Description 
1 online resource (viii, 93 pages) 
Series 
Synthesis lectures on biomedical engineering ; #14 

Synthesis lectures on biomedical engineering (Online) ; #14.

Contents 
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  Onefactor experiments  Linear regression and correlation analysis  Power analysis and sample size  Power of a test  Power tests to determine sample size  Just the beginning 
Summary 
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 universitylevel biomedical engineering student who needs a barebones 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 
Notes 
Title from PDF title page (viewed October 3, 2007) 
Bibliography 
Includes bibliographical references (page 91) 
Notes 
English 
Subject 
Medical statistics.


Biomedical engineering  Statistical methods


Biometry.


Statistics.


Biomedical engineering.


Medical personnel.


Mathematics.


Engineering.


Physical sciences.


Public health.


Medical care.


Biomedical engineers.


Statistics as Topic


Biomedical Engineering


Epidemiologic Methods


Health Care Evaluation Mechanisms


Health Occupations


Mathematics


Engineering


Technology, Industry, and Agriculture


Quality of Health Care


Investigative Techniques


Natural Science Disciplines


Disciplines and Occupations


Public Health


Environment and Public Health


Technology, Industry, Agriculture


Analytical, Diagnostic and Therapeutic Techniques and Equipment


Health Care Quality, Access, and Evaluation


Delivery of Health Care


Biometry


Biomedical Technology


Health Workforce


Health Personnel


Patient Care


biometrics.


biomedical engineering.


mathematics.


applied mathematics.


engineering.


physical sciences.


public health.


biomedical engineers.


statistics.


MEDICAL  Research.


Statistics


Public health


Physical sciences


Medical personnel


Medical care


Mathematics


Engineering


Biomedical engineers


Biomedical engineering


Biometry


Medical statistics

Genre/Form 
Medical statistics


Medical statistics.

Form 
Electronic book

ISBN 
1598291971 

9781598291971 

9781598294491 

1598294490 

9783031016202 

3031016203 
