance you need chi square.
 
anjunabeats said:
I think I know what most of them look like but am having a bit of a hard time distinguishing what distribution to use when faced with questions.

Firstly, is the goal here to pass the exam or to learn statistics?
 
bpet said:
Firstly, is the goal here to pass the exam or to learn statistics?

To learn statistics, I am already doing well enough to pass the exam. I am probably going to learn much more difficult concepts in the future so its best if i get the fundamentals right.
 
anjunabeats said:
...its best if i get the fundamentals right.

The key is understanding what assumptions are reasonable for the given data, and which are necessary in order to use a particular distribution in your repertoire. There aren't any fixed rules as to what applies when, but as you learn more distributions and see the various ways they arise you'll gain a more intuitive understanding of which candidates are most suitable for each situation.

Good luck with your studies!
 
bpet said:
The key is understanding what assumptions are reasonable for the given data, and which are necessary in order to use a particular distribution in your repertoire. There aren't any fixed rules as to what applies when, but as you learn more distributions and see the various ways they arise you'll gain a more intuitive understanding of which candidates are most suitable for each situation.

Good luck with your studies!

thanks for pointing out the obvious.
 
anjunabeats said:
thanks for pointing out the obvious.

Glad you appreciate the point - many don't, which is why so much dodgy research gets published.

Regarding the original questions, it sounds like you're on the right track except maybe the Poisson distribution - not sure what you meant by "pop mean is given over an interval", did you mean to say "average occurrence rate is given over an interval"?
 
bpet said:
Glad you appreciate the point - many don't, which is why so much dodgy research gets published.

Regarding the original questions, it sounds like you're on the right track except maybe the Poisson distribution - not sure what you meant by "pop mean is given over an interval", did you mean to say "average occurrence rate is given over an interval"?

Yeah i think i understand poisson distribution more clearly now, just finished the course today probably planning to learn more chunkier stats in the future.
 

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