## Introduction to statistics for biomedical engineers / Kristina M. Ropella.

Material type: TextSeries: Synthesis lectures on biomedical engineering ; #14.Publication details: San Rafael, Calif. : Morgan & Claypool Publishers, c2007Description: viii, 93 p. : ill. ; 24 cmISBN: 9781598294491 (hbk.)Uniform titles: Synthesis digital library of engineering and computer science. Subject(s): Medical statistics | Biomedical engineering -- Statistical methods | BiometryDDC classification: 610.28 LOC classification: RA409 | .R67 2007Also available in print.Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
---|---|---|---|---|---|---|---|

General Circulation | APU Library Open Shelf | Book | RA409 .R67 2007 c.1 (Browse shelf (Opens below)) | 1 | Available (No use restrictions) | 00023055 |

Part of: Synthesis digital library of engineering and computer science.

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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.

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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.

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