Core Statistical Concepts With Excel
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Core Statistical Concepts With Excel
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Author : Gregory J. Privitera
language : en
Publisher: SAGE Publications
Release Date : 2018-12-05
Core Statistical Concepts With Excel written by Gregory J. Privitera and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-05 with Psychology categories.
Core Statistical Concepts with Excel® connects statistical concepts to applications with Excel® using practical research examples. The text jointly promotes an understanding of Excel® and a deeper knowledge of core concepts through practice. Authors Gregory J. Privitera and Darryl Mayeaux provide students step-by-step instruction for using Excel® software as a useful tool not only to manage but also analyze data—all through the use of key themes, features, and pedagogy: an emphasis on student learning, a focus on current research, and integration of Excel® to introduce statistical concepts.
Taxmann S Business Statistics Ugcf Nep Comprehensively Introduces Core Statistical Concepts Featuring Solved Examples Practice Problems Formula Summaries Excel Based Exercises
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Author : Dr. Gurmeet Kaur
language : en
Publisher: Taxmann Publications Private Limited
Release Date : 2025-06-12
Taxmann S Business Statistics Ugcf Nep Comprehensively Introduces Core Statistical Concepts Featuring Solved Examples Practice Problems Formula Summaries Excel Based Exercises written by Dr. Gurmeet Kaur and has been published by Taxmann Publications Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-12 with Education categories.
Business Statistics is a comprehensive, authentic, and well-illustrated textbook designed to introduce undergraduate students to core statistical concepts and applications. Recognising the essential role of statistics in today's data-driven environment, the book equips learners with the methods needed for data analysis, interpretation, and informed decision-making. The presentation strikes a balance between theoretical rigour and practical application, ensuring students can confidently apply statistical tools to practical business and economic scenarios. This book will be helpful for the following audience: • Undergraduate Students (Commerce & Management) – This book is aligned with the B.Com. (Hons.) and B.Com. syllabi under the new UGCF-NEP 2020 framework of the University of Delhi, as well as other universities in India and abroad • Instructors & Faculty – Offers a structured pathway and a robust resource base for teaching fundamental to intermediate-level statistics with relevant examples and exercises • Lifelong Learners & Budding Researchers – Those looking to develop a solid foundational understanding of statistical methods and their application in business settings will find this book indispensable The Present Publication is the 2nd Edition, authored by Dr Gurmeet Kaur, Soumya Sharma, and Dr Rachan Sareen, with the following noteworthy features: • [Student-centric Design] Closely follows the B.Com. (Hons.) and B.Com. course structures under the UGCF-NEP 2020 Framework. Its simple language ensures a clear understanding of fundamental and advanced concepts • [Solved Examples] Each chapter contains numerous worked-out examples that demonstrate key statistical techniques step-by-step • [Practice Problems] End-of-chapter exercises ranging from conceptual questions and numerical problems to data-analysis tasks. It encourages hands-on learning and promotes critical thinking • [Formula Summaries] Convenient formula lists for quick revision and reference, helping students to review essential concepts efficiently • [Excel-based Exercises] Practical demonstrations and exercises using Excel, equipping students with industry-relevant data manipulation and statistical skills • [Comprehensive Resource] Serves as a classroom text and a reference guide for deeper statistical exploration. It is appropriate for preparing assignments, projects, and university examinations • [Robust Author Expertise] The authors combine decades of teaching and research experience, making the content authentic, academically rigorous, and learner-friendly The coverage of the book is as follows: • Descriptive Statistics o Measures of Central Tendency (Arithmetic Mean, Median, Mode) o Measures of Dispersion (Range, Quartile Deviation, Mean Deviation, Standard Deviation, Variance, Coefficient of Variation) o Moments, Skewness, and Kurtosis • Probability & Probability Distributions o Fundamental Probability Theorems (Addition, Multiplication, Conditional Probability, Bayes' Theorem) o Discrete Distributions: Binomial and Poisson (Properties & Applications) o Normal Distribution (Properties, Computing Probabilities & Applications) • Correlation and Regression Analysis o Correlation Concept and Computation (Pearson's Coefficient, Rank Correlation, Probable Errors) o Regression Lines, Regression Equations, Properties of Coefficients, Standard Error of Estimate • Time Series Analysis o Components of Time Series: Additive and Multiplicative Models o Trend Fitting (Least Squares Method for Linear & Second-Degree Parabola) o Shifting Origin, Converting Annual Equations to Quarterly/Monthly Basis • Index Numbers o Construction & Uses (Laspeyres, Paasche, Fisher's Ideal Index) o Consumer Price Indices, BSE SENSEX, NSE NIFTY • Practical Exercises & Projects o Practical application via group research/surveys, data collection, and statistical analysis o Detailed guidance on spreadsheet-based problem-solving using Excel or open-source tools such as R/Python The structure of the book is as follows: • Chapter Organisation o Begins with a clear outline and learning objectives o Progresses systematically from foundational concepts to advanced topics o Includes logical sequencing to match typical undergraduate coursework coverage and timelines • Pedagogical Tools o Step-by-step solutions and illustrative examples o Chapter-end practice sets for testing and reinforcing understanding o Quick-reference formula summaries and essential concept recaps • Additional Spreadsheet/Software Section o Dedicated coverage on spreadsheet-based (Excel) or open-source software (R, Python) exercises o Helps translate theoretical knowledge into practical data analytics skills
Statistical Analysis
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Author : Conrad Carlberg
language : en
Publisher: Que Publishing
Release Date : 2014-04-04
Statistical Analysis written by Conrad Carlberg and has been published by Que Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-04 with Business & Economics categories.
Use Excel 2013’s statistical tools to transform your data into knowledge Conrad Carlberg shows how to use Excel 2013 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples, Carlberg helps you choose the right technique for each problem and get the most out of Excel’s statistical features, including recently introduced consistency functions. Along the way, he clarifies confusing statistical terminology and helps you avoid common mistakes. You’ll learn how to use correlation and regression, analyze variance and covariance, and test statistical hypotheses using the normal, binomial, t, and F distributions. To help you make accurate inferences based on samples from a population, this edition adds two more chapters on inferential statistics, covering crucial topics ranging from experimental design to the statistical power of F tests. Becoming an expert with Excel statistics has never been easier! You’ll find crystal-clear instructions, insider insights, and complete step-by-step projects—all complemented by extensive web-based resources. Master Excel’s most useful descriptive and inferential statistical tools Tell the truth with statistics—and recognize when others don’t Accurately summarize sets of values Infer a population’s characteristics from a sample’s frequency distribution Explore correlation and regression to learn how variables move in tandem Use Excel consistency functions such as STDEV.S() and STDEV.P() Test differences between two means using z tests, t tests, and Excel’s Data Analysis Add-in Use ANOVA to test differences between more than two means Explore statistical power by manipulating mean differences, standard errors, directionality, and alpha Take advantage of Recommended PivotTables, Quick Analysis, and other Excel 2013 shortcuts
Interpreting Quantitative Data With Spss
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Author : Rachad Antonius
language : en
Publisher: SAGE
Release Date : 2003-01-22
Interpreting Quantitative Data With Spss written by Rachad Antonius and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-22 with Social Science categories.
This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.
Data Mining For Business Analytics
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Author : Galit Shmueli
language : en
Publisher: John Wiley & Sons
Release Date : 2019-10-14
Data Mining For Business Analytics written by Galit Shmueli and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-14 with Mathematics categories.
Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R
Practical Statistics For Data Scientists
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Author : Peter Bruce
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-05-10
Practical Statistics For Data Scientists written by Peter Bruce and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-10 with Computers categories.
Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data
Statistics And Probability For Engineering Applications
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Author : William DeCoursey
language : en
Publisher: Elsevier
Release Date : 2003-05-14
Statistics And Probability For Engineering Applications written by William DeCoursey and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-05-14 with Mathematics categories.
Statistics and Probability for Engineering Applications provides a complete discussion of all the major topics typically covered in a college engineering statistics course. This textbook minimizes the derivations and mathematical theory, focusing instead on the information and techniques most needed and used in engineering applications. It is filled with practical techniques directly applicable on the job. Written by an experienced industry engineer and statistics professor, this book makes learning statistical methods easier for today's student. This book can be read sequentially like a normal textbook, but it is designed to be used as a handbook, pointing the reader to the topics and sections pertinent to a particular type of statistical problem. Each new concept is clearly and briefly described, whenever possible by relating it to previous topics. Then the student is given carefully chosen examples to deepen understanding of the basic ideas and how they are applied in engineering. The examples and case studies are taken from real-world engineering problems and use real data. A number of practice problems are provided for each section, with answers in the back for selected problems. This book will appeal to engineers in the entire engineering spectrum (electronics/electrical, mechanical, chemical, and civil engineering); engineering students and students taking computer science/computer engineering graduate courses; scientists needing to use applied statistical methods; and engineering technicians and technologists. * Filled with practical techniques directly applicable on the job* Contains hundreds of solved problems and case studies, using real data sets* Avoids unnecessary theory
Using Statistics In The Social And Health Sciences With Spss And Excel
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Author : Martin Lee Abbott
language : en
Publisher: John Wiley & Sons
Release Date : 2016-07-28
Using Statistics In The Social And Health Sciences With Spss And Excel written by Martin Lee Abbott and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-28 with Social Science categories.
Provides a step-by-step approach to statistical procedures to analyze data and conduct research, with detailed sections in each chapter explaining SPSS® and Excel® applications This book identifies connections between statistical applications and research design using cases, examples, and discussion of specific topics from the social and health sciences. Researched and class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations for both the novice and professional alike to understand the fundamental statistical practices for organizing, analyzing, and drawing conclusions from research data in their field. The book begins with an introduction to descriptive and inferential statistics and then acquaints readers with important features of statistical applications (SPSS and Excel) that support statistical analysis and decision making. Subsequent chapters treat the procedures commonly employed when working with data across various fields of social science research. Individual chapters are devoted to specific statistical procedures, each ending with lab application exercises that pose research questions, examine the questions through their application in SPSS and Excel, and conclude with a brief research report that outlines key findings drawn from the results. Real-world examples and data from social and health sciences research are used throughout the book, allowing readers to reinforce their comprehension of the material. Using Statistics in the Social and Health Sciences with SPSS® and Excel® includes: Use of straightforward procedures and examples that help students focus on understanding of analysis and interpretation of findings Inclusion of a data lab section in each chapter that provides relevant, clear examples Introduction to advanced statistical procedures in chapter sections (e.g., regression diagnostics) and separate chapters (e.g., multiple linear regression) for greater relevance to real-world research needs Emphasizing applied statistical analyses, this book can serve as the primary text in undergraduate and graduate university courses within departments of sociology, psychology, urban studies, health sciences, and public health, as well as other related departments. It will also be useful to statistics practitioners through extended sections using SPSS® and Excel® for analyzing data.
Applied Statistics Concepts For Counselors
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Author : Geoffrey W Sutton
language : en
Publisher: Sunflower
Release Date : 2019-12-31
Applied Statistics Concepts For Counselors written by Geoffrey W Sutton and has been published by Sunflower this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-31 with Psychology categories.
Increase competency while building confidence in reading statistics and discussing test scores. This book focuses on statistical literacy for counselors and psychotherapists. You will find a review of basic statistical concepts explained with examples from counseling practice and research. Applied Statistics is for all human service professionals (and students) involved in counseling, interviewing, and assessment. Key Features · How statistics function in counseling research and practice · Easy to read explanations of basic stats like measurement, averages, correlations · Simple descriptions of statistical tests like t tests, ANOVA, chi square · Important review of test score reliability and validity · Includes an extensive glossary · Practice with answers · Links to online resources What Reviewers Say About Applied Statistics Even though I completed multiple graduate level statistics courses, I benefitted from the simple and straight forward content of this text. Practice tests at the end of chapters helps assess learning and application. This is a great refresher resource for counselors and beginning graduate students. Christine Arnzen, Ph.D., LPC, Associate Professor, Evangel University; Coordinator, Graduate Counseling Programs
Data Analysis Using Sql And Excel
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Author : Gordon S. Linoff
language : en
Publisher: John Wiley & Sons
Release Date : 2010-09-16
Data Analysis Using Sql And Excel written by Gordon S. Linoff and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-16 with Computers categories.
Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like.