Exam II info:

What to bring:

  pencil and eraser
  no calculators
  copy of Tables 1 and 2 will be provided

Calculus:  Know how to

  Integrate/differentiate polynomials
  Integrate/differentiate exponentials
  Differentiate natural log (ln)
  
Sections covered:

  Chapter 4, sections 4.1-4.4
  Chapter 5, sections 5.1-5.3
  Chapter 6, sections 6.1 & 6.3, but NOT 6.2
  Chapter 7, sections 7.1 & 7.2

HW's covered:  HW's 5 through 9, but not 10

The following list of topics is not guaranteed
to be exhaustive but is a good place to start for reviewing:

Chapter 4:  Know the following

  Definition of Cumulative Probability Distribution Functions (CDF)
  How to compute probabilities of RV given its CDF
  Definition/properties of probability mass function (PMF)
  How to compute probabilities using PMF
  Meaning/use of expectation in decision-making
  How to compute expectations of discrete RV's
  When expectation exists
  Law of Unconscious Statistician
  How to compute mean, variance, and standard deviation of
    discrete RV's

Chapter 5:  Know the following parametric discrete RV's** and when
  how to use them, THIS INCLUDES KNOWING THEIR PMF's:

  Bernoulli
  Binomial
  Geometric
  Negative Binomial
  Hypogeometric
  Poisson
  Approximating binomial using Poisson
  
  Know the formulas for the binomial mean, variance, and standard deviation
    in terms of n and p
  Know the formulas for the Poisson mean, variance, and standard deviation
    in terms of lambda

  ** Most of these are provided in Table 3 on page 633.

  
Chapter 6:  Know the following concerning continuous RV's

  Definition/properties of probability density function (PDF)
  How to compute CDF from PDF and vice versa
  How to compute probabilities using PDF's
  How to compute expectations of continous RV's
  When expectation exists
  Law of Unconscious Statistician
  How to compute mean, variance, and standard deviation of
    continuous RV's

Chapter 7:   Know the following
  Uniform(a,b) RV's and how to use them INCLUDING KNOWING THE PDF
  Normal RV's including
    Standard normal probability calculations using Tables 1 and 2 (will be provided)
    Non-standard normal probability calculations
    Calculating percentiles of standard/non-standard normal RV's
  Normal approximation to binomial using continuity correction