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008210727s2021 flu ob 001 0 eng
010 ▼a 2021030683
019 ▼a 1288574182
020 ▼a 9781003004899 ▼q electronic book
020 ▼a 100300489X
020 ▼q electronic book
020 ▼a 1000504166 ▼q electronic book
020 ▼a 9781000504163 ▼q electronic book
020 ▼z 9780367436674 ▼q hardcover
020 ▼z 9781032154411 ▼q paperback
035 ▼a 2958236 ▼b (N$T)
035 ▼a (OCoLC)1264735314 ▼z (OCoLC)1288574182
040 ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d OCLCO ▼d OCLCF ▼d YDX ▼d N$T ▼d UKAHL ▼d 247004
042 ▼a pcc
05000 ▼a QA276 ▼b .S646 2021
08200 ▼a 519.5 ▼2 23
1001 ▼a Speegle, Darrin, ▼e author.
24510 ▼a Probability, statistics, and data : ▼b a fresh approach using R/ ▼c Darrin Speegle and Bryan Clair.
264 1 ▼a Boca Raton : ▼b CRC Press, ▼c 2021.
300 ▼a 1 online resource.
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
4901 ▼a Texts in statistical science
504 ▼a Includes bibliographical references and index.
520 ▼a "This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized, quantified using simulations, and demonstrated with real data. The book compares parametric and non-parametric methods through simulation, allowing for a thorough investigation of testing error and power. The text builds R skills from the outset, allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques. Fifty-two data sets are included in the complementary R package fosdata. Most of these data sets are from recently published papers, so that you are working with current, real data, which is often large and messy. Two central chapters use powerful tidyverse tools (dplyr, ggplot2, tidyr, stringr) to wrangle data and produce meaningful visualizations. Preliminary versions of the book have been used for five semesters at Saint Louis University, and the majority of the more than 400 exercises have been classroom tested"-- ▼c Provided by publisher.
588 ▼a Description based upon online resource; title from PDF title page (viewed December 13, 2021).
590 ▼a OCLC control number change
650 0 ▼a Mathematical statistics.
650 0 ▼a Probabilities.
650 0 ▼a R (Computer program language)
650 7 ▼a Mathematical statistics. ▼2 fast ▼0 (OCoLC)fst01012127
650 7 ▼a Probabilities. ▼2 fast ▼0 (OCoLC)fst01077737
650 7 ▼a R (Computer program language) ▼2 fast ▼0 (OCoLC)fst01086207
655 4 ▼a Electronic books.
7001 ▼a Clair, Bryan, ▼e author,
77608 ▼i Print version: ▼a Speegle, Darrin. ▼t Probability, statistics, and data ▼d Boca Raton : CRC Press, 2021 ▼z 9780367436674 ▼w (DLC) 2021030682
830 0 ▼a Texts in statistical science.
85640 ▼3 EBSCOhost ▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2958236
938 ▼a EBSCOhost ▼b EBSC ▼n 2958236
990 ▼a ***1818828
991 ▼a E-BOOK
994 ▼a 92 ▼b N$T