Introductions Agenda
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About Me
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3rd Year PhD Student, Statistics BS in Math from the University of Rochester Email: [e-mail] Hobbies: Electric Violin and Weightlifting Halloween 2007:
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WaLuigi
About You
l Name l Preferred l Year l Something
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Name interesting about you
Pets? Play an instrument? Favorite food?....
Highlights from the syllabus
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free to contact me:
[e-mail]
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sure you understand:
The grading policy Participation The homework policy The lab attendance policy
Types of Variables
l Categorical
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Category values (gender, year in school) Graphs
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Bar chart
l Quantitative
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Numerical values (age, income) Graphs
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Histogram Boxplot
Quantitative Variables
l The
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distribution is often described by its shape. Some words we use include:
Bell-shaped Uniform Skewed Bimodal
Quantitative Variables
l Numerical
summaries (when appropriate) of a set of quantitative data describes either the location or the spread of the data. l Location is described by:
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Mean: The arithmetic of average the members of the data set Median: The middle values of the data, when arranged from smallest to largest
Quantitative Variables
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spread of the data is shown by:
The range: the highest value minus the lowest value. The Interquartile range: Q3-Q1
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Q3=the third quartile, or 75th percentile. Q1=the first quartile, or 25th percentile.
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The median, quartiles, and extremes (min, max) are often shown together in a five number summary.
Graphs
l Boxplots
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Graph of 5-number summary Tells about outliers Graph of frequency of values Tells about shape of distribution
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l Histograms
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Symmetry Modality
Module 1: Activity 1
l Visualizing
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and Exploring a Data Set
ctools stats 350 o resources lab info Data Sets for Lab and HW employee data.sav
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Save to desktop
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Programs A Math and Statistics
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PASW 17.0
Or SPSS 16.0
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Open an existing data source Employee.sav data set
Module 1: Activity 2
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Mean and the Median
http://onlinestatbook.com/stat_sim/descriptive/ind ex.html Ctools->250 Fall->lab info->applets for modules-> module 1 activity 2