Download • Bernoulli Trials (Binomial Distribution) Concepts to know for Exam 3

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Transcript
Concepts to know for Exam 3
• Bernoulli Trials (Binomial Distribution)
– mean, standard deviation
This exam covers ch 7 and Chapter 8
– expected value
– n, p, q, r
• sample space
– uniform/not uniform
• Probability using
– Venn diagrams
– Trees
– tables
– counting techniques
– formulas
• Conditional probability
– Reduced sample space
– Formula
– Backwards tree
• Independent Events
– Test for independence: Two events, A
and B, are independent if P (A ∩ B) =
P (A)P (B)
– Using the concept of independence
• Random variables
– Finite Discrete
– Infinite Discrete
– Continuous
– Probability distribution
• Histogram
• Mean, Median, Mode, Variance, Standard Deviation
• Expected Value
• Fair game
• Odds
– in favor of E
– against E
• Probability from Odds
• Chebychev’s inequality(theorem)
• Normal Distribution
– The standard normal random variable.
• All probability and and counting methods.
• Any additional topic discussed in class.