null
Loading... Please wait...
FREE SHIPPING on All Unbranded Items LEARN MORE
Print This Page

Making Sense of Data and Statistics in Psychology

List Price: $53.00
SKU:
9780230205741
Quantity:
  • Availability: Confirm prior to ordering
  • Branding: minimum 50 pieces (add’l costs below)
  • Check Freight Rates (branded products only)

Branding Options (v), Availability & Lead Times

  • 1-Color Imprint: $2.00 ea.
  • Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
  • Belly-Band Wrap: $2.50 ea. (full-color printed)
  • Set-Up Charge: $45 per decoration
FULL DETAILS
  • Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
  • Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
  • Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
  • RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
  • Product Details

    Author:
    Gerry Mulhern, Brian Greer
    Format:
    Paperback
    Pages:
    320
    Publisher:
    Palgrave Macmillan (June 15, 2011)
    Language:
    English
    Audience:
    Professional and scholarly
    ISBN-13:
    9780230205741
    ISBN-10:
    0230205747
    Weight:
    27.92oz
    Dimensions:
    7.43" x 9.8" x 0.88"
    Case Pack:
    10
    File:
    CHILDSPLAY-macmillan_us_academic_onix21-2016-0403-20160404a.xml
    Folder:
    CHILDSPLAY
    As low as:
    $40.81
    Publisher Identifier:
    P-CHILDSPLAY
    Discount Code:
    A
    Pub Discount:
    65
  • Overview

    Making Sense of Data and Statistics in Psychology confronts the pedagogic challenge of teaching statistics to students in psychology and related disciplines. Recognising the heterogeneous nature of students' mathematical backgrounds and motivations, the authors adopt an innovative approach while ensuring ready integration into orthodox undergraduate statistics courses at introductory and post-introductory levels. Before being introduced to formal statistics, students are encouraged to develop a 'feel' for data, particularly through visual representation. Making extensive use of exploratory data analysis (EDA), the text emphasises conceptual rather than technical or procedural understanding.