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1. Statistics for the life sciences [2016]
 Samuels, Myra L.
 Fifth edition.  Boston : Pearson, [2016]
 Description
 Book — ix, 637 pages : illustrations (some color) ; 26 cm
 Summary

 UNIT I: DATA AND DISTRIBUTIONS
 1. Introduction 1.1 Statistics and the Life Sciences 1.2 Types of Evidence 1.3 Random Sampling
 2. Description of Samples and Populations 2.1 Introduction 2.2 Frequency Distributions 2.3 Descriptive Statistics: Measures of Center 2.4 Boxplots 2.5 Relationships Between Variables 2.6 Measures of Dispersion 2.7 Effect of Transformation of Variables 2.8 Statistical Inference 2.9 Perspective
 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 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 4.2 The Normal Curves 4.3 Areas under a Normal Curve 4.4 Assessing Normality 4.5 Perspective
 5. Sampling Distributions 5.1 Basic Ideas 5.2 The Sample Mean 5.3 Illustration of the Central Limit Theorem 5.4 The Normal Approximation to the Binomial Distribution 5.5 Perspective Unit I Highlights and Study UNIT II: INFERENCE FOR MEANS
 6. Confidence Intervals 6.1 Statistical Estimation 6.2 Standard Error of the Mean 6.3 Confidence Interval for mu 6.4 Planning a Study to Estimate mu 6.5 Conditions for Validity of Estimation Methods 6.6 Comparing Two Means 6.7 Confidence Interval for (mu1  mu2) 6.8 Perspective and Summary
 7. Comparison of Two Independent Samples 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 OneTailed t Tests 7.6 More on Interpretation of Statistical Significance 7.7 Planning for Adequate Power 7.8 Student's t: Conditions and Summary 7.9 More on Principles of Testing Hypotheses 7.10 The WilcoxonMannWhitney Test
 8. Comparison of Paired Samples 8.1 Introduction 8.2 The PairedSample t Test and Confidence Interval 8.3 The Paired Design 8.4 The Sign Test 8.5 The Wilcoxon SignedRank Test 8.6 Perspective Unit II Highlights and Study UNIT III: INFERENCE FOR CATEGORICAL DATA
 9. Categorical Data: OneSample Distributions 9.1 Dichotomous Observations 9.2 Confidence Interval for a Population Proportion 9.3 Other Confidence Levels (Optional) 9.4 Inference for Proportions: The ChiSquare GoodnessofFit Test 9.5 Perspective and Summary
 10. Categorical Data: Relationships 10.1 Introduction 10.2 The ChiSquare 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 10.5 The r x k Contingency Table 10.6 Applicability of Methods 10.7 Confidence Interval for Difference Between Probabilities 10.8 Paired Data and
 2 x
 2 Tables 10.9 Relative Risk and the Odds Ratio 10.10 Summary of ChiSquare Test Unit III Highlights and Study UNIT IV: MODELING RELATIONSHIPS
 11. Comparing the Means of Many Independent Samples 11.1 Introduction 11.2 The Basic OneWay Analysis of Variance 11.3 The Analysis of Variance Model 11.4 The Global F Test 11.5 Applicability of Methods 11.6 OneWay Randomized Blocks Design 11.7 TwoWay ANOVA 11.8 Linear Combinations of Means 11.9 Multiple Comparisons 11.10 Perspective
 12. Linear Regression and Correlation 12.1 Introduction 12.2 The Correlation Coefficient 12.3 The Fitted Regression Line 12.4 Parametric Interpretation of Regression: The Linear Model 12.5 Statistical Inference Concerning beta1 12.6 Guidelines for Interpreting Regression and Correlation 12.7 Precision in Prediction 12.8 Perspective 12.9 Summary of Formulas Unit IV Highlights and Study
 13. A Summary of Inference Methods 13.1 Introduction 13.2 Data Analysis Examples Chapter Appendices Chapter Notes Statistical Tables Answers to Selected Exercises.
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QH323.5 .S23 2016  Unknown On reserve at Li and Ma Science Library 2hour loan 
QH323.5 .S23 2016  Unknown On reserve at Li and Ma Science Library 2hour loan 
QH323.5 .S23 2016  Unknown On reserve at Li and Ma Science Library 2hour loan 
BIO14101
 Course
 BIO14101  Biostatistics
 Instructor(s)
 Holmes, Susan P