Final Exam Topic List – STA 4322/5328 Spring 2009
Exam 1 material:
Know the 9 relationships among the common distributions.
What is a population, a
population parameter, a sample and a sample statistic?
What is the sampling distribution of a statistic?
What does it mean for a statistic to be
unbiased?
What is the mean and variance of the sample mean when the observations are iid with any
population model?
Why does the sample variance have an n1 in the denominator and what is its sampling
distribution under the iid normal model?
What expression has a tdistribution under the iid
Normal model? Be able to justify this.
Be able to construct and simplify likelihood functions. Be able to find Maximum Likelihood
estimators.
Exam 2 material:
What is the meaning of the term sufficient statistic? Be able to apply the factorization
criteria to find the sufficient statistic.
Know the terms: null hypothesis, alternative hypothesis, test statistic, pvalue, power of a
test, type I error and type II error.
What does the NeymanPearson Lemma say? Be able to apply the NP Lemma to find the
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 Fall '08
 Park
 Statistics, Normal Distribution, normal model, Final exam topic, population assumption

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