Author: Debanjan Bhattacharjee
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description

Author: Helen Mary Walker
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 530

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Book Description
Probability distributions; Inferences concerning propartions; Chi-square; Populations and samples on a continuos variables; Sampling distributions; Inferences concerning the mean or the difference between two means; Inferences concerning variances and standard deviations; Linear regression and correlation; Other measures of relationship; The statistics of measurement; Multiple regression and correlation; Analysis of variance with two or more variables of classification; Analysis of covariance; Percentiles; Transformation of scales; Non-parametric methods.

Author: Chester Ismay
Publisher: CRC Press
ISBN: 1000763463
Category : Mathematics
Languages : en
Pages : 461

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Book Description
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com ● Centers on simulation-based approaches to statistical inference rather than mathematical formulas ● Uses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methods ● Provides all code and output embedded directly in the text; also available in the online version at moderndive.com This book is intended for individuals who would like to simultaneously start developing their data science toolbox and start learning about the inferential and modeling tools used in much of modern-day research. The book can be used in methods and data science courses and first courses in statistics, at both the undergraduate and graduate levels.

Author: Mukhopadhya Nitis
Publisher: Chapman & Hall
ISBN: 9781574446135
Category : Mathematics
Languages : en
Pages : 280

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Book Description
Introductory Statistical Inference develops the concepts and intricacies of statistical inference. With a review of probability concepts, this book discusses topics such as sufficiency, ancillarity, point estimation, minimum variance estimation, confidence intervals, multiple comparisons, and large-sample inference. It introduces techniques of two-stage sampling, fitting a straight line to data, tests of hypotheses, nonparametric methods, and the bootstrap method. It also features worked examples of statistical principles as well as exercises with hints. This text is suited for courses in probability and statistical inference at the upper-level undergraduate and graduate levels.

Author: Patrick Billingsley
Publisher:
ISBN: 9780205086276
Category : Business & Economics
Languages : en
Pages : 784

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Book Description

Author: Jean Dickinson Gibbons
Publisher: CRC Press
ISBN: 113553201X
Category : Mathematics
Languages : en
Pages : 350

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Book Description
Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas of the social, behavioral, and life sciences. The book presents new material on the quantiles, the calculation of exact and simulated power, multiple comparisons, additional goodness-of-fit tests, methods of analysis of count data, and modern computer applications using MINITAB, SAS, and STATXACT. It includes tabular guides for simplified applications of tests and finding P values and confidence interval estimates.

Author: Rupert G. Miller
Publisher: Springer
ISBN:
Category : Gardening
Languages : en
Pages : 318

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Book Description
Normal univariate techniques; regression techniques; nonparametric techniques; multivariate techniques; miscellaneous techniques; strong law for the expected error rate; tables; developments in multiple comparisons 1966-1976; addendum new table of the studentized maximum modulus.

Author: William Lee Hays
Publisher: Holt Rinehart and Winston
ISBN:
Category : Mathematics
Languages : en
Pages : 340

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Book Description

Author: Stephen Kokoska
Publisher: Macmillan
ISBN: 9780716757627
Category : Mathematics
Languages : en
Pages : 1012

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Book Description
Written to appeal to students and instructors who appreciate statistics for its precision and logic, Introductory Statistics: A Problem-Solving Approach helps students learn statistical concepts by using a stepped problem-solving approach. After completing an introductory statistics course with this textbook, students should understand the process of basic statistical arguments. They should grasp the importance of assumptions and be able to follow valid arguments or identify inaccurate conclusions. Most importantly, they should understand the process of statistical inference. The philosophy of this text is simple: statistics is often hard for students, and in order to understand concepts, the material must be presented in an orderly, precise, friendly manner. It must be easy to read and follow, and there must be numerous examples and exercises. The text aims to be easy-to-read, down-to-earth, systematic, and methodical. Each new idea builds upon concepts presented earlier. A touch of humor is important, especially for many students who are afraid of, and even dislike, mathematics and statistics.

Author: Mark Finkelstein
Publisher:
ISBN: 9780936356013
Category : Mathematics
Languages : en
Pages : 356

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Book Description
How to use this guidebook; Introduction; Descriptive statistics: Part 1, Part 2; Statistical inference; Hypothesis testing; Small-sample inference: the t-distribution; Analysis of variance: Anova; Regression and correlation; Nonparametric statistics; Confidence intervals for standard deviation and variance; Quick world guide; Quick example guide; Quick symbol guide; Quick formula guide; Multiple regression computer program.