Designed to help students gain sufficient knowledge of statistical methods to intelligently read quantitative research in fields ranging from chemistry to speech. No prior background in statistics or advanced mathematics in required. Sections emphasize the contrast between descriptive and hypothesis-testing. A new sample data set is included, and Cluster Analysis is added as a topic. Useful references include an index of key terms, a glossary of symbols, and appendices.
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6 of 6 people found the following review helpful:
5.0 out of 5 stars
A book that has stuck with me,
By Karen Vaughan "Herblady" (Park Slope, Brooklyn, NY USA) - See all my reviews (VINE VOICE) (REAL NAME)
This review is from: Reasoning With Statistics: How To Read Quantitative Research (Paperback)
I used the first edition of Williams' Reasoning with Statistics in the late 70s when I was studying city and regional planning. I had an ambivalent to negative view of statistics (late registration had put me in the class.) But I came to enjoy both the subject and the book, and it led me to further statistical classes. I remember the title decades later. Its strength lies in showing how to use statistics meaningfully in the analysis of real world problems and it is designed to allow non mathemeticians to feel comfortable using statistical methods. It achieves its goal.
4.0 out of 5 stars
Good Book,
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This review is from: Reasoning With Statistics: How To Read Quantitative Research (Paperback)
An in-depth view on statistics, required in the class of PR research, it really helps to build a statistical insight in conducting PR research and analyze the data. Good book!
0 of 12 people found the following review helpful:
5.0 out of 5 stars
Excellent condition,
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This review is from: Reasoning With Statistics: How To Read Quantitative Research (Paperback)
The book arrived in great shape in just a few days, which is amazing for a shipment to Hawaii.
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