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I am going to teach an undergraduate statistics course for the first time next semester. I would like students to do a project by applying some of the things they learned to real-world data. Is there any sources (books, websites) with suitable examples for something likes this?

The topics covered in the course will be

  • Prior and Posterior Distributions, Conjugate Prior Distributions, Bayes Estimators
  • Maximum Likelihood Estimators
  • The Sampling Distribution of a Statistic, The Chi-Square Distributions, The t-distributions, Confidence Intervals, Fisher Information
  • Testing Simple Hypotheses, Uniformly Most Powerful Tests, Uniformly Most Powerful Tests, The t Test, Comparing Two Normal Distributions
  • Goodness-of-Fit, Contingency Tables, Tests of Homogeneity
  • Linear Regression

Update: One idea I have is to ask students to find a paper with published data and verify the statistics done in this paper is accurate. Is this a good idea?

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    Have you already checked out the resources at https://matheducators.stackexchange.com/q/7976/12619 and found them lacking? – Matthew Daly Feb 04 '22 at 16:20
  • @MatthewDaly Thanks. That post is very helpful. I think it is enough for me. –  Feb 05 '22 at 09:17

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