Introduction to statistics for biomedical engineers
By: Ropella, Kristina M. (Kristina Marie).
Material type:
BookSeries: Synthesis lectures on biomedical engineering: #14.Publisher: San Rafael, Calif. (1537 Fourth St, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2007Description: 1 electronic text (viii, 93 p. : ill. ) : digital file.ISBN: 1598291971 (electronic bk.); 9781598291971 (electronic bk.); 1598291963 (pbk.); 9781598291964 (pbk.).Uniform titles: Synthesis digital library of engineering and computer science. Subject(s): Biometry | Biomedical engineering -- Statistical methods | Medical statistics | Power test | Confidence interval | Normal distribution | ANOVA | Physiology | Hypothesis testing | Probability modelDDC classification: 610.72 Online resources: Abstract with links to resource | Abstract with links to resource Also available in print.| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
E books
|
PK Kelkar Library, IIT Kanpur | Available | EBKE004 |
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Part of: Synthesis digital library of engineering and computer science.
Series from website.
Includes bibliographical references (p. 91).
Collecting data and experimental design -- Data summary and descriptive statistics -- Why do we collect data? -- Why do we need statistics? -- What questions do we hope to address with our statistical analysis? -- How do we graphically summarize data? -- General approach to statistical analysis -- Descriptive statistics -- Assuming a probability model from the sample data -- The standard normal distribution -- The normal distribution and sample mean -- Confidence interval for the sample mean -- The t distribution -- Confidence interval using t distribution -- Statistical inference -- Comparison of population means -- Comparison of two variances -- Comparison of three or more population means -- One-factor experiments -- Linear regression and correlation analysis -- Power analysis and sample size -- Power of a test -- Power tests to determine sample size -- Just the beginning.
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
Google book search
INSPEC
Google scholar
Compendex
There are many books written about statistics, some brief, some detailed, some humorous, some colorful, and some quite dry. Each of these texts is designed for a specific audience. Too often, texts about statistics have been rather theoretical and intimidating for those not practicing statistical analysis on a routine basis. Thus, many engineers and scientists, who need to use statistics much more frequently than calculus or differential equations, lack sufficient knowledge of the use of statistics. The audience that is addressed in this text is the university-level biomedical engineering student who needs a bare-bones coverage of the most basic statistical analysis frequently used in biomedical engineering practice. The text introduces students to the essential vocabulary and basic concepts of probability and statistics that are required to perform the numerical summary and statistical analysis used in the biomedical field. This text is considered a starting point for important issues to consider when designing experiments, summarizing data, assuming a probability model for the data, testing hypotheses, and drawing conclusions from sampled data.
Also available in print.
Title from PDF t.p. (viewed on Nov. 4, 2008).
There are no comments for this item.