This document contains a set of hypothesis testing problems, focusing on Type I and Type II errors, test size, power functions, and critical regions for various statistical distributions (e.g., Bernoulli, Poisson, normal, and uniform). I'll solve one of the problems as an example if you'd like, or provide guidance on any specific question.

Let me know which problem you want to start with or if you need a general overview of solving hypothesis testing problems.

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Would you like to:

1. Review an example solution for finding Type I and Type II errors?
2. Understand how to calculate the size of a test?
3. Explore how to determine and sketch power functions?
4. Go over concepts like acceptance regions or critical regions?
5. Work on calculating probabilities for specific tests?

Tip: Type I error (alpha) is the probability of rejecting a true null hypothesis, while Type II error (beta) is the probability of failing to reject a false null hypothesis.