Like some other authors, the authors of this text have chosen to cover inference for a mean before inference for a proportion. The text assumes some knowledge of intermediate algebra and focuses on statistics … Each module... The examples and exercises are often US-centric. CC BY-NC-SA, Reviewed by Zhifang Yin, Instructor, Bunker Hill Community College on 6/8/20, Overall the book is quite solid. It is the standard organization for an introductory statistics text. Yes, it is consistent (including reliance on the computationally efficient formulae which I do not like). Reviewed by Ilgin Sager, Assistant Professor, University of Missouri - St. Louis on 1/14/19, As the title implies, this is a brief introduction textbook. I currently use many textbooks for introductory statistics that are over 5 years old to write lecture slides and generate example problems and have found that many changes were not needed when using older books. Throughout the text the authors provide explanations of how data is presented and used. If you are a beginner in statistics, then, this book is for you. I used it as a pdf, I am not sure whether there is an interactive version. This textbook offers a fairly comprehensive summary of what should be discussed in an introductory course in Statistics. Well explained, though maybe could use some more interesting examples; and maybe could use some definitions comparison etc. SPSS: Stats Practically Short and Simple. The text in pdf form appeared to free of grammatical errors, as did the on-line version, text, graphics and videos. The content is accurate. This textbook is extremely consistent internally. However, there are some issues with table of contents and page numbers, for example chapter 17 starts in page 597 not 598. In this way, the text is interactive and flexible, offering varied tools for students. An instructor’s manual is available by request. A teacher can use this book as the sole text of an introductory statistics. It would be helpful to have the statistical tables... The topics are presented well, but I recommend placing Sampling Distributions, Advanced Graphs, and Research Design ahead of Probability in the text. read more. These examples need to be corrected to reflect current inclusive teaching strategies. It says you can use the normal distribution instead of the t-distribution if n > 30 (It has the standard table of the t-distribution for up to 100 degrees of freedom). Making these changes to the existing online HTML files would be relatively easy and straightforward to implement.

,

There are no major navigation issues when I went through this textbook. The content of this text is accurate and error-free, based on a random sampling of various pages throughout the text. There is a good index and glossary. Definitions are set off from the text in boxes. It is certainly arranged in ways that would make altering it -- for example, to update it or make less US-centric it -- pretty straightforward.

,

• Men are at least 10 times more likely than women to commit murder. The binomial distribution is presented as a formula... The organization of material is similar in each chapter

,

Probability and related concepts are covered across four chapters (chapters 3-6). I could find no grammatical or spelling mistakes in this text.

,

The contents and examples cited are clear and explained in simple language. There is no evidence that the text is culturally insensitive in any way. That might be a matter of individual preference. I'm not sure how well this book would work internationally as many of the examples contain domestic (American) references. They are addressed logically and given adequate coverage. In addition, there are several topics that go somewhat beyond the basics but that ought to be present in an … 2. The fields of economics, business, psychology, education, biology, law, computer science, police science, and early childhood development require at least one course in statistics. This something some although not all introductory statistics cover.

The statistical formulas and calculations have been used for centuries. Elementary Algebra Exercise Book … The text is clean and clear, the examples provided contain appropriate format of data presentation. The terminology is standard with one exception: the book calls what most people call the interquartile range, the H-spread in a number of places. Another aspect of the content is the heavy reliance on the use of a calculator to perform many of the statistical calculations. These questions are a very appealing feature of the text. The text is written in simple and clear prose. Explanations of statistical concepts are easy to understand and well motivated. So they have integrated the learning of statistics into the understanding of science. Graphs, tables, and visual displays are clearly labeled. No major issues. Reviewed by Dabrina Dutcher, Assistant Professor, Bucknell University on 3/4/19, This is a reasonably thorough first-semester statistics book for most classes. Some examples might need to consider citing the sources or use differently to reflect current inclusive teaching strategies. Overall the book is quite solid. Using the textbook outside of that geographic context may prove to be a limitation in terms of asking students to grasp an understanding of the problem domain before attempting a statistical solution. The earlier material is easy to find but not consistently referred to in the text. Various examples and quizzes can be a great recourse for instructor. for Binomial Distribution, no example for using second method The author does a great job of explaining nearly every new term or concept. This is a huge perk. However, the reader in most cases has to trust the word of the text as not a single proof is presented - even when this would be easy to achieve (Chebyshev theorem). It is a comprehensive text, but goes light on (or omits) some topics which some instructors would like to cover. Content is very competent, accurate, error-free, and unbiased. by-Robert S. Witte and John S. Witte. Instructors who want to cover correlation and regression earlier in the course, however, would be able to do so by skipping the section on inference for the slope. I would, however, try to make it a little more interesting, exciting, or may be even funny. Each chapter contains modules that begin with prerequisite information and upcoming learning objectives for mastery. It is fair to say that figures (especially graphs) are used extensively to illustrate the concepts being discussed.

,

The online Table of Contents also provide a consistent means to access these materials in an easily accessible way.

,

However, I did not see anything offensive or biased in the book. For example, experimental design was not well covered in chapter 1 which introduction to Statistics. The interface of the book is very good, however the graphics could have been improved by adding some good images and diagrams. An effective index and glossary are included, with functional hyperlinks. The text can be easily divided into sub-sections, some of which can be omitted if needed. Online links work properly as do all the calculators. I think this rearranged version of the index would better align with current Introductory Statistics texts. Introdotory Statistics … I had no problem with the interface. The text is internally consistent with one exception that I noted (the use of the synonymous words "H-spread" and "interquartile range").

,

There are no major navigation issues when I went through this textbook. The content of this text is accurate and error-free, based on a random sampling of various pages throughout the text. There is a good index and glossary. Definitions are set off from the text in boxes. It is certainly arranged in ways that would make altering it -- for example, to update it or make less US-centric it -- pretty straightforward.

,

• Men are at least 10 times more likely than women to commit murder. The binomial distribution is presented as a formula... The organization of material is similar in each chapter

,

Probability and related concepts are covered across four chapters (chapters 3-6). I could find no grammatical or spelling mistakes in this text.

,

The contents and examples cited are clear and explained in simple language. There is no evidence that the text is culturally insensitive in any way. That might be a matter of individual preference. I'm not sure how well this book would work internationally as many of the examples contain domestic (American) references. They are addressed logically and given adequate coverage. In addition, there are several topics that go somewhat beyond the basics but that ought to be present in an … 2. The fields of economics, business, psychology, education, biology, law, computer science, police science, and early childhood development require at least one course in statistics. This something some although not all introductory statistics cover.

The statistical formulas and calculations have been used for centuries. Elementary Algebra Exercise Book … The text is clean and clear, the examples provided contain appropriate format of data presentation. The terminology is standard with one exception: the book calls what most people call the interquartile range, the H-spread in a number of places. Another aspect of the content is the heavy reliance on the use of a calculator to perform many of the statistical calculations. These questions are a very appealing feature of the text. The text is written in simple and clear prose. Explanations of statistical concepts are easy to understand and well motivated. So they have integrated the learning of statistics into the understanding of science. Graphs, tables, and visual displays are clearly labeled. No major issues. Reviewed by Dabrina Dutcher, Assistant Professor, Bucknell University on 3/4/19, This is a reasonably thorough first-semester statistics book for most classes. Some examples might need to consider citing the sources or use differently to reflect current inclusive teaching strategies. Overall the book is quite solid. Using the textbook outside of that geographic context may prove to be a limitation in terms of asking students to grasp an understanding of the problem domain before attempting a statistical solution. The earlier material is easy to find but not consistently referred to in the text. Various examples and quizzes can be a great recourse for instructor. for Binomial Distribution, no example for using second method The author does a great job of explaining nearly every new term or concept. This is a huge perk. However, the reader in most cases has to trust the word of the text as not a single proof is presented - even when this would be easy to achieve (Chebyshev theorem). It is a comprehensive text, but goes light on (or omits) some topics which some instructors would like to cover. Content is very competent, accurate, error-free, and unbiased. by-Robert S. Witte and John S. Witte. Instructors who want to cover correlation and regression earlier in the course, however, would be able to do so by skipping the section on inference for the slope. I would, however, try to make it a little more interesting, exciting, or may be even funny. Each chapter contains modules that begin with prerequisite information and upcoming learning objectives for mastery. It is fair to say that figures (especially graphs) are used extensively to illustrate the concepts being discussed.

,

The online Table of Contents also provide a consistent means to access these materials in an easily accessible way.

,

However, I did not see anything offensive or biased in the book. For example, experimental design was not well covered in chapter 1 which introduction to Statistics. The interface of the book is very good, however the graphics could have been improved by adding some good images and diagrams. An effective index and glossary are included, with functional hyperlinks. The text can be easily divided into sub-sections, some of which can be omitted if needed. Online links work properly as do all the calculators. I think this rearranged version of the index would better align with current Introductory Statistics texts. Introdotory Statistics … I had no problem with the interface. The text is internally consistent with one exception that I noted (the use of the synonymous words "H-spread" and "interquartile range").

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I did not detect any problems with inconsistent symbol use or switches in terminology. I also think if the graphing calculator ideas are going to be used, a few diagrams feature a "screenshot" of the calculator screen would be appropriate. The structure of the text is very consistent. If instructors want to cover inference for a proportion before inference for a mean, they would find it difficult to use this text. However at the end of each of these sections there are a few multiple choice questions to test yourself. For example, regression analysis is covered in a chapter later in the book after introducing statistical inference. To note is that the interactive e-book works for both IOS and OS X. Neither of the pdf or html versions has an index. read more,

Like some other authors, the authors of this text have chosen to cover inference for a mean before inference for a proportion. The text assumes some knowledge of intermediate algebra and focuses on statistics … Each module... The examples and exercises are often US-centric. CC BY-NC-SA, Reviewed by Zhifang Yin, Instructor, Bunker Hill Community College on 6/8/20, Overall the book is quite solid. It is the standard organization for an introductory statistics text. Yes, it is consistent (including reliance on the computationally efficient formulae which I do not like). Reviewed by Ilgin Sager, Assistant Professor, University of Missouri - St. Louis on 1/14/19, As the title implies, this is a brief introduction textbook. I currently use many textbooks for introductory statistics that are over 5 years old to write lecture slides and generate example problems and have found that many changes were not needed when using older books. Throughout the text the authors provide explanations of how data is presented and used. If you are a beginner in statistics, then, this book is for you. I used it as a pdf, I am not sure whether there is an interactive version. This textbook offers a fairly comprehensive summary of what should be discussed in an introductory course in Statistics. Well explained, though maybe could use some more interesting examples; and maybe could use some definitions comparison etc. SPSS: Stats Practically Short and Simple. The text in pdf form appeared to free of grammatical errors, as did the on-line version, text, graphics and videos. The content is accurate. This textbook is extremely consistent internally. However, there are some issues with table of contents and page numbers, for example chapter 17 starts in page 597 not 598. In this way, the text is interactive and flexible, offering varied tools for students. An instructor’s manual is available by request. A teacher can use this book as the sole text of an introductory statistics. It would be helpful to have the statistical tables... The topics are presented well, but I recommend placing Sampling Distributions, Advanced Graphs, and Research Design ahead of Probability in the text. read more. These examples need to be corrected to reflect current inclusive teaching strategies. It says you can use the normal distribution instead of the t-distribution if n > 30 (It has the standard table of the t-distribution for up to 100 degrees of freedom). Making these changes to the existing online HTML files would be relatively easy and straightforward to implement.

,

There are no major navigation issues when I went through this textbook. The content of this text is accurate and error-free, based on a random sampling of various pages throughout the text. There is a good index and glossary. Definitions are set off from the text in boxes. It is certainly arranged in ways that would make altering it -- for example, to update it or make less US-centric it -- pretty straightforward.

,

• Men are at least 10 times more likely than women to commit murder. The binomial distribution is presented as a formula... The organization of material is similar in each chapter

,

Probability and related concepts are covered across four chapters (chapters 3-6). I could find no grammatical or spelling mistakes in this text.

,

The contents and examples cited are clear and explained in simple language. There is no evidence that the text is culturally insensitive in any way. That might be a matter of individual preference. I'm not sure how well this book would work internationally as many of the examples contain domestic (American) references. They are addressed logically and given adequate coverage. In addition, there are several topics that go somewhat beyond the basics but that ought to be present in an … 2. The fields of economics, business, psychology, education, biology, law, computer science, police science, and early childhood development require at least one course in statistics. This something some although not all introductory statistics cover.

The statistical formulas and calculations have been used for centuries. Elementary Algebra Exercise Book … The text is clean and clear, the examples provided contain appropriate format of data presentation. The terminology is standard with one exception: the book calls what most people call the interquartile range, the H-spread in a number of places. Another aspect of the content is the heavy reliance on the use of a calculator to perform many of the statistical calculations. These questions are a very appealing feature of the text. The text is written in simple and clear prose. Explanations of statistical concepts are easy to understand and well motivated. So they have integrated the learning of statistics into the understanding of science. Graphs, tables, and visual displays are clearly labeled. No major issues. Reviewed by Dabrina Dutcher, Assistant Professor, Bucknell University on 3/4/19, This is a reasonably thorough first-semester statistics book for most classes. Some examples might need to consider citing the sources or use differently to reflect current inclusive teaching strategies. Overall the book is quite solid. Using the textbook outside of that geographic context may prove to be a limitation in terms of asking students to grasp an understanding of the problem domain before attempting a statistical solution. The earlier material is easy to find but not consistently referred to in the text. Various examples and quizzes can be a great recourse for instructor. for Binomial Distribution, no example for using second method The author does a great job of explaining nearly every new term or concept. This is a huge perk. However, the reader in most cases has to trust the word of the text as not a single proof is presented - even when this would be easy to achieve (Chebyshev theorem). It is a comprehensive text, but goes light on (or omits) some topics which some instructors would like to cover. Content is very competent, accurate, error-free, and unbiased. by-Robert S. Witte and John S. Witte. Instructors who want to cover correlation and regression earlier in the course, however, would be able to do so by skipping the section on inference for the slope. I would, however, try to make it a little more interesting, exciting, or may be even funny. Each chapter contains modules that begin with prerequisite information and upcoming learning objectives for mastery. It is fair to say that figures (especially graphs) are used extensively to illustrate the concepts being discussed.

,

The online Table of Contents also provide a consistent means to access these materials in an easily accessible way.

,

However, I did not see anything offensive or biased in the book. For example, experimental design was not well covered in chapter 1 which introduction to Statistics. The interface of the book is very good, however the graphics could have been improved by adding some good images and diagrams. An effective index and glossary are included, with functional hyperlinks. The text can be easily divided into sub-sections, some of which can be omitted if needed. Online links work properly as do all the calculators. I think this rearranged version of the index would better align with current Introductory Statistics texts. Introdotory Statistics … I had no problem with the interface. The text is internally consistent with one exception that I noted (the use of the synonymous words "H-spread" and "interquartile range").