Introduction

The web-based instruction is designed for a statistical method course, introducing the interactive approach for students to learn a nature of statistical investigation in an intelligible way. Through the interactive content we develop the underlying statistical concepts: nature of statistical studies and data preparation, data exploration and description, probability distributions, point estimates and confidence intervals, and the Neyman-Pearson framework of hypothesis testing. This permits us to unify various methodologies in data analysis: graphical and numerical techniques of data description, inference of mean, comparison of two population, and inference on variance.

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Title	Summary of presentation	Webcast
Introduction	Introduce e-Statistics
Data in statistical studies	Learn how to use data in e-statistics
Preparing histogram from data	Learn how to prepare the histogram from data
Characterizing histogram	Learn how to describe the shape of histogram
Stem and leaf plot	Learn about stem and leaf plot
Measures of center	Learn the measures of center, mean and median, and discuss their properties
Measures of variability	Learn the measure of variability, standard deviation, and coefficient of variation, and discuss empirical rules
Quartiles and boxplot	Introduce another measure of variability, quartles, interquartile range, and learn how to use a boxplot as a schematic presentation of data
Grouped data	Learn how to explore the grouped data graphically in boxplot and numerically in summary statistics
Frequency Function	Learn random variable, frequency function, and the concept of probability distribution
Binomial Distribution	Learn about binomial experiment and binomial distribution
Normal Density Function	Learn the concept of probability distribution and normal density function
Normal Distribution and Critical Point	Learn how to calculate the probability from the normal density function, discuss the empirical rules, and introduce the concept of critical point
Z-score	Explain the idea of z-socre, and learn how to use it
Central Limit Theorem	Explore the idea of central limit theorem and its effect
Estimating the population mean	Introducing the estimation of mean and the confidence interval of mean.