
Describing and Interpreting Data
Sandy MacRae(Author)
Wiley (Publisher)
Published on 29. January 1994
Book
Paperback/Softback
54 pages
978-1-85433-114-4 (ISBN)
Description
Open Learning Units offer a very flexible approach to the teaching of psychology. They are designed to be more than sufficient for the purposes of A/S and A-Level psychology, and the applied emphasis will appeal to various vocational courses such as those offered by BTEC and also to mature students on Access courses.
Their primary use will be in the classroom with a tutor's guidance, but the interactive style makes them equally appropriate for the purposes of self-study. More advanced students might want to use the Units to learn at their own pace, and in all cases, the careful structure of the writing and the extensive use of Examples, Open Questions and Self-Assessment Questions make them ideal revision guides.
Their primary use will be in the classroom with a tutor's guidance, but the interactive style makes them equally appropriate for the purposes of self-study. More advanced students might want to use the Units to learn at their own pace, and in all cases, the careful structure of the writing and the extensive use of Examples, Open Questions and Self-Assessment Questions make them ideal revision guides.
More details
Series
Language
English
Place of publication
Hoboken
United Kingdom
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Adult education
Dimensions
Height: 269 mm
Width: 185 mm
Thickness: 4 mm
Weight
145 gr
ISBN-13
978-1-85433-114-4 (9781854331144)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Sandy MacRae is the author of Describing and Interpreting Data, published by Wiley.
Content
1. Organizing data. 2. Mode, median, mean.
3. Measures of spread.
4. Distributions.
5. Standard scores and normal curve.
6. Graphs of relationships.
7. Correlation.
3. Measures of spread.
4. Distributions.
5. Standard scores and normal curve.
6. Graphs of relationships.
7. Correlation.