![online statbook online statbook](https://i.pinimg.com/originals/d4/1a/21/d41a21cd6f13d6b1732b4c0899139afd.jpg)
The book sometimes uses different notation than other entry-level books. Some of the examples are dated (e.g., salaries from 1999), but not problematic.Īll of the key terms, formulas, and logic for statistical tests are clearly explained. When a particular method or practice is debated in the field, the authors acknowledge it (and provide citations in some circumstances).īasic statistics are standard, so the core information will remain relevant in perpetuity. I did not find any errors or issues of inaccuracy.
#Online statbook full#
Doesn’t include full probability distribution tables (e.g., t or Z), but those can be easily found online in many places.
#Online statbook how to#
Inferential statistics include how to calculate confidence intervals, as well as conduct tests of one-sample tests of the population mean (Z- and t-tests), two-sample tests of the difference in population means (Z- and t-tests), chi square test of independence, correlation, and regression. Building blocks for inferential statistics include sampling distributions, the standard normal curve (z scores), and hypothesis testing sections. Descriptive statistics include all major measures of central tendency and dispersion/variation. Background areas include levels of measurement and research design basics. Reviewed by Audrey Hickert, Assistant Professor, Southern Illinois University Carbondale on 3/29/21Īll of the major topics of an introductory level statistics course for social science are covered. Especially as it is available on-line and in Open Access. As I no longer teach a full statistics course but simply a few lectures as part of our Research Curriculum, I am recommending this book to my students as a good reference. The length of the textbook appears to be more than adequate for a one-semester course in Introduction to Statistics. Overall I found this to be a excellent in-depth overview of Statistical Theory, Concepts and Analysis. I saw no issues and I am part of a cultural minority in the US The textbook flows easily from Descriptive to Inferential Statistics with chapters on Sampling and Estimation preceding chapters on hypothesis testingĪll textbooks have a few errors but certainly nothing glaring or making text difficult Exercises are available at the end of each chapter making it easy for the instructor to assign reading and exercises to be discussed in class. For example the chapter (Chapter 3) on Summarizing Distributions covers Central Tendency and its associated components in an easy 20 pages with Measures of Variability making up most of the rest of the chapter and covering approximately another 20 pages. The text dose lend itself to reasonable reading assignments. The text is consistent throughout using the same verbiage in various sections. However the background is there to allow the instructor to derive these in class if desired. I found that the derivation of some of the formulas was not explained. This is a Statistics text so a little dry. Some of the examples may need updating depending on the times but the examples are still relevant at this time. Did not work out all of the questions and answers but my sampling did not reveal any errors. It covers subjects in enough depth to fulfill the needs of a beginner in Statistics work yet is not so complex as to be overwhelming. This appears to be an excellent textbook for an Introductory Course in Statistics. Reviewed by Emilio Vazquez, Associate Professor, Trine University on 4/23/21 These additional resources are very helpful and not always available with online OER texts. The author offers to provide an instructor's manual, PowerPoint slides and additional questions. I liked that the Monty Hall problem was included in the probability section. It seems like it would be a good choice for most introductory statistics courses. I had no problem navigating the text online. Regression comes later in the text but there is a difference of opinions about whether to present it early with descriptive statistics for bivariate data or later with inferential statistics. The topics are presented in the usual order.
![online statbook online statbook](http://www.atlas101.ca/pm/wp-content/uploads/2016/05/Dice.jpg)
The text is well organized into sections making it easy to assign individual topics and sections. I found it was easy to read and understand and I expect that students would also find the writing clear and the explanations accessible.Įven with different authors of chapter, the writing is consistent. And the frequent use of male/female examples need updating in terms of current gender splits. In addition, it has some additional topics that are useful. This text covers all the usual topics in an Introduction to Statistics for college students. Reviewed by Professor Sandberg, Professor, Framingham State University on 6/29/21 Journalism, Media Studies & Communications +.