Learning statistics using R / Randall E. Schumacker.
Material type: TextPublisher: Los Angeles : SAGE, 2014Description: 648 pagesContent type: text Media type: unmediated Carrier type: volumeISBN: 9781452286297 (pbk.) :Subject(s): R (Computer program language) | Statistics -- Data processing | Mathematics | MathematicsDDC classification: 519.5'02855133 Summary: Distinguishing itself by not only teaching statistics in a straightforward and concise manner, but by also having clear explanations of how to run and utilize R, this book covers a wide range of topics from statistical topics of probability and sampling distribution to statistical theorems and chi-square.Item type | Current library | Home library | Shelving location | Class number | Status | Date due | Barcode | Item reservations | |
---|---|---|---|---|---|---|---|---|---|
Book | Paul Hamlyn Library | Paul Hamlyn Library | Floor 2 | 519.5028551 SCH (Browse shelf(Opens below)) | Ordered | 06481892 | |||
Book | Paul Hamlyn Library | Paul Hamlyn Library | Floor 2 | 519.5028551 SCH (Browse shelf(Opens below)) | Available | 06481906 | |||
Book | Paul Hamlyn Library | Paul Hamlyn Library | Floor 2 | 519.5028551 SCH (Browse shelf(Opens below)) | Available | 0648199X |
Total reservations: 0
Browsing Paul Hamlyn Library shelves, Shelving location: Floor 2 Close shelf browser (Hides shelf browser)
519.5028551 HAR Statistics with R : solving problems using real-world data / | 519.5028551 HAR Statistics with R : solving problems using real-world data / | 519.5028551 HAR Statistics with R : solving problems using real-world data / | 519.5028551 SCH Learning statistics using R / | 519.5028551 SCH Learning statistics using R / | 519.5028551 SCH Learning statistics using R / | 519.5028553 FIE Discovering statistics using IBM SPSS statistics / |
Includes bibliographical references and index.
Distinguishing itself by not only teaching statistics in a straightforward and concise manner, but by also having clear explanations of how to run and utilize R, this book covers a wide range of topics from statistical topics of probability and sampling distribution to statistical theorems and chi-square.
Specialized.
There are no comments on this title.
Log in to your account to post a comment.