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Chapter 1 Introduction 1£®1 What is statistics 1£®2 Study design and data collection 1£®3 The purpose of this textbook 1£®4 Introduction to some basic terms and notation Chapter 2 Descriptive Statistics 2£®1 Types of data 2£®2 Measures of central tendency 2£®3 Measures of dispersion 2£®4 Tabular and graphical presentation of data Chapter 3 Probability Distributions 3£®1 Definitions and basic ideas related to probability 3£®2 The binomial distribution 3£®3 The Poisson distribution 3£®4 The normal probability distribution Chapter 4 Introduction to Statistical Inference 4£®1 Important definitions and concepts 4£®2 Concepts of hypothesis testing 4£®3 Interval estimation Chapter 5 One Sample Statistical Inference 5£®1 One sample test for the mean of a normal distribution with known variance 5£®2 One sample t test Chapter 6 Two Samples Statistical Inference 6£®1 The paired t test 6£®2 The two samples t test for independent means 6£®3 Testing for the equality of two variances 6£®4 The two sample tests for binomial proportions Chapter 7 Nonparametric Statistics 7£®1 Advantages and disadvantages 7£®2 The Wilcoxon signed-rank test for one sample test of central tendency 7£®3 Wilcoxon signed rank test for paired data 7£®4 Two sample test of central tendency 7£®5 The Kruskal-Wallis test Chapter 8 Chi-square Test 8£®1 Comparison of proportion in independent samples 8£®2 Comparison of proportion in related samples-McNermar's test 8£®3 Chi-square goodness-of-fit test 8£®4 Tests for association in contingency tables-measuring independence 8£®5 Fisher's exact test Chapter 9 Correlation and Regression 9£®1 Simple linear regression 9£®2 Multiple regression 9£®3 Linear correlation Chapter 10 Analysis of Variance Techniques 10£®1 One way analysis of variance 10£®2 ANOVA for randomized block design 10£®3 Factorial designs Chapter 11 Research Designs 11£®1 Sample and sampling techniques 11£®2 Design of experiments 11£®3 Observational study design ¡­¡­ Appendix Tables Table Index Reference