1/16/2013
Types of Variables
- A quantitative variable is a variable that takes
on numerical values for which arithmetic makes sense.
- A categorical or qualitative variable is a variable
that records which category a person place or thing falls into.
Questions about data
- What variables are being measured?
- Are these variables appropriate for answering the
question(s) of interest?
- What are the units of measurement?
- How are the data recorded?
Graphical Displays
- Why are graphing techniques useful?
- Examine the overall shape of a distribution - (symmetric
or skewed?)
- Look for deviations from the overall shape - (unusual
observations, gaps, etc.)
- Locate the center of the distribution
Stem and Leaf Plots
- Separate each observation into a stem and a leaf.
- List the stems vertically in increasing order from
top to bottom.
- Add the leaves (typically the last digit) to the
right of the stems.
Histograms
- Divide the range of the data into classes of equal
width.
- Count the number of observations in each class.
- Compute the relative frequency or percent for each
class.
- Erect bars over each class interval.
Graphical Displays with Minitab (Open p:\data\math\hartlaub\SportsStats\Day1 F2013.mtw)
- Bar Charts (Graph > Bar Chart)
- Pie Charts (Graph > Pie Chart)
- Dotplots (Graph > Dotplot)
- Stemplots (Graph > Stem-and-Leaf)
- Histograms (Graph > Histogram)
Comments and Questions on Chapter 1 Reading
Introduction to Simulation
Class exercises - Getting comfortable with Minitab
- Compare (graphically and numerically) the reaction times of women and men.
- Compare (graphically and numerically) the reaction times of different classes.
- Compare (graphically and numerically) the reaction times of varsity athletes with those students who are not varsity athletes.
- Replicate the simulation methods used in the examples for Chapter 1. Are your results exactly the same? Are your conclusions the same?
Reading Assignment -
Please read Chapter 2 for class on Friday.