1. Know the terms frequency vs. relative frequency, and be able to read or construct, based on a given set of data, a frequency distribution, a histogram (a.k.a. a bar chart), a frequency polygon (a.k.a. a line graph), and/or a circle graph (a.k.a. a pie chart).
    
2. Be able to calculate grade point average (g.p.a.):

   1 credit hour of A = 4 grade points	g.p.a. =   total # grade points                  total # of credit hours
   1 credit hour of B = 3 grade points
   1 credit hour of C = 2 grade points
   1 credit hour of D = 1 grade points
   1 credit hour of F = 0 grade points

   
   
3. Be able to calculate various sports statistics: 
   Baseball —
      Batting Average  =  # of Hits ÷ # of At-Bats
      Slugging Average  =  # of Bases (attained from hits) ÷ # of At-Bats
      Earned Run Average  =  # of (earned) Runs ÷ # of Games
   Basketball —
      Free Throws are worth 1-point each.
      Field Goals are worth either 2-points or 3-points.
   Racing —
      distance = speed × time,  speed = distance ÷ time,  time = distance ÷speed
    
4. Be able to calculate the mean ( x or µ), median (MD), and/or mode (m) for a given set of data.  Analyze these measures of central tendency (averages) in order to assess what they indicate about a given set of data.
    
5. Be able to calculate the range (r), variance (σ ²), and/or standard deviation (σ) for a given set of data.  Analyze these measures of dispersion (variability) in order to assess what they indicate for a given set of data.
    
6. Know the basic characteristics of a normal distribution, and be able to make inferences based on a given set of data (using Figure 1 in the section 3 Notes, p.4.3.1).
    
7. Know how to apply the standard normal distribution (using the Standard Normal Distribution of z-score Interval Area Percentages) in order to analyze any normally distributed population data.  Solve application problems by calculating z-scores to find percentages of  data in an interval, and vice versa...