**Statistics Beyond the Absolute Basics**

by Ivan Lowe

**Publisher**: scientificlanguage.com 2018**Number of pages**: 182

**Description**:

After a review of free statistics programs, and web sources for further study, the book begins by expanding on some of the basic concepts such data types and variables. Great emphasis is put on various easy ways of describing data. This must precede anything more sophisticated. The basic choice then is between the family of statistics which compares groups, and the family which studies associations or correlations. Only then, once these three major areas of statistics are mastered, students are ready for more detail in the choice of statistical test. At this point the old statistics, with its emphasis on significance testing and the null hypothesis is presented, then thoroughly critiqued.

Download or read it online for free here:

**Download link**

(6MB, PDF)

## Similar books

**Principles of Uncertainty**

by

**Joseph B. Kadane**-

**Chapman and Hall/CRC**

An accessible, comprehensive guide to the theory of Bayesian statistics, this book presents the subjective Bayesian approach, which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods.

(

**6633**views)

**Causal Inference**

by

**Miguel A. Hernan, James M. Robins**-

**Chapman & Hall/CRC**

The book provides a cohesive presentation of concepts of, and methods for, causal inference. It will be of interest to anyone interested in causal inference, e.g., epidemiologists, statisticians, psychologists, economists, sociologists, and others.

(

**5812**views)

**Statistical Tools for Economists**

by

**Daniel McFadden**-

**University of California, Berkeley**

The contents: Economic Analysis and Econometrics; Analysis and Linear Algebra in a Nutshell; Probability Theory in a Nutshell; Limit Theorems in Statistics; Experiments, Sampling, and Statistical Decisions; Estimation; Hypothesis Testing.

(

**16747**views)

**Bayesian Networks: Advances and Novel Applications**

by

**Douglas McNair (ed.)**-

**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.

(

**1016**views)