Abstract

This module is intended to facilitate teaching and learning of Statistics courses in colleges and universities at degree level. It is specially tailored for students of science, engineering and technology. This book provides examples and exercises that present important ideas of statistics in a realistic setting to show connections between theory and application in industry and scientific research. The materials in this module also integrate well with computer software packages, especially in the chapters on analysis of variance and regression models. There are six chapters in this module. Chapter 1 covers statistical terminologies and methodologies that are commonly used in practice as well as descriptive statistics and exploratory data analysis. Chapter 2 is on sampling distribution, estimation concepts and confidence interval of the mean, proportion, variance and standard deviation for a data set, paired data set and two data sets. Chapter 3 presents the terms and procedure of hypothesis testing for the parameters that are discussed in Chapter 2. Simulation methods using computer software to test hypotheses and the p-value approach are introduced as well. Chapter 4 discusses some of the commonly used methods of experimental designs that are one-way and two-way analysis of variance which is covered extensively via computer software. Chapter 5 covers linear regression and correlation, for both single and multiple cases. Finally, Chapter 6 discusses the concepts of goodness of fit and contingency tests in dealing with frequency data.

Chapter

Chapter 1 : Introduction To Statistics

Chapter 2 : Sampling Distribution And Confidence Interval

Chapter 3 : Hypothesis Testing

Chapter 4 : Analysis Of Variance (ANOVA)

Chapter 5 : Linear Regression And Correlation

Chapter 6 : Goodness Of Fit And Contingency Table

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