The Practically Cheating Statistics Handbook: How It Can Help You Improve Your Grades and Confidence in Statistics
Practically Cheating Statistics Handbook: A Review
Statistics is a subject that many students find challenging and confusing. Whether you are taking a statistics class for the first time or need a refresher, you might be looking for a book that can help you understand the concepts and methods of statistics in a simple and easy way. If so, you might want to check out The Practically Cheating Statistics Handbook, a book that claims to be "the simplest way to ace statistics".
Practically Cheating Statistics Handbook Free 31 logisiel blues 6.4.2
In this article, we will review this book and its companion guide for the TI-83 calculator. We will look at what the book is about, who wrote it, what it covers, how it explains statistics, how it uses the TI-83 calculator, what are its pros and cons, and how it can help you with your statistics course. By the end of this article, you will have a better idea of whether this book is worth buying or not.
What is The Practically Cheating Statistics Handbook?
The Practically Cheating Statistics Handbook is a book that aims to make statistics easy and fun for students who struggle with math. It is written by S. Deviant MAT, a college and university statistics teacher who has a master's degree in math and is a member of several honors societies. The book was first published in 2010 and has since been updated with a third edition in 2011.
Who is the author and what are his credentials?
The author of The Practically Cheating Statistics Handbook is S. Deviant MAT, a pseudonym for Stephanie Deviant. She has been teaching college and university statistics since 2006. She is also the co-author of another textbook called Sirius Elementary Statistics, published by Houghton Mifflin. She holds a master's degree in math from Florida Atlantic University and is a member of Psi Mu Epsilon (the mathematics honors society) and Kappa Delta Pi (the education honors society).
What are the main features and benefits of the book?
The main features and benefits of The Practically Cheating Statistics Handbook are:
It covers all the topics that are typically taught in an introductory statistics course, such as probability, distributions, hypothesis testing, confidence intervals, correlation, regression, ANOVA, chi-square tests, etc.
It explains each topic in a clear and concise way, using plain language and avoiding jargon.
It provides examples, diagrams, tables and formulas to illustrate each concept and method.
It gives tips and tricks to help students avoid common mistakes and pitfalls.
It includes a bonus TI-83 Companion Guide that shows how to use the TI-83 calculator to solve various statistics problems.
It helps students improve their grades and confidence in statistics.
How is the book organized and structured?
The Practically Cheating Statistics Handbook is organized into 12 chapters, each covering a different topic in statistics. The chapters are:
Binomial Probability Distributions
Sampling Distributions and the Central Limit Theorem
Correlation and Regression
ANOVA (Analysis of Variance)
The book follows a logical and sequential order, starting from the basics of probability and moving on to more advanced topics. Each chapter begins with an introduction that summarizes the main points and objectives of the chapter. Then, it explains each concept and method in detail, using examples, diagrams, tables and formulas. At the end of each chapter, there is a summary that reviews the key terms and concepts of the chapter. There are also practice problems and answers that allow students to test their understanding and skills.
What topics does it cover and how does it explain them?
The Practically Cheating Statistics Handbook covers all the topics that are typically taught in an introductory statistics course. Some of the topics that it covers are:
How to find the probability of simple and compound events, using formulas, trees, Venn diagrams, etc.
How to work with binomial distributions, using formulas, tables, graphs, etc.
How to find the area under the normal distribution curve, using z-scores, tables, graphs, etc.
How to use the sampling distribution of the mean and the central limit theorem to make inferences about population parameters.
How to conduct hypothesis testing for one or two means or proportions, using z-tests, t-tests, p-values, etc.
How to construct confidence intervals for one or two means or proportions, using z-scores, t-scores, margins of error, etc.
How to measure and interpret correlation and regression between two variables, using scatterplots, formulas, coefficients, etc.
How to compare two or more means using t-tests or ANOVA, using assumptions, F-tests, post-hoc tests, etc.
How to test for independence or homogeneity using chi-square tests, using contingency tables, expected frequencies, degrees of freedom, etc.
How to use nonparametric tests such as Mann-Whitney U test, Kruskal-Wallis test, Wilcoxon signed-rank test, etc. when parametric assumptions are violated.
How to deal with miscellaneous topics such as outliers, transformations, standard error of the mean, coefficient of variation, etc.
The book explains each topic in a clear and concise way, using plain language and avoiding jargon. It breaks down each concept and method into simple steps that are easy to follow. It also provides tips and tricks to help students avoid common mistakes and pitfalls. For example:
"When you're finding proba