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The Statistical Analysis of Experimental Data (Dover Books on Mathematics) John

The Statistical Analysis of Experimental Data (Dover Books on Mathematics) John Mandel paperback Publisher: Dover Publications Sep 1 1984 Edition: ISBN: 9780486646664 Description: Used – Good Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains. Internal SKU: H14B-01952 Wonder Bookhas been in business since 1980 and online since 1997! We have three brick and mortar stores in Baltimore/DC region and over 2 million books online. We have served millions of happy customers. Our merchandise is 100% guaranteed! Simply return the item within 30 days of purchase for a refund. Most of our items ship within one business day via DHL or USPS. Standard Continental U.S. Shipments will arrive within 3-7 business days, Priority 2-6. Check out our multiple item shipping discounts. Check out our other listings! We have over 150,000 additional titles in books/movies/music categories and we are adding 100”s of titles every day so please subscribe to our listings.

The Statistical Analysis Of Experimental Data

Please refer to the section BELOW (and NOT ABOVE) this line for the product details – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – Title:The Statistical Analysis Of Experimental DataISBN13:9780486646664ISBN10:0486646661Author:Mandel, John (Author), Mandel (Author), Engineering (Author)Description:The Increasing Importance In Laboratory Situations Of Minutely Precise Measurements Presents The Chemist And Physicist With Numerous Problems In Data Analysis National Bureau Of Standards Statistics Consultant John Mandel Here Draws A Clear And Fascinating Blueprint For A Systematic Science Of Statistical Analysis — Geared To The Particular Needs Of The Physical Scientist, With Approach And Examples Aimed Specifically At The Statistical Problems He Is Likely To Confront The First Third Of The Statistical Analysis Of Experimental Data Comprises A Thorough Grounding In The Fundamental Mathematical Definitions, Concepts, And Facts Underlying Modern Statistical Theory — Math Knowledge Beyond Basic Algebra, Calculus, And Analytic Geometry Is Not Required Remaining Chapters Deal With Statistics As An Interpretative Tool That Can Enable The Laboratory Researcher To Determine His Most Effective Methodology You’ll Find Lucid, Concise Coverage Of Over 130 Topics, Including Elements Of Measurement; Nature Of Statistical Analysis; Designanalysis Of Experiments; Statistics As Diagnostic Tool; Precision And Accuracy; Testing Statistical Models; Between-Within Classifications; Two-Way Classifications; Sampling (Principles, Objectives, Methods); Fitting Of Non-Linear Models; Measurement Of Processes; Components Of Variance; Nested Designs; The Sensitivity Ratio, And Much More Also Included Are Many Examples, Each Worked In Step-By-Step Fashion; Nearly 200 Helpful Figures And Tables; And Concluding Chapter Summaries Followed By References For Further Study Mandel Argues That, When Backed By An Understanding Of Its Theoretic Framework, Statistics Offers Researchers Not Only A Powerful Tool For The Interpretation Of Experiments But Also A Task Of Real Intellectual Gratification The Statistical Analysis Of Experimental Data Provides The Physical Scientist With The Explanations And Models He Requires To Impress This Invaluable Tool Into Service The Increasing Importance In Laboratory Situations Of Minutely Precise Measurements Presents The Scientist With Numerous Problems In Data Analysis National Bureau Of Standards Statistics Consultant John Mandel Here Draws A Clear Blueprint For Statistical Analysis, Geared To The Particular Needs Of The Physical Scientist Includes Examples Worked In Step-By-Step Fashion And Nearly 200 Figures And Tables Binding:Paperback, PaperbackPublisher:DOVER PUBN INCPublication Date:1984-09-01Weight:1.1 lbsDimensions:0.7” H x 8.4” L x 5.4” WNumber of Pages:432Language:English