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Here is my way of viewing inferential statistics so far:

  1. Sampling distribution - basic concept What's the point of inferential statistics here? Oh, well, estimating parameters! OK so here comes:
  2. Estimation: a. point estimation; b. interval estimation = confidence interval. Pretty well. But now comes:
  3. Hypothesis testing. Is there any link between confidence intervals and hypothesis testing or are they separate concepts? Is 'estimation' the link? How come? I can't see the link between estimation and hypothesis testing...
user_anon
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  • It is unclear what do you mean and what is your question. Between the lines I read that you are basically asking us to summarize for you the whole mathematical statistics handbook in few sentences. In either of the cases your question is unanswerable. – Tim Aug 23 '16 at 14:17
  • Sorry. My questions are those from number 3. – user_anon Aug 23 '16 at 14:19
  • Have you tried searching through the page: http://stats.stackexchange.com/questions/16312/what-is-the-difference-between-confidence-intervals-and-hypothesis-testing ..? – Tim Aug 23 '16 at 14:22
  • 1,2,3 were just my study flow. I understood that the basis is 'sampling distribution'. Then I was wondering what's the point of inferential statistics? Inference of population parameters (estimation). Now, I want to know if there is a connection between confidence intervals and hypothesis testing. – user_anon Aug 23 '16 at 14:22

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