The text would be a great resource for students. I found the contents in the book to accurate and unbiased. Reviewed by Alexandra Verkhovtseva, Professor, Anoka-Ramsey Community College on 6/3/19, This is a comprehensive enough text, considering that it is not easy to create a comprehensive statistics textbook.

Descriptive statistics summarizes numerical data using numbers and graphs. It would have worked well for the general statistics courses I have taught in the past but is not as suitable for specialized introductory statistics courses for... As the title implies, this is a brief introduction textbook. read more. Introduction to Statistics Introduction, examples and deﬁnitions Introduction We begin the module with some basic data analysis. The book's cultural relevance comes out in the case studies. 2. Definitions are set off from the text in boxes. Recent trends in teaching introductory statistics have emphasized statistics as a part of scientific investigations. Collectively these topics form a useful (and standard) foundation for learning statistics. There is a fine line between being concise and clear, which this textbook does well, and being somewhat dry. The topics are presented well, but I recommend placing Sampling Distributions, Advanced Graphs, and Research Design ahead of Probability in the text. This textbook is extremely consistent internally. The statistical formulas and calculations have been used for centuries. He earned a PhD in Statistics at Rutgers University in New Jersey. On the other hand BCCampus might consider having the textbook translated into other languages as its contribution.

,

read more. maybe more software technology Updated hourly. Often times I like to teach a few topics out of order or merge topics within various chapters together in order for me to explain material better. "Statistics is the branch of scientific method which deals with the data obtained by counting or measuring the properties of populations of natural phenomena. The book contains well organized chapters that makes reading through easy and understandable. It will be very easy to update it or make changes at any point in time because of the well-structured contents in the textbook. "Interquartile range" is simply a better, more descriptive term of the concept that it describes. The content is current with the traditional, non-randomization, approach to statistical inference. It may be up to the instructor to bring case studies into the readings we are going through the topics rather than wait until the end of the chapter. For 1st year students early chapters on graphs and distributions would be the starting point, omitting later chapters on Chi-square, transformations, distribution-free and size effect chapters. There isn't much changing in the introductory stats world, so I have no concerns about the book becoming outdated rapidly. It should also be pointed out that while there are a couple of chapters on probability, this book spends presents most formulas as "black boxes" rather than worry about the derivation or origin of the formulas. There were acouple of typos like x-bar with the bar after instead of above the x in one place,but that was not a significant problem. read more,