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Research methods for science / by Michael P. Marder.

By: Material type: TextTextPublication details: Cambridge ; New York : Cambridge University Press, 2011.Description: 1 online resource (viii, 227 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511932977
  • 0511932979
  • 9780511927782
  • 0511927789
  • 0511925247
  • 9780511925245
  • 9781139035118
  • 1139035118
  • 9786612978210
  • 661297821X
Subject(s): Genre/Form: Additional physical formats: Print version:: Research methods for science.DDC classification:
  • 507.2 22
LOC classification:
  • Q180.55.M4 M37 2011eb
Online resources:
Contents:
1. Curiosity and research: Course goals -- Kinds of questions -- Research methods for science -- Putting methods together -- 2. Overview of experimental analysis and design: Hypothesis-driven experiments -- Measuring values -- Improving experiments -- Safety and ethics -- 3. Statistics: Motivations for statistics -- Reducing many numbers to few -- Probability distributions -- Connecting data and probability distributions -- What happens to averages as N increases -- Central limit theorem -- Comparing many experimental measurements -- Data with many values of independent variable -- Other statistical tests -- 4. Mathematical models: Ingredients of mathematical modeling -- Estimation -- Linear regression -- Matching arbitrary functions to data -- Fourier transforms -- Deterministic modeling -- 5. Scientific information: Writing a proposal -- Writing scientific papers -- Scientific figures -- Giving scientific presentations -- Searching for scientific information -- Obtaining scientific articles -- Reading scientific papers.
Summary: An introduction to the design, analysis, and presentation of scientific projects, this is an essential textbook for undergraduate majors in science and mathematics. The book discusses experimental design, statistics, mathematical modelling, and preparing scientific papers and presentations.
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Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Includes bibliographical references and index.

Print version record.

An introduction to the design, analysis, and presentation of scientific projects, this is an essential textbook for undergraduate majors in science and mathematics. The book discusses experimental design, statistics, mathematical modelling, and preparing scientific papers and presentations.

1. Curiosity and research: Course goals -- Kinds of questions -- Research methods for science -- Putting methods together -- 2. Overview of experimental analysis and design: Hypothesis-driven experiments -- Measuring values -- Improving experiments -- Safety and ethics -- 3. Statistics: Motivations for statistics -- Reducing many numbers to few -- Probability distributions -- Connecting data and probability distributions -- What happens to averages as N increases -- Central limit theorem -- Comparing many experimental measurements -- Data with many values of independent variable -- Other statistical tests -- 4. Mathematical models: Ingredients of mathematical modeling -- Estimation -- Linear regression -- Matching arbitrary functions to data -- Fourier transforms -- Deterministic modeling -- 5. Scientific information: Writing a proposal -- Writing scientific papers -- Scientific figures -- Giving scientific presentations -- Searching for scientific information -- Obtaining scientific articles -- Reading scientific papers.

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