Business management can be done more effectively in some cases by use of more advanced mathematics such as calculus, matrix algebra and linear programming. Some of the business mathematics questions and answers are mentioned below. You can download the QnA in business mathematics pdf form.
Below is the list of business mathematics books recommended by the top university in India. In the above article, a student can download business mathematics notes for B COM 1st year and business mathematics notes for BBA 1st year. Banking And Insurance study material includes business mathematics notes , business mathematics books , business mathematics syllabus , business mathematics question paper , business mathematics case study, business mathematics questions and answers , business mathematics courses in business mathematics pdf form.
Come on! Save my name, email, and website in this browser for the next time I comment. Skip to content Post last modified: 9 July Reading time: 8 mins read. Download PDF. Sharing is caring More. Aman Tiwari 20 Aug Reply. Rajvi Shah 12 Sep Reply.
Castar 19 Dec Reply. Comfort 25 Aug Reply. Jasmine 9 Dec Reply. Leave a Reply Cancel reply Comment. Enter your name or username to comment. Enter your email address to comment. Enter your website URL optional. The concept development is appropriate--there is always room to grow to high higher level, but for an introduction, the basics are what is needed.
This is a well-thought-through OER textbook project by This is a well-thought-through OER textbook project by Dr. Lane and colleagues. It is obvious that several iterations have only made it better. Essentially, statistical concepts at the introductory level are accepted as universal. This suggests that the relevance of this textbook will continue for a long time.
The book is well written for introducing beginners to statistical concepts. The figures, tables, and animated examples reinforce the clarity of the written text. Yes, the information is consistent; when it is introduced in early chapters it ties in well in later chapters that build on and add more understanding for the topic. The book is well-written with attention to modularity where possible. Due to the nature of statistics, that is not always possible. The content is presented in the order that I usually teach these concepts.
The organization of the book is good, I particularly like the sample lecture slide presentations and the problem set with solutions for use in quizzes and exams. These are available by writing to the author.
It is wonderful to have access to these helpful resources for instructors to use in preparation. For the field of social work where qualitative data is as common as quantitative, the importance of giving students the rationale or the motivation to learn the quantitative side is understated. To use this text as an introductory statistics OER textbook in a social work curriculum, the instructor will want to bring in field-relevant examples to engage and motivate students.
The field needs data-driven decision making and evidence-based practices to become more ubiquitous than not. Preparing future social workers by teaching introductory statistics is essential to meet that goal. This textbook offers a fairly comprehensive summary of what should be discussed in an introductory course in Statistics. The statistical literacy exercises are particularly interesting. It would be helpful to have the statistical tables Comprehensiveness rating: 4 see less.
It would be helpful to have the statistical tables attached in the same package, even though they are available online. The statistical literacy example are up to date but will need to be updated fairly regularly to keep the textbook fresh. The applications within the chapter are accessible and can be used fairly easily over a couple of editions. The textbook does not necessarily explain the derivation of some of the formulae and this will need to be augmented by the instructor in class discussion.
What is beneficial is that there are multiple ways that a topic is discussed using graphs, calculations and explanations of the results. Statistics textbooks have to cover a wide variety of topics with a fair amount of depth.
To do this concisely is difficult. There is a fine line between being concise and clear, which this textbook does well, and being somewhat dry. 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. The textbook uses standard notation and terminology. The heading section of each chapter is closely tied to topics that are covered.
The end of chapter problems and the statistical literacy applications are closely tied to the material covered. The authors have done a good job treating each chapter as if they stand alone. The lack of connection to a past reference may create a sense of disconnect between the topics discussed.
The text's "modularity" does make the flow of the material a little disconnected. If would be better if there was accountability of what a student should already have learnt in a different section.
The earlier material is easy to find but not consistently referred to in the text. I had no problem with the interface.
The online version is more visually interesting than the pdf version. I am not sure how to evaluate this. The examples are mostly based on the American experience and the data alluded to mostly domestic.
However, I am not sure if that creates a problem in understanding the methodology. This is a comprehensive enough text, considering that it is not easy to create a comprehensive statistics textbook.
It is suitable for an introductory statistics course for non-math majors. It contains twenty-one chapters, covering the wide range It contains twenty-one chapters, covering the wide range of intro stats topics and some more , plus the case studies and the glossary.
The book contains fairly recent data presented in the form of exercises, examples and applications. The topics are up-to-date, and appropriate technology is used for examples, applications, and case studies.
The language is simple and clear, which is a good thing, since students are usually scared of this class, and instructors are looking for something to put them at ease. I would, however, try to make it a little more interesting, exciting, or may be even funny. Consistency is good, the book has a great structure. I like how each chapter has prerequisites and learner outcomes, this gives students a good idea of what to expect. Material in this book is covered in good detail.
The text can be easily divided into sub-sections, some of which can be omitted if needed. The chapter on regression is covered towards the end chapter 14 , but part of it can be covered sooner in the course.
The book contains well organized chapters that makes reading through easy and understandable. The order of chapters and sections is clear and logical. The online version has many functions and is easy to navigate. This book also comes with a PDF version.
There is no distortion of images or charts. The text is clean and clear, the examples provided contain appropriate format of data presentation. The text uses simple and clear language, which is helpful for non-native speakers. I would include more culturally-relevant examples and case studies. Overall, good text. In all, this book is a good learning experience.
It contains tools and techniques that free and easy to use and also easy to modify for both, students and instructors. I very much appreciate this opportunity to use this textbook at no cost for our students. This is a reasonably thorough first-semester statistics book for most classes. 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 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 engineers or business applications.
That is OK, they have separate texts for that! The only sections that feel somewhat light in terms of content are the confidence intervals and ANOVA sections.
Given that these topics are often sort of crammed in at the end of many introductory classes, that might not be problematic for many instructors. 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. The probability sections do not include any significant combinatorics work, which is sometimes included at this level.
I did not find any errors in the formulas presented but I did not work many end-of-chapter problems to gauge the accuracy of their answers. There isn't much changing in the introductory stats world, so I have no concerns about the book becoming outdated rapidly.
The examples and problems still feel relevant and reasonably modern. As students increasingly buy TIs or Inspires, these sections of the book may lose relevance faster than other parts. The book gives a list of key terms and their definitions at the end of each chapter which is a nice feature. It also has a formula review at the end of each chapter. I can imagine that these are heavily used by students when studying!
Formulas are easy to find and read and are well defined. There are a few areas that I might have found frustrating as a student. For example, the explanation for the difference in formulas for a population vs sample standard deviation is quite weak.
Again, this is a book that focuses on sort of a "black-box" approach but you may have to supplement such sections for some students. This low rating should not be taken as an indicator of an issue with this book but would be true of virtually any statistics book. Different books still use different variable symbols even for basic calculated statistics. However, I think it would be possible to skip some chapters or use the chapters in a different order without any loss of functionality.
This book uses a very standard order for the material. The chapter on regressions comes later than it does in some texts but it doesn't really matter since that chapter never seems to fit smoothly anywhere. There are numerous end of chapter problems, some with answers, available in this book. I'm vacillating on whether these problems would be more useful if they were distributed after each relevant section or are better clumped at the end of the whole chapter.
That might be a matter of individual preference. I found no errors. However, there were several sections where the punctuation seemed non-ideal.
This did not affect the over-all useability of the book though. I'm not sure how well this book would work internationally as many of the examples contain domestic American references.
However, I did not see anything offensive or biased in the book. As the title implies, this is a brief introduction textbook. It covers the fundamental of the introductory statistics, however not a comprehensive text on the subject. A teacher can use this book as the sole text of an introductory statistics A teacher can use this book as the sole text of an introductory statistics. The prose format of definitions and theorems make theoretical concepts accessible to non-math major students.
The textbook covers all chapters required in this level course. It is accurate; the subject matter in the examples to be up to date, is timeless and wouldn't need to be revised in future editions; there is no error except a few typographical errors.
There are no logic errors or incorrect explanations. This text will remain up to date for a long time since it has timeless examples and exercises, it wouldn't be outdated. The information is presented clearly with a simple way and the exercises are beneficial to follow the information.
The material is presented in a clear, concise manner. The text is easy readable for the first time statistics student. The structure of the text is very consistent. Topics are presented with examples, followed by exercises. Problem sets are appropriate for the level of learner. When the earlier matters need to be referenced, it is easy to find; no trouble reading the book and finding results, it has a consistent scheme. This book is set very well in sections.
There is no logic errors and incorrect explanations, a few typographical errors is just to be ignored. This book is pretty comprehensive for being a brief introductory book. This book covers all necessary content areas for an introduction to Statistics course for non-math majors. The text book provides an effective index, plenty of exercises, The text book provides an effective index, plenty of exercises, review questions, and practice tests.
It provides references and case studies. The glossary and index section is very helpful for students and can be used as a great resource. Content appears to be accurate throughout. Being an introductory book, the book is unbiased and straight to the point. The terminology is standard. The content in textbook is up to date. 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. The author does a great job of explaining nearly every new term or concept.
The book is easy to follow, clear and concise. The graphics are good to follow. The language in the book is easily understandable.
I found most instructions in the book to be very detailed and clear for students to follow. Overall consistency is good. It is consistent in terms of terminology and framework. The writing is straightforward and standardized throughout the text and it makes reading easier.
The authors do a great job of partitioning the text and labeling sections with appropriate headings. The table of contents is well organized and easily divisible into reading sections and it can be assigned at different points within the course.
Overall, the topics are arranged in an order that follows natural progression in a statistics course with some exception. They are addressed logically and given adequate coverage. The text is not culturally insensitive or offensive in any way most of time. Some examples might need to consider citing the sources or use differently to reflect current inclusive teaching strategies.
Overall, it's well-written and good recourse to be an introduction to statistical methods. Some materials may not need to be covered in an one-semester course. Various examples and quizzes can be a great recourse for instructor. The text includes the introductory statistics topics covered in a college-level semester course.
An effective index and glossary are included, with functional hyperlinks. The content of this text is accurate and error-free, based on a random sampling of various pages throughout the text. Several examples included information without formal citation, leading the reader to potential bias and discrimination.
These examples should be corrected to reflect current values of inclusive teaching. The text contains relevant information that is current and will not become outdated in the near future. The statistical formulas and calculations have been used for centuries. The examples are direct applications of the formulas and accurately assess the conceptual knowledge of the reader.
The text is very clear and direct with the language used. Graphs, tables, and visual displays are clearly labeled. The terminology and framework of the text is consistent.
The hyperlinks are working effectively, and the glossary is valuable. Each chapter contains modules that begin with prerequisite information and upcoming learning objectives for mastery.
The modules are clearly defined and can be used in conjunction with other modules, or individually to exemplify a choice topic. With the prerequisite information stated, the reader understands what prior mathematical understanding is required to successfully use the module.
I think this rearranged version of the index would better align with current Introductory Statistics texts. The structure is very organized with the prerequisite information stated and upcoming learner outcomes highlighted. Each module is well-defined. Adding an option of returning to the previous page would be of great value to the reader. 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.
Several examples contained data that were not formally cited. These examples need to be corrected to reflect current inclusive teaching strategies. An included solutions manual for the exercises would be valuable to educators who choose to use this text.
As a text for an introductory course, standard topics are covered. It was nice to see some topics such as power, sampling, research design and distribution free methods covered, as these are often omitted in abbreviated texts. Each module Each module introduces the topic, has appropriate graphics, illustration or worked example s as appropriate and concluding with many exercises. A comprehensive glossary provides definitions for all the major terms and concepts.
The case studies give examples of practical applications of statistical analyses. Many of the case studies contain the actual raw data. To note is that the on-line e-book provides several calculators for the essential distributions and tests.
These are provided in lieu of printed tables which are not included in the pdf. Such tables are readily available on the web. The content is accurate and error free. Notation is standard and terminology is used accurately, as are the videos and verbal explanations therein. Online links work properly as do all the calculators. The text appears neutral and unbiased in subject and content. The text achieves contemporary relevance by ending each section with a Statistical Literacy example, drawn from contemporary headlines and issues.
Of course, the core topics are time proven. The text is very readable. Meanwhile for this same content the on-line version appears streamlined, uncluttered, enhancing the value of the active links. This terminology and symbol use are consistent throughout the text and with common use in the field. The pdf text and online version are also consistent by content, but with the online e-book offering much greater functionality.
The chapters and topics may be used in a selective manner. Certain chapters have no pre-requisite chapter and in all cases, those required are listed at the beginning of each module.
It would be straightforward to select portions of the text and reorganize as needed. The online version is highly modular offering students both ease of navigation and selection of topics. Chapter topics are arranged appropriately. In an introductory statistics course, there is a logical flow given the buildup to the normal distribution, concept of sampling distributions, confidence intervals, hypothesis testing, regression and additional parametric and non-parametric tests.
The normal distribution is central to an introductory course. 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. Each chapter is structured with several modules, each beginning with pre-requisite chapter s , learning objectives and concluding with Statistical Literacy sections providing a self-check question addressing the core concept, along with answer, followed by an extensive problem set.
The clear and concise learning objectives will be of benefit to students and the course instructor. No solutions or answer key is provided to students. The on-line interface works well. In fact, I was pleasantly surprised by its options and functionality.
The pdf appears somewhat sparse by comparison to publisher texts, lacking pictures, colored boxes, etc. But the on-line version has many active links providing definitions and graphic illustrations for key terms and topics. Most sections also have short videos that are professionally done, with narration and smooth graphics. In this way, the text is interactive and flexible, offering varied tools for students.
The text in pdf form appeared to free of grammatical errors, as did the on-line version, text, graphics and videos. This text contains no culturally insensitive or offensive content. The focus of the text is on concepts and explanation. The text would be a great resource for students. The full content would be ambitious for a 1-semester course, such use would be unlikely.
The text is clearly geared towards students with no statistics background nor calculus. The text could be used in two styles of course. 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.
Alternatively, for upper level students the introductory chapters could be bypassed with the latter chapters then covered to completion. The e-book videos are an enabling tool if this approach is adopted. This is a comprehensive book on statistical methods, its settings and most importantly the interpretation of the results. But the challenge is the But the challenge is the knowledge of how to set the case, setting parameters for example confidence intervals and knowing its implication on the interpretation of the results.
If not done properly this could lead to deceptive inferences, inadvertently or purposely. This book does a great job in explaining the above using many examples and real world case studies. If you are looking for a book to learn and apply statistical methods, this is a great one. I think the author could consider revising the title of the book to reflect the above, as it is more than just an introduction to statistics, may be include the word such as practical guide. The contents of the book seems accurate.
Some plots and calculations were randomly selected and checked for accuracy. The book topics are up to date and in my opinion, will not be obsolete in the near future.
I think the smartest thing the author has done is, not tied the book with any particular software such as minitab or spss.
No matter what the software is, standard deviation is calculated the same way as it is always. The contents and examples cited are clear and explained in simple language. Data analysis and presentation of the results including mathematical calculations, graphical explanation using charts, tables, figures etc are presented with clarity.
Terminology is consistant. Framework for each chapter seems consistent with each chapter beginning with a set of defined topics, and each of the topic divided into modules with each module having a set of learning objectives and prerequisite chapters. The text book is divided into chapters with each chapter further divided into modules.
Each of the modules have detailed learning objectives and prerequisite required. So you can extract a portion of the book and use it as a standalone to teach certain topics or as a learning guide to apply a relevant topic.
Presentation of the topics are well thought and are presented in a logical fashion as if it would be introduced to someone who is learning the contents. However, there are some issues with table of contents and page numbers, for example chapter 17 starts in page not Also some tables and figures does not have a number, for instance the graph shown in page does not have a number.
Also it would have been better if the chapter number was included in table and figure identification, for example Figure Also in some cases, for instance page , the figures and titles are in two different pages.
0コメント