The Resource Statistics for the life sciences, Myra Samuels, Jeffrey Witmer, Andrew Schaffner

Statistics for the life sciences, Myra Samuels, Jeffrey Witmer, Andrew Schaffner

Label
Statistics for the life sciences
Title
Statistics for the life sciences
Statement of responsibility
Myra Samuels, Jeffrey Witmer, Andrew Schaffner
Creator
Contributor
Subject
Genre
Language
eng
Cataloging source
DLC
http://library.link/vocab/creatorName
Samuels, Myra L
Index
index present
LC call number
QH323.5
LC item number
.S23 2012
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Witmer, Jeffrey A
  • Schaffner, Andrew A
http://library.link/vocab/subjectName
  • Biometry
  • Medical statistics
  • Agriculture
  • Agriculture
  • Biometry
  • Medical statistics
  • Biometry
  • Statistics
  • Biometrie
Label
Statistics for the life sciences, Myra Samuels, Jeffrey Witmer, Andrew Schaffner
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Contents
  • 2.
  • 7.6.
  • More on interpretation of statistical significance;
  • 7.7.
  • Planning for Adequate power (optional);
  • 7.8.
  • Student's t: conditions and summary;
  • 7.9.
  • More on principles of testing hypotheses;
  • 7.10.
  • The Wilcoxon-Mann-Whitney test;
  • Description of Samples and Populations:
  • 7.11.
  • Perspective
  • 8.
  • Comparison of Paired Samples:
  • 8.1.
  • Introduction;
  • 8.2.
  • The paired-sample t test and confidence interval;
  • 8.3.
  • The paired design;
  • 2.1.
  • 8.4.
  • The sign test;
  • 8.5.
  • The Wilcoxon Signed-Rank test;
  • 8.6.
  • Perspective
  • 9.
  • Categorical Data: One-Sample Distributions:
  • 9.1.
  • Dichotomous observations;
  • Introduction;
  • 9.2.
  • Confidence interval for a population proportion;
  • 9.3.
  • Other confidence levels (optional);
  • 9.4.
  • Inference for proportions: the Chi-Square goodness-of-fit test;
  • 9.5.
  • Perspective and summary
  • 10.
  • Categorical Data: Relationships:
  • 2.2.
  • 10.1.
  • Introduction;
  • 10.2.
  • The Chi-Square Test for the 2 X 2 contingency table;
  • 10.3.
  • Independence and association in the 2 X 2 contingency table;
  • 10.4.
  • Fisher's exact test (optional);
  • 10.5.
  • The r X k contingency table;
  • Frequency distributions;
  • 10.6.
  • Applicability of methods;
  • 10.7.
  • Confidence interval for difference between probabilities;
  • 10.8.
  • Paired data and 2 X 2 tables (optional);
  • 10.9.
  • Relative risk and the odds ratio (optional);
  • 10.10.
  • Summary of Chi-Square test
  • 2.3.
  • 11.
  • Comparing the Means of Many Independent Samples:
  • 11.1.
  • Introduction;
  • 11.2.
  • The basic one-way analysis of variance;
  • 11.3.
  • The analysis of variance model;
  • 11.4.
  • The global F test;
  • Descriptive statistics: measures of center;
  • 11.5.
  • Applicability of methods;
  • 11.6.
  • One-way randomized blocks design;
  • 11.7.
  • Two-way ANOVA;
  • 11.8.
  • Linear combinations of means (optional);
  • 11.9.
  • Multiple comparisons (optional);
  • 2.4.
  • 11.10.
  • Perspective
  • 12.
  • Linear Regression and Correlations:
  • 12.1.
  • Introduction;
  • 12.2.
  • The correlation coefficient;
  • 12.3.
  • The fitted regression line;
  • Boxplots;
  • 12.4.
  • Parametric interpretation of regression: the linear model;
  • 12.5.
  • Statistical inference concerning β1;
  • 12.6.
  • Guidelines for interpreting regression and correlation;
  • 12.7.
  • Precision in prediction (optional);
  • 12.8.
  • Perspective;
  • 1.
  • 2.5.
  • 12.9.
  • Summary of formulas
  • 13.
  • A Summary of Inference Methods:
  • 13.1.
  • Introduction;
  • 13.2.
  • Data analysis examples
  • Relationships between variables;
  • 2.6.
  • Measures of dispersion;
  • 2.7.
  • Effect of transformation of variables (optional);
  • 2.8.
  • Statistical inference;
  • 2.9.
  • Perspective
  • Introduction:
  • 3.
  • Probability and the Binomial Distribution:
  • 3.1.
  • Probability and the life sciences;
  • 3.2.
  • Introduction to probability;
  • 3.3.
  • Probability rules (optional);
  • 3.4.
  • Density curves;
  • 1.1.
  • 3.5.
  • Random variables;
  • 3.6.
  • The binomial distribution;
  • 3.7.
  • Fitting a binomial distribution to data (optional)
  • 4.
  • The Normal Distribution:
  • 4.1.
  • Introduction;
  • Statistics and the life sciences;
  • 4.2.
  • The normal curves;
  • 4.3.
  • Areas under a normal curve;
  • 4.4.
  • Assessing normality;
  • 4.5.
  • Perspective
  • 5.
  • Samling Distributions:
  • 1.2.
  • 5.1.
  • Basic ideas;
  • 5.2.
  • The sample mean;
  • 5.3.
  • Illustration of the Central Limit Theorem (optional);
  • 5.4.
  • The normal approximation to the binomial distribution (optional);
  • 5.5.
  • Perspective
  • Types of evidence;
  • .6.
  • Confidence Intervals:
  • 6.1.
  • Statistical estimation;
  • 6.2.
  • Standard error of the mean;
  • 6.3.
  • Confidence interval for μ
  • 6.4.
  • Planning a study to estimate μ
  • 1.3.
  • 6.5.
  • Conditions for validity of estimation methods;
  • 6.6.
  • Comparing two means;
  • 6.7.
  • Confidence interval for (μ1 [ -- ] μ2);
  • 6.8.
  • Perspective and summary
  • 7.
  • Comparision of Two Independent Samples:
  • Random sampling
  • 7.1.
  • Hypothesis testing: the randomization test;
  • 7.2.
  • Hypothesis testing: the t test;
  • 7.3.
  • Further discussion of the t test;
  • 7.4.
  • Association and causation;
  • 7.5.
  • One-tailed t tests;
Dimensions
26 cm.
Edition
4th ed.
Extent
xi, 654 p.
Isbn
9780321652805
Lccn
2010003559
Other control number
3538293
Other physical details
ill.
System control number
  • (OCoLC)504277555
  • (OCoLC)ocn504277555
Label
Statistics for the life sciences, Myra Samuels, Jeffrey Witmer, Andrew Schaffner
Publication
Bibliography note
Includes bibliographical references and index
Contents
  • 2.
  • 7.6.
  • More on interpretation of statistical significance;
  • 7.7.
  • Planning for Adequate power (optional);
  • 7.8.
  • Student's t: conditions and summary;
  • 7.9.
  • More on principles of testing hypotheses;
  • 7.10.
  • The Wilcoxon-Mann-Whitney test;
  • Description of Samples and Populations:
  • 7.11.
  • Perspective
  • 8.
  • Comparison of Paired Samples:
  • 8.1.
  • Introduction;
  • 8.2.
  • The paired-sample t test and confidence interval;
  • 8.3.
  • The paired design;
  • 2.1.
  • 8.4.
  • The sign test;
  • 8.5.
  • The Wilcoxon Signed-Rank test;
  • 8.6.
  • Perspective
  • 9.
  • Categorical Data: One-Sample Distributions:
  • 9.1.
  • Dichotomous observations;
  • Introduction;
  • 9.2.
  • Confidence interval for a population proportion;
  • 9.3.
  • Other confidence levels (optional);
  • 9.4.
  • Inference for proportions: the Chi-Square goodness-of-fit test;
  • 9.5.
  • Perspective and summary
  • 10.
  • Categorical Data: Relationships:
  • 2.2.
  • 10.1.
  • Introduction;
  • 10.2.
  • The Chi-Square Test for the 2 X 2 contingency table;
  • 10.3.
  • Independence and association in the 2 X 2 contingency table;
  • 10.4.
  • Fisher's exact test (optional);
  • 10.5.
  • The r X k contingency table;
  • Frequency distributions;
  • 10.6.
  • Applicability of methods;
  • 10.7.
  • Confidence interval for difference between probabilities;
  • 10.8.
  • Paired data and 2 X 2 tables (optional);
  • 10.9.
  • Relative risk and the odds ratio (optional);
  • 10.10.
  • Summary of Chi-Square test
  • 2.3.
  • 11.
  • Comparing the Means of Many Independent Samples:
  • 11.1.
  • Introduction;
  • 11.2.
  • The basic one-way analysis of variance;
  • 11.3.
  • The analysis of variance model;
  • 11.4.
  • The global F test;
  • Descriptive statistics: measures of center;
  • 11.5.
  • Applicability of methods;
  • 11.6.
  • One-way randomized blocks design;
  • 11.7.
  • Two-way ANOVA;
  • 11.8.
  • Linear combinations of means (optional);
  • 11.9.
  • Multiple comparisons (optional);
  • 2.4.
  • 11.10.
  • Perspective
  • 12.
  • Linear Regression and Correlations:
  • 12.1.
  • Introduction;
  • 12.2.
  • The correlation coefficient;
  • 12.3.
  • The fitted regression line;
  • Boxplots;
  • 12.4.
  • Parametric interpretation of regression: the linear model;
  • 12.5.
  • Statistical inference concerning β1;
  • 12.6.
  • Guidelines for interpreting regression and correlation;
  • 12.7.
  • Precision in prediction (optional);
  • 12.8.
  • Perspective;
  • 1.
  • 2.5.
  • 12.9.
  • Summary of formulas
  • 13.
  • A Summary of Inference Methods:
  • 13.1.
  • Introduction;
  • 13.2.
  • Data analysis examples
  • Relationships between variables;
  • 2.6.
  • Measures of dispersion;
  • 2.7.
  • Effect of transformation of variables (optional);
  • 2.8.
  • Statistical inference;
  • 2.9.
  • Perspective
  • Introduction:
  • 3.
  • Probability and the Binomial Distribution:
  • 3.1.
  • Probability and the life sciences;
  • 3.2.
  • Introduction to probability;
  • 3.3.
  • Probability rules (optional);
  • 3.4.
  • Density curves;
  • 1.1.
  • 3.5.
  • Random variables;
  • 3.6.
  • The binomial distribution;
  • 3.7.
  • Fitting a binomial distribution to data (optional)
  • 4.
  • The Normal Distribution:
  • 4.1.
  • Introduction;
  • Statistics and the life sciences;
  • 4.2.
  • The normal curves;
  • 4.3.
  • Areas under a normal curve;
  • 4.4.
  • Assessing normality;
  • 4.5.
  • Perspective
  • 5.
  • Samling Distributions:
  • 1.2.
  • 5.1.
  • Basic ideas;
  • 5.2.
  • The sample mean;
  • 5.3.
  • Illustration of the Central Limit Theorem (optional);
  • 5.4.
  • The normal approximation to the binomial distribution (optional);
  • 5.5.
  • Perspective
  • Types of evidence;
  • .6.
  • Confidence Intervals:
  • 6.1.
  • Statistical estimation;
  • 6.2.
  • Standard error of the mean;
  • 6.3.
  • Confidence interval for μ
  • 6.4.
  • Planning a study to estimate μ
  • 1.3.
  • 6.5.
  • Conditions for validity of estimation methods;
  • 6.6.
  • Comparing two means;
  • 6.7.
  • Confidence interval for (μ1 [ -- ] μ2);
  • 6.8.
  • Perspective and summary
  • 7.
  • Comparision of Two Independent Samples:
  • Random sampling
  • 7.1.
  • Hypothesis testing: the randomization test;
  • 7.2.
  • Hypothesis testing: the t test;
  • 7.3.
  • Further discussion of the t test;
  • 7.4.
  • Association and causation;
  • 7.5.
  • One-tailed t tests;
Dimensions
26 cm.
Edition
4th ed.
Extent
xi, 654 p.
Isbn
9780321652805
Lccn
2010003559
Other control number
3538293
Other physical details
ill.
System control number
  • (OCoLC)504277555
  • (OCoLC)ocn504277555

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