This class will cover basic concepts and methods of elementary probability and quantitative reasoning, with practical applications. Topics include: sample average and stan- dard deviation, normal curves, regression, expected value and standard error, confidence intervals and hypothesis tests. You will see that our text will emphasize the underlying ideas rather than memorization of definitions and formulas
Statistics is the methodology for measuring uncertainty and determining the logical conse-quences of...
This Saylor course will focus on the properties behind the basic concepts of probability and statist...
Written by three veteran statisticians, this applied introduction to probability and statistics emph...
This class will cover basic concepts and methods of elementary probability and quantitative reasonin...
The goal of this course is to introduce students to the basic probability theory and mathematical st...
Based on lecture notes given to first-year undergraduates, this textbook provides an elementary intr...
This tutorial, created by Harvey Berman of Stat Trek, provides a basic introduction to many topics i...
Based on lecture notes given to first-year undergraduates, this textbook provides an elementary intr...
This course is a self-contained introduction to statistics with economic applications. Elements of p...
This calculus-based introduction to probability covers all of the traditional topics, along with a s...
This book offers an introduction to concepts of probability theory, probability distributions releva...
In this course, the student will learn the basic terminology and concepts of probability theory, inc...
This clear and lively introduction to probability theory concentrates on the results that are the mo...
Probability and statistics are fascinating subjects on the interface between mathematics and applied...
This gracefully organized text reveals the rigorous theory of probability and statistical inference ...
Statistics is the methodology for measuring uncertainty and determining the logical conse-quences of...
This Saylor course will focus on the properties behind the basic concepts of probability and statist...
Written by three veteran statisticians, this applied introduction to probability and statistics emph...
This class will cover basic concepts and methods of elementary probability and quantitative reasonin...
The goal of this course is to introduce students to the basic probability theory and mathematical st...
Based on lecture notes given to first-year undergraduates, this textbook provides an elementary intr...
This tutorial, created by Harvey Berman of Stat Trek, provides a basic introduction to many topics i...
Based on lecture notes given to first-year undergraduates, this textbook provides an elementary intr...
This course is a self-contained introduction to statistics with economic applications. Elements of p...
This calculus-based introduction to probability covers all of the traditional topics, along with a s...
This book offers an introduction to concepts of probability theory, probability distributions releva...
In this course, the student will learn the basic terminology and concepts of probability theory, inc...
This clear and lively introduction to probability theory concentrates on the results that are the mo...
Probability and statistics are fascinating subjects on the interface between mathematics and applied...
This gracefully organized text reveals the rigorous theory of probability and statistical inference ...
Statistics is the methodology for measuring uncertainty and determining the logical conse-quences of...
This Saylor course will focus on the properties behind the basic concepts of probability and statist...
Written by three veteran statisticians, this applied introduction to probability and statistics emph...