Final+Exam+Review+Session

Final+Exam+Review+Session - Final Exam Review Notes Chapter...

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Chapter 2 -Sample space -Permutations and combinations -Conditional Probability (vs independence) -BAYES THEOREM -If A and B are independent, P(A | B) = P(A) Chapter 3 -Discrete random variables… p(x) = P(X=x) -Bernoulli r.v.’s – based on a binary trial (success or failure) -Binomial -Negative Binomial -Hypergeometric -(don’t worry about geometric) -Poisson – used for rates “per unit time” or “per unit area” Chapter 4 -Continuous random variables -f(x) = F’(x), f(x) >= 0 -Understand relationship between CDF and PDF -Don’t worry about exponential, weibull, gamma, lognormal, etc. -Do worry about normal and chi-squared Chapter 5 -Go over discrete marginal table from exam 2 -Covariance ( σ xy ) vs. correlation (ρ xy ) Chapter 6 -Understand the following terms: -Point estimate -Unbiased estimator -Minimum Variance Unbiased Estimation Chapter 7 -Confidence Intervals -When to use t vs. z vs. chi-squared -How to affect the size of a confidence interval -Tolerance Intervals
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Final+Exam+Review+Session - Final Exam Review Notes Chapter...

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