Statistics for the Health Sciences
Edition: 2
Copyright: 2021
Pages: 436
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$132.30 USD
Statistics for Health Studies provides a practical introduction to statistical methods used in the health sciences, equipping students with the skills to collect, analyze, and interpret data for evidence-based decision-making. Beginning with the fundamentals of data collection and descriptive statistics, the text progresses through probability, confidence intervals, hypothesis testing, nonparametric methods, and correlation and regression. Emphasizing real-world applications in healthcare and public health, the book helps students develop the statistical knowledge and analytical skills needed to evaluate research, interpret clinical findings, and apply quantitative methods in professional practice.
History and Types of Data
Section 1.2 Levels of Data Measurement and The Fundamentals of Sampling
CHAPTER 2 – Descriptive Statistics
Section 2.1 Properties of Frequency Distributions
Section 2.2 Graphical Descriptive Statistics
Section 2.3 Measures of Central Tendency
Section 2.4 Measures of Variability
Section 2.5 Measures of Relative Standing and Exploratory Data Analysis
CHAPTER 3 – Fundamentals of Probability
Section 3.1 Introduction to Probability; the Addition and Multiplication Rules
Section 3.2 Absolute and Relative Risk; Odds Computation
Section 3.3 The Binomial Distribution
Section 3.4 The Normal Distribution
Section 3.5 The Central Limit Theorem and Sampling Distributions
CHAPTER 4 – Estimation and Sample Size Determination
Section 4.1 Confidence Intervals for the Population Proportion
Section 4.2 Confidence Intervals for the Population Mean
Section 4.3 Confidence Intervals for the Population Standard Deviation
CHAPTER 5 – Hypothesis Testing
Section 5.1 Hypothesis Test for a Population Proportion
Section 5.2 Hypothesis Test for a Proportion – Two Samples
Section 5.3 Hypothesis Test of the Mean – Two Independent Samples
Section 5.4 Hypothesis Test of the Mean – Two Dependent Samples
Section 5.5 Analysis of Variance
Section 5.6 Chi-Square Test for Independence and Fisher’s Exact Test
CHAPTER 6 – NonParametric Statistics
Section 6.1 McNemar’s Test
Section 6.2 Wilcoxon Signed Ranks Test
Section 6.3 Mann-Whitney U-Test
Section 6.4 Kruskal-Wallis Test
CHAPTER 7 – Correlation and Regression
Section 7.1 Correlation and Linear Significance