Point estimation, sufficient statistics, completeness, exponential family, maximum likelihood estimators, statistical hypotheses, beta tests, likelihood ratio tests, noncentral distributions.

Learning Objectives:

  1. Distinguish among various random distributions and identify which distributions most closely characterize certain natural phenomena.
  2. Compute conditional probabilities.
  3. Compute and plot distributions of random variables.
  4. Solve problems whose data are characterized by specific distribution functions.
  5. Estimate values and compute confidence intervals.
  6. Formulate and test statistical hypotheses.

YOUR OPPORTUNITY: You'll become even more knowledgeable in the language and tools of statistical analysis.

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