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Statistical Inference via Data Science
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Located in: Lansdale, PA, United States
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About this item
Seller assumes all responsibility for this listing.
eBay item number:357596609469
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN
- 9781032708379
About this product
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1032708379
ISBN-13
9781032708379
eBay Product ID (ePID)
13072733515
Product Key Features
Number of Pages
496 Pages
Publication Name
Statistical Inference Via Data Science : a Moderndive Into Rand the Tidyverse
Language
English
Subject
Probability & Statistics / Regression Analysis, General, Data Processing, Statistics
Publication Year
2025
Type
Textbook
Subject Area
Mathematics, Computers, Business & Economics
Series
Chapman & Hall/Crc the R Ser.
Format
Trade Paperback
Dimensions
Item Weight
15.9 Oz
Item Length
10 in
Item Width
7 in
Additional Product Features
Edition Number
2
Intended Audience
Trade
LCCN
2024-047582
Illustrated
Yes
Synopsis
Offers a comprehensive guide to learning statistical inference with data science tools widely used in industry, academia, and government. Ideal for those new to statistics or looking to deepen their knowledge, this edition provides a clear entry point into data science and modern statistical methods., Statistical Inference via Data Science: A ModernDive into R and the Tidyverse, Second Edition offers a comprehensive guide to learning statistical inference with data science tools widely used in industry, academia, and government. The first part of this book introduces the tidyverse suite of R packages, including ggplot2 for data visualization and dplyr for data wrangling. The second part introduces data modeling via simple and multiple linear regression. The third part presents statistical inference using simulation-based methods within a general framework implemented in R via the infer package, a suitable complement to the tidyverse . By working with these methods, readers can implement effective exploratory data analyses, conduct statistical modeling with data, and carry out statistical inference via confidence intervals and hypothesis testing. All these tasks are performed strongly emphasizing data visualization. Key Features in the Second Edition: Minimal Prerequisites : no prior calculus or coding experience is needed, making the content accessible to a wide audience. Real-World Data : learn with real-world datasets, including all domestic flights leaving New York City in 2023, the Gapminder project, FiveThirtyEight.com data, and new datasets on health, global development, music, coffee quality, and geyser eruptions. Simulation-Based Inference : statistical inference through simulation-based methods. Expanded Theoretical Discussions : includes deeper coverage of theory-based approaches, their connection with simulation-based approaches, and a presentation of intuitive and formal aspects of these methods. Enhanced Use of the infer Package : leverages the infer package for "tidy" and transparent statistical inference, enabling readers to construct confidence intervals and conduct hypothesis tests through multiple linear regression and beyond. Dynamic Online Resources : all code and output are embedded in the text, with additional interactive exercises, discussions, and solutions available online at the book website. Broadened Applications : Suitable for undergraduate and graduate courses, including statistics, data science, and courses emphasizing reproducible research. The first edition of the book has been used in so many different ways; for courses in statistical inference, statistical programming, business analytics, and data science for social policy, and by professionals in many more. Ideal for those new to statistics or looking to deepen their knowledge, this edition provides a clear entry point into data science and modern statistical methods.
LC Classification Number
QA276.45.R3I86 2025
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- g***t (180)- Feedback left by buyer.Past monthVerified purchaseSeller is an absolute nightmare. Seller is a crook. Seller did not send the item. Seller left me a back feedback comment disguised as positive feedback in order to circumvent ebay rules. I waited weeks before I even complained to Ebay. Would you wait over a month for a book to be shipped? Doubtful. Better late than never, except this time its never. Seller is likely a drop shipper. Avoid! Thank me later.
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Popular categories from this store
Seller feedback (97)
- g***t (180)- Feedback left by buyer.Past monthVerified purchaseSeller is an absolute nightmare. Seller is a crook. Seller did not send the item. Seller left me a back feedback comment disguised as positive feedback in order to circumvent ebay rules. I waited weeks before I even complained to Ebay. Would you wait over a month for a book to be shipped? Doubtful. Better late than never, except this time its never. Seller is likely a drop shipper. Avoid! Thank me later.
- j***a (1356)- Feedback left by buyer.Past monthVerified purchaseGreat seller, fast shipping!
- e***9 (1446)- Feedback left by buyer.Past 6 monthsVerified purchaseWell packaged and came in good condition.