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1
Fall 2009-copyright Joe Kahlig
Concepts to know Exam 2
• Normal Distribution
– The standard normal random variable.
This exam covers chapter 2 and chapter 3
• Concepts from Chapter 1
– Probability rules
– conditional probability
– independence
– odds
– others concepts from ch 1
• Counting
– Multiplication Principle
– Combinations
– Permutations
– Distinct rearrangements
– Counting what you want by counting what
you don’t want
– problems like those found on the counting
handouts.
• Probability using counting techniques
• Random variables
– Finite Discrete
– Infinite Discrete
– Continuous
– Probability distribution
• Histogram
• Mean, Median, Mode, Variance, Standard Deviation
– grouped data sets
– Sample vs. population
• Expected Value
• Fair game
• Bernoulli Trials (Binomial Distribution)
– mean, standard deviation
– expected value
– n, p, q, r
• Chebyshev’s inequality
∗ random variable Z
∗ µ = 0 and σ = 1
• calculator commands
– binomcdf
– binompdf
– 1var stats
– 1 var stats L1 , L2
– normalpdf
– normalcdf
• Any additional topic discussed in class.