Project-based R companion to introductory statistics / Chelsea Myers.

By: Myers, Chelsea [author.]Material type: TextTextPublisher: Boca Raton : Chapman & Hall/CRC, 2020Description: 1 online resource (xiv, 169 pages) : illustrations (black and white)Content type: text | still image Media type: computer Carrier type: online resourceISBN: 9781000329919; 1000329917; 9781000329896; 1000329895; 9781000329902; 1000329909; 0429292007; 9780429292002Subject(s): Mathematical statistics -- Data processing | R (Computer program language) | MATHEMATICS / Probability & Statistics / GeneralDDC classification: 519.502855133 LOC classification: QA276.4 | .M94 2021ebOnline resources: Taylor & Francis | OCLC metadata license agreement Summary: "One of the most difficult transitions students face when beginning a first "real" job after college is moving beyond solving the well-designed problems found in textbooks to tackling the messy, complex problems they face in the real world. Statistics: A Project-Based Approach Using R is designed as a companion text for undergraduate students who wish to learn basic R programming and gain experience analyzing data from larger, real-world projects. Topics covered include working with R and RStudio, basic descriptive statistics, two-way tables, simple linear regression and hypothesis testing for means and proportions"-- Provided by publisher.
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
No physical items for this record

"One of the most difficult transitions students face when beginning a first "real" job after college is moving beyond solving the well-designed problems found in textbooks to tackling the messy, complex problems they face in the real world. Statistics: A Project-Based Approach Using R is designed as a companion text for undergraduate students who wish to learn basic R programming and gain experience analyzing data from larger, real-world projects. Topics covered include working with R and RStudio, basic descriptive statistics, two-way tables, simple linear regression and hypothesis testing for means and proportions"-- Provided by publisher.

OCLC-licensed vendor bibliographic record.

Technical University of Mombasa
Tom Mboya Street, Tudor 90420-80100 , Mombasa Kenya
Tel: (254)41-2492222/3 Fax: 2490571