Descriptive and Inferential Statistics - Summaries of theory and Exercises solved PDF Download
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Author: Mercedes Orœs Lacort
Publisher: Lulu.com
ISBN: 1291885382
Category : Technology & Engineering
Languages : en
Pages : 187
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Book Description
Descriptive and Inferential Statistics, is a book that is intended for university students of any college. You'll find theory as summaries, and exercises solved, on the following topics: Descriptive Statistics, Confidence Intervals and Test Hypothesis for means, proportions and variances for one sample, Chi Square Test, Test Hypothesis for means, proportions and variances, for two or more samples, and Regression line. Statistical software such as SPSS, Minitab, programs have been used in the resolution of problems and in some cases have been resolved by using the Excel and also manually.
Author: Mercedes Orœs Lacort
Publisher: Lulu.com
ISBN: 1291885382
Category : Technology & Engineering
Languages : en
Pages : 187
Get Book Here
Book Description
Descriptive and Inferential Statistics, is a book that is intended for university students of any college. You'll find theory as summaries, and exercises solved, on the following topics: Descriptive Statistics, Confidence Intervals and Test Hypothesis for means, proportions and variances for one sample, Chi Square Test, Test Hypothesis for means, proportions and variances, for two or more samples, and Regression line. Statistical software such as SPSS, Minitab, programs have been used in the resolution of problems and in some cases have been resolved by using the Excel and also manually.
Author: Morry Sofer
Publisher: Taylor Trade Publications
ISBN: 1589797302
Category : Foreign Language Study
Languages : en
Pages : 420
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Book Description
This is the next generation of business dictionaries. Including modern banking, accounting, insurance, real estate, import-export, taxes, business law and computer terms, this is an essential resource for those working in multilingual, multicultural business fields.
Author: Othmar W. Winkler
Publisher: Springer Science & Business Media
ISBN: 3540687211
Category : Business & Economics
Languages : en
Pages : 272
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Book Description
"Interpreting Economic and Social Data" aims at rehabilitating the descriptive function of socio-economic statistics, bridging the gap between today's statistical theory on one hand, and econometric and mathematical models of society on the other. It does this by offering a deeper understanding of data and methods with surprising insights, the result of the author's six decades of teaching, consulting and involvement in statistical surveys. The author challenges many preconceptions about aggregation, time series, index numbers, frequency distributions, regression analysis and probability, nudging statistical theory in a different direction. "Interpreting Economic and Social Data" also links statistics with other quantitative fields like accounting and geography. This book is aimed at students and professors in business, economics demographic and social science courses, and in general, at users of socio-economic data, requiring only an acquaintance with elementary statistical theory.
Author: Herman J. Loether
Publisher: Boston ; Toronto : Allyn and Bacon
ISBN:
Category : Social Science
Languages : en
Pages : 416
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Book Description
Author: Christian Heumann
Publisher: Springer
ISBN: 3319461621
Category : Mathematics
Languages : en
Pages : 457
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Book Description
This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.
Author: Freda Conway
Publisher: Hassell Street Press
ISBN: 9781015016156
Category :
Languages : en
Pages : 198
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Book Description
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Author: David S. Moore
Publisher: Macmillan
ISBN: 9780716786368
Category : Mathematics
Languages : en
Pages : 596
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Book Description
In the sixth edition of his landmark text, David Moore emphasizes the concepts and applications of statistics from a wide range of fields - encouraging students to see the meaning behind statistical results. Moore's emphasis on ideas and data with minimal computation is acknowledged as the most effective way to teach non-mathematical students.
Author: Alan J. B. Anderson
Publisher: Routledge
ISBN: 1351437380
Category : Mathematics
Languages : en
Pages : 244
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Book Description
A grasp of the ways in which data can be collected, summarised and critically appraised is fundamental to application of the commonly used inferential techniques of statistics. By reviewing the criteria for the design of questionnaires, planned experiments and surveys so as to minimise bias and by considering research methodology in general, this book clarifies the basic requirements of data collection. This introduction to statistics emphasizes the importance of data - its collection, summary and appraisal - in the application of statistical techniques. This book will be invaluable to first- year students in statistics as well as to students from other disciplines on courses with a 'statistics module'. Non-numerated postgradates embarking on research will also find much of the content useful.
Author:
Publisher: Éditions Épistémé
ISBN: 2832322611
Category :
Languages : en
Pages : 202
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Book Description
Author: Elliot T. Berkman
Publisher: SAGE
ISBN: 1412974062
Category : Computers
Languages : en
Pages : 313
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Book Description
This book helps students develop a conceptual understanding of a variety of statistical tests by linking the statistics with the computational steps and output from SPSS. Learning how statistical ideas map onto computation in SPSS will help students build a better understanding of both. For example, seeing exactly how the concept of variance is used in SPSS-how it is converted into a number based on real data, which other concepts it is associated with, and where it appears in various statistical tests-will not only help students understand how to use statistical tests in SPSS and how to interpret their output, but will also teach them about the concept of variance itself. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, pointing out wherever possible how the SPSS procedure and output connects back to the conceptual underpinnings of the test. Each of the steps is accompanied by annotated screen shots from SPSS, and relevant components of output are highlighted in both the text and in the figures. Sections explain the conceptual machinery underlying the statistical tests. In contrast to merely presenting the equations for computing the statistic, these sections describe the idea behind each test in plain language and help students make the connection between the ideas and SPSS procedures. These include extensive treatment of custom hypothesis testing in ANOVA, MANOVA, ANCOVA, and regression, and an entire chapter on the advanced matrix algebra functions available only through syntax in SPSS. The book will be appropriate for both advanced undergraduate and graduate level courses in statistics.
