Logo

Statistics by Philip B. Stark

Statistics
by

Publisher: University of California, Berkeley

Description:
This text was written for an introductory class in Statistics suitable for students in Business, Communications, Economics, Psychology, Social Science, or liberal arts; that is, this is the first and last class in Statistics for most students who take it. It also covers logic and reasoning at a level suitable for a general education course.

Home page url

Download or read it online for free here:
Read online
(online reading)

Similar books

Book cover: Learning Statistics with RLearning Statistics with R
by - University of Adelaide
This is an introductory statistics textbook pitched primarily at psychology students. It covers the standard topics of such a book: study design, descriptive statistics, the theory of hypothesis testing, t-tests, X2 tests, ANOVA and regression.
(15900 views)
Book cover: Bayesian Networks: Advances and Novel ApplicationsBayesian Networks: Advances and Novel Applications
by - IntechOpen
Bayesian networks have recently experienced increased interest and diverse applications in numerous areas, including economics, risk analysis, assets and liabilities management, AI and robotics, transportation systems planning and optimization, etc.
(4845 views)
Book cover: Lies, Damned Lies, or Statistics: How to Tell the Truth with StatisticsLies, Damned Lies, or Statistics: How to Tell the Truth with Statistics
by - Colorado State University, Pueblo
This is a first draft of a free textbook for a one-semester, undergraduate statistics course. Contents: One-Variable Statistics - Basics; Bi-variate Statistics - Basics; Linear Regression; Probability Theory; Bringing Home the Data; Basic Inferences.
(4738 views)
Book cover: Dynamic Programming and Bayesian Inference: Concepts and ApplicationsDynamic Programming and Bayesian Inference: Concepts and Applications
by - InTech
Dynamic programming and Bayesian inference have been both intensively and extensively developed during recent years. The purpose of this volume is to provide some applications of Bayesian optimization and dynamic programming.
(8208 views)