Exam #2 Outline

Major concepts from the following sections covered:

3-2: Variation

Calculate and interpret Interquartile Range
Calculate and interpret sample standard deviation

3-3: Mean and Standard Deviation:

Empirical Rule applications
Tchebysheff's Theorem application
z-score calculation and interpretation

5-1: Normal Distribution

Standardizing
Using the standard normal table
Finding probabilities based on z-scores
Finding z-scores and data values based on given probabilities

5-2: Other Distributions

Uniform distribution definition and find probabilities: P(c < x < d) = (d-c)(1/[b-a])
Exponential distribution definition and find probabilities: P(x < c) = 1-exp(-lc)

6-2: Sampling Distributions

Mean and standard deviation for "x-bar"
Central limit theorem and its use
Calculating probabilities for "x-bar"