Practical Statistics Simply Explained (Dover Books on Mathematics) Russell Lan..

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“Pages and cover are tanned. Some wear on cover.”
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Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See all condition definitionsopens in a new window or tab
Seller Notes
“Pages and cover are tanned. Some wear on cover.”
Book Title
Practical Statistics Simply Explained (Dover Books on Mathematics
ISBN
9780486227290
Category

About this product

Product Identifiers

Publisher
Dover Publications, Incorporated
ISBN-10
0486227294
ISBN-13
9780486227290
eBay Product ID (ePID)
613188

Product Key Features

Number of Pages
399 Pages
Publication Name
Practical Statistics Simply Explained
Language
English
Publication Year
1971
Subject
Probability & Statistics / General
Features
Revised
Type
Textbook
Subject Area
Mathematics
Author
Russell A. Langley
Series
Dover Books on Mathematics Ser.
Format
Trade Paperback

Dimensions

Item Weight
15.9 Oz
Item Length
8.5 in
Item Width
5.5 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
Illustrated
Yes
Edition Description
Revised edition
Synopsis
In the many fields beginning to use mathematics widely (business, biology, the social and political science, for example) a knowledge of statistics has become almost as imperative as the ability to read and write. This useful volume promises to be the salvation of those who, despite a distaste for math, need to use statistics in their work. Approaching the topic through logic and common sense rather than via complex mathematics, the author introduces the principle and applications of statistics, and teaches his reader to extract truth and draw valid conclusions from numerical data. An indispensable first chapter warns the reader on the ways he can be misled by numbers, and the ways in which numbers are used to misrepresent the truth (arithmetical errors, false percentages, fictitious precision, incomplete data, faulty comparisons, improper sampling, failure to allow for the effect of chance and misleading presentation). There follows a wealth of information on probability, sampling, averages and scatter, the design of investigations, significance tests -- all presented in terms of specific, carefully worked out cases that make them both interesting and immediately understandable to the layman. The book is so entertaining, so eminently practical, that you'll gain expertise in the laws of chance, probability formulae, sampling methods, calculating the arithmetic mean and standard deviation, finding the geometric and the logarithmic mean, constructing an effective experiment or investigation using statistics, and a wide range of tests determining significance (zM test, X2 text, runs test for randomness and a number of others) and scores of other important skills -- in a form so palatable you'll hardly realize how much you are learning, Scores of tables illustrate the text, and a complete table of squares and square roots is provided for your convenience. A handy guide to significance tests helps you to choose the test valid and appropriate for your data with speed and ease. Written with humor, clarity, and eminent good sense by a scientist of international reputation, this book is for anyone who wants to dispel the mystery of the numbers that pervade modern life, from news articles to literary criticism. For the biologist, sociologist, experimental psychologist or anyone whose profession requires the handling of a large mass of data, it will be of incalculable value., Primer on how to draw valid conclusions from numerical data using logic and the philosophy of statistics rather than complex formulae. Discusses averages and scatter, investigation design, more. Problems, solutions., For those who need to know statistics but shy away from math, this book teaches how to extract truth and draw valid conclusions from numerical data using logic and the philosophy of statistics rather than complex formulae. Lucid discussion of averages and scatter, investigation design, more. Problems with solutions.

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