Stat Trek's Advanced Placement (AP) Statistics tutorial
has been carefully developed to help you master the
Advanced Placement Statistics Examination.
This tutorial provides accurate and complete coverage
of the AP Statistics curriculum.
Researchers draw conclusions under uncertainty. This introduction to probability theory explains
how to quantify the uncertainty inherent in research inferences. It covers discrete probability models
like the binomial and continous models like the normal distribution.
allows you to predict scores on one variable, based on scores on one or more other variables. This
practical tutorial is packed with clear explanations and hands-on examples to guide you through
the fundamentals of simple and multiple regression.
This tutorial explains how to use analysis of variance to assess the effect of one or more treatment factors on a single interval- or ratio-scale variable.
Describes critical assumptions and computations through clear, easy-to-understand examples.
Saavy statisticians use probability samples when they conduct survey research.
This tutorial describes three probability methods for selecting and analyzing sample data - simple random sampling,
stratified sampling, and cluster sampling.
This tutorial is an easy-to-understand introduction to
matrix algebra, emphasizing matrix methods that are widely
used in advanced statistics.
After completing this tutorial, you will be familiar with
matrix nomenclature, matrix notation, and common
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