Module 1: Introduction
to Statistics.
Webpage
Slides
Module 2:
Displaying Data.
Webpage
Slides
M2_data01.txt
M2_data01.sav
Module 3:
Describing Data.
Webpage
Slides
M3_BigOilData.txt
M3_BigOilData.sav
M3_LittleOilData.txt
M3_LittleOilData.sav
Module 4:
Z-scores, Normal Distributions, Simple Probability.
Webpage
Slides
Module 5:
Introduction to Hypothesis Testing.
Webpage
Slides
Module6:
Hypothesis Testing with Sample Means.
Webpage
Slides
Supplemental Handout
Module 7:
Additions to Statistical Significance
Webpage
Slides
Module 8:
Introduction to t tests.
Webpage
Slides
Supplemental
Handout
Module
8.5: Review Slides
Module 9:
Analysis of Variance.
M 9.1: One-way Analysis of Variance
Webpage
Slides
Supplemental
Handout
Data:
M91_Data.txt
M91_Data.sav
Module 10:
Linear Ordinary Least Squares Regression
M 10.1: Bivariate Regression
Webpage
Slides
Data:
m10sample.txt
m10sample.sav
m10population.txt
m10population.sav
Module 11:
Nominal and Ordinal Data Analysis
Webpage
Slides
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Online statistics textbooks:
Hyperstat
(Basic &
Fundamental levels)
Statnote
(All levels)
SPSS Home
SAS Institute
Fairly comprehensive
comparison of just about all statistical software packages:
Wiki
Don't
want to pay for SPSS? Then get
PSPP
for free!! PSPP is
extremely similar to SPSS; but free!
Need to calculate
a-priori power/sample size? Check out
Gpower
(it's free).
The Toolbox:
The RSS
DIY Introduction to R short course
The RSS
SPSS
short course
The RSS
SAS short course
The RSS
LaTeX2HTML short course tutorial
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