Image from Google Jackets

Statistics done wrong : the woefully complete guide / by Alex Reinhart.

By: Material type: TextTextPublisher: San Francisco : No Starch Press, [2015]Description: xviii, 152 pages : illustrations ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781593276201 (pbk.)
  • 1593276206 (pbk.)
Subject(s): DDC classification:
  • 519.5 23
LOC classification:
  • QA276 .R396 2015
Contents:
An introduction to data analysis -- Statistical power and underpowered statistics -- Pseudoreplication : choose your data wisely -- The p value and the base rate fallacy -- When differences in significance aren't significant differences -- Double-dipping in the data -- Correlation -- Model abuse -- Researcher freedom: good vibrations -- Everybody makes mistakes -- Hiding the data -- What can be done? (conclusion).
Summary: "Discusses how to avoid the most common statistical errors in modern research, and perform more accurate statistical analyses"-- Provided by publisher.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Date due Barcode
Books Books RLKU Library & Information Resource Center 005 REI (Browse shelf(Opens below)) Available 12541
Books Books RLKU Library & Information Resource Center 005 REI (Browse shelf(Opens below)) Available 12542
Books Books RLKU Library & Information Resource Center 005 REI (Browse shelf(Opens below)) Available 12543
Books Books RLKU Library & Information Resource Center 005 REI (Browse shelf(Opens below)) Available 12544
Books Books RLKU Library & Information Resource Center 005 REI (Browse shelf(Opens below)) Available 12545

Includes bibliographical references (pages 131-146) and index.

An introduction to data analysis -- Statistical power and underpowered statistics -- Pseudoreplication : choose your data wisely -- The p value and the base rate fallacy -- When differences in significance aren't significant differences -- Double-dipping in the data -- Correlation -- Model abuse -- Researcher freedom: good vibrations -- Everybody makes mistakes -- Hiding the data -- What can be done? (conclusion).

"Discusses how to avoid the most common statistical errors in modern research, and perform more accurate statistical analyses"-- Provided by publisher.

There are no comments on this title.

to post a comment.
Chief Librarian: Shafqat Rafique Jagranvi
© Copyright 2023- Rashid Latif Khan University(LIRC) Lahore. All Rights Reserved,
IDEAS Technology