The Houghton Mifflin Series in Statistics: Introduction to Statistics : A Fresh Approach by Gottfried E. Noether (Hardcover)
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Introduction to statistics;: A fresh approach (The Houghton Mifflin series in statistics) by Gottfried E Noether Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less
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About this product
Product Identifiers
PublisherHoughton Mifflin Harcourt Publishing Company
ISBN-100395050014
ISBN-139780395050019
eBay Product ID (ePID)4717240
Product Key Features
SubjectProbability & Statistics / General
Number of PagesXvi, 253 Pages
LanguageEnglish
Publication NameIntroduction to Statistics : a Fresh Approach
TypeTextbook
AuthorGottfried E. Noether
Subject AreaMathematics
SeriesThe Houghton Mifflin Series in Statistics
FormatHardcover
Additional Product Features
LCCN77-135750
IllustratedYes
Dewey Decimal519/.5
SynopsisThe introductory statistics course presents serious pedagogical problems to the instructor. For the great majority of students, the course represents the only formal contact with statistical thinking that he or she will have in college. Students come from many different fields of study, and a large number suffer from math anxiety. Thus, an instructor who is willing to settle for some limited objectives will have a much better chance of success than an instructor who aims for a broad exposure to statistics. Many statisticians agree that the primary objective of the introductory statistics course is to introduce students to variability and uncertainty and how to cope with them when drawing inferences from observed data. Addi tionally, the introductory COurse should enable students to handle a limited number of useful statistical techniques. The present text, which is the successor to the author's Introduction to Statistics: A Nonparametric Approach (Houghton Mifflin Company, Boston, 1976), tries to meet these objectives by introducing the student to the ba sic ideas of estimation and hypothesis testing early in the course after a rather brief introduction to data organization and some simple ideas about probability. Estimation and hypothesis testing are discussed in terms of the two-sample problem, which is both conceptually simpler and more realistic than the one-sample problem that customarily serves as the basis for the discussion of statistical inference."
LC Classification NumberHA29.N775
