Any characteristic of interest regarding an individual
2 types of Variables
Takes on numerical values that make sense
Place individual into groups or categories
Listing of all possible values of a variable and how often they occur
Data Examples: gender, opinion, region Pie Charts Bar Graphs
Data Examples: unemployment rates, stock prices, etc.
-A graph that shows the distribution of a quantitative set -Puts the data into numerical groupings -Finds out how many data values lie in each grouping -Makes a graph showing the numerical groupings on the X axis and the number of data values on the Y axis
Shape of Distribution
Symmetric- looks about the same on either side of center Skewed Right- Majority of data is on the left with outliers off to the right Skewed Left- Majority of data is on the right with outliers off to the left Flat: Everything is ABOUT the same same size
Midpoint- roughly half of the data falls on each side
Min and max values
-Remember if the Histogram is flat then that means there is A LOT of variability but if a time plot is flat then that means there is low variability.
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