• types of samples
  
• considerations for sample size
  
  • accuracy v. cost trade-off
    
• confidence intervals (margin of error)
  
  • understand the interpretation of such intervals
    
• central limit theorem

• understand the concepts of:
  
  • variables
    
  • cases
    
  • values
    

• frequency distributions
  
• measures of central tendency
  
  • mean
    
  • median
    
  • mode
    
    • be sure to know how to tell which measures are most appropriate for any given variable
      
      • level of measurement
        
      • skewed distributions
        
• measures of dispersion
  
  • standard deviation
    
• z-scores

[Calculation of statitistics will not be important, but you should be able to interpret what these statistics mean, ie. you should have some basic understanding of how they are derived]