Page 20 - Statistics II for Dummies

4 Statistics II For Dummies

part’s major objective into understandable pieces. The nonlinear setup
of this book allows you to skip around and still have easy access to and
understanding of any given topic.

Part I: Tackling Data Analysis
and Model-Building Basics

This part goes over the big ideas of descriptive and inferential statistics
and simple linear regression in the context of model-building and decision-
making. Some material from Stats I receives a quick review. I also present you
with the typical jargon of Stats II.

Part II: Using Different Types of
Regression to Make Predictions

In this part, you can review and extend the ideas of simple linear regression
to the process of using more than one predictor variable. This part presents
techniques for dealing with data that follows a curve (nonlinear models) and
models for yes or no data used to make predictions about whether or not an
event will happen (logistic regression). It includes all you need to know
about conditions, diagnostics, model-building, data-analysis techniques, and
interpreting results.

Part III: Analyzing Variance with ANOVA

You may want to compare the means of more than two populations, and that
requires that you use analysis of variance (ANOVA). This part discusses the
basic conditions required, the F-test, one-way and two-way ANOVA, and
multiple comparisons. The final goal of these analyses is to show whether the
means of the given populations are different and if so, which ones are higher
or lower than the rest.

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