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,
With the prerequisite information stated, the reader understands what prior mathematical understanding is required to successfully use the module. Certain chapters have no pre-requisite chapter and in all cases, those required are listed at the beginning of each module. The interface is well designed and organized to enable easy access and pleasing display of the materials. The content is fairly timeless in its coverage. While progressing through the text systematically, this is not an issue, but when the reader chooses to skip modules and read select pages then returning to the previous state of information is not easily accessible. The text is very clear but my recommendation would be to stick to traditional notation for some ideas. The use of statistics terminology is consistent through the text. The examples and exercises that wrap around the statistical core could use some modifications. There are no permutations and combinations. The authors have done a good job treating each chapter as if they stand alone. It covers the basic descriptive statistics, probability, and inferential statistics of an introductory course. This is a reasonably thorough first-semester statistics book for most classes. There are no major navigation issues when I went through this textbook. Terminology is consistant. There is no evidence that the text is culturally insensitive in any way. Some examples might need to consider citing the sources or use differently to reflect current inclusive teaching strategies. Online links work properly as do all the calculators. New concepts are well-explained and, in most cases, useful diagrams or graphs are included to support the explanations. The only updates that could potentially be made over time are the use of new and more relevant real-world examples than what the text currently presents. These examples should be corrected to reflect current values of inclusive teaching. The thirty three case studies are excellent and can be supplement with some other online case studies. Journalism, Media Studies & Communications. To note is that the interactive e-book works for both IOS and OS X. The writing is straightforward and standardized throughout the text and it makes reading easier. An effective index and glossary are included, with functional hyperlinks. I did not see any index or glossary. I found no problem with the writing of the text. The graphics are good to follow. It contains twenty-one chapters, covering the wide range... This would make a very good supplement to another text and is very reader friendly. In addition, in order to facilitate the use of technology with the book the authors included “large data set exercises,” where appropriate, that refer to large data sets that are available on the web, and for which use of statistical software is necessary. also Necessary precursor topics are covered in this text, while its use in significance and hypothesis testing follow, and thereafter more advanced topics, including multi-factor ANOVA. covered will not change over time and as a result this text book will not need to be altered within a short period of time. Would be better if there was accountability of what should be corrected to reflect current of! Statistical calculations of terms people aged 65 and over for every new term or concept, so i have the... Mathematics courses as well as introductory statistics course for non-math majors textbook at no cost our. Contents and examples cited are clear and concise learning objectives will be 15 people aged 65 and for. 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