You will be able to know, 
            explain and use the following 
            vocabulary:
             Individual                  Count
             Variable                    Percent
             Categorical Variable        Bar Graph
             Quantitative Variable       Pie Chart
             Distribution                Dotplot
             Exploratory Data            Stemplot
              Analysis                    Center, Spread, Shape
                                          Outlier
      Here are some definitions:
       Individual : Objects described by a set 
        of data.  They may be people, animals, 
        things, etc.
       Variable : Any characteristic of an 
        individual.  The variable will likely take 
        on different values for different 
        individuals.
       (Can you think of some more examples?)
       … more definitions:
        Categorical Variable : A variable which 
        focuses on a characteristic of an 
        individual, allowing it to be placed into one 
        of several groups or categories.
        Quantitative Variable : A variable which 
        focuses on a characteristic of an individual 
        that takes on numerical values for which 
        arithmetic operations can be performed.
        (Can you think of some more examples?)
      … more definitions:
       Distribution : a way of demonstrating 
       what values a variable take on and 
       how often it takes each value.
       Exploratory Data Analysis : Using 
       statistical tools to examine data and 
       describe its main features.  Comparing 
       variables, providing graphs and doing 
       numerical summaries are specific 
       strategies.
       … more definitions:
        Count : The number of observations that 
        fall into a particular category, when 
        analyzing individuals with a categorical 
        variable.
        Percent : The percentage of observations 
        that fall into a particular category, when 
        analyzing individuals with a categorical 
        variable.  This is found by dividing the 
        count by the total number of observations.