art@caloxy.com
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INTRODUCTION TO STATISTICS FOR MANAGERS AND NON-STATISTICIANS
CHAPTER HEADINGS
1 COURSE INTRODUCTION
2 USING SAS ON THE PC
3 EXPERIMENTAL DESIGN
4 ABOUT THE DATA
5 DESCRIPTIVE STATISTICS
6 PROBABILITY DISTRIBUTIONS
7 DATA EXPLORATIONS
8 ESTIMATION OF STATISTICS
9 HYPOTHESIS TESTING
10 ANALYSIS OF VARIANCE (ANOVA)
11 REGRESSION ANALYSIS
12 NONPARAMETRIC STATISTICS
13 ADVANCED TOPICS
This course is designed for the manager and researcher who must, through the course of events, come into contact with statisticians and statistical analyses. The study and application of statistics has become a very specialized field and, as with many specialties, it has developed its own jargon and ways of doing things.
Managers and many researchers are not always in the position to keep up with the application of the latest statistical techniques. Many of them may have had a statistics class or two during their college career, however, one or two courses of undergraduate statistics does not a statistician make. The manager must therefore interface with statisticians and/or the statistical results of analyses without sufficient tools to realize the maximum benefit.
This course is designed to assist the manager or researcher with the verbiage and jargon necessary to communicate with statisticians and the tools to read and understand basic computer generated output from statistical analyses.
COURSE OBJECTIVES
After successful completion of this course, the participant should be able to:
Understand the basic terminology used by statisticians
Generate basic statistics from SAS data sets
Produce exploratory data plots
Use the variance, standard error and confidence bounds
Understand the basics of hypothesis testing
Perform a simple Analysis of Variance and read the generated output
Perform simple regression analyses and interpret the results
Use and understand nonparametric statistical techniques
Have a familiarity with selected advanced topics
This course will not create statisticians. It does, however, provide the researcher with the tools and confidence to deal with statisticians and statistical analyses.
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