Book Sections Chapter 6 Chapter 1 6.1 Normal Distributions Chapter 1 is mainly for reading and 6.2 Applications of the Normal terminology. Distribution 1.1 Descriptive and Inferential 6.3 The Central Limit Theorem Statistics 1.2 Variables and Type of Data Chapter 7 1.3 Data Collection 7.1 Confidence Intervals for the Mean 1.4 Observational and Experimental Standard Deviation Known Studies 7.2 Confidence Intervals for the Mean, 1.5 Uses and Misuses Standard Deviation Unknown 1.6 Computers and Calculators 7.3 Confidence Intervals for Proportions Chapter 2 7.4 Confidence Intervals for Variances 2.1 Organizing Data and Standard Deviation 2.2 Histograms, Frequency Polygons and Ogives Chapter 8 2.3 Other Types of Graphs 8.1 Hypothesis Testing Traditional 2.4 Paired Data and Scatter Plots 8.2 z Test for a Mean 8.3 t Test for a Mean Chapter 3 8.4 z Test for a Proportion 3.1 Measures of Central Tenancy 8.5 Chi-Squared Test for a Variance 3.2 Measures of Variation and Standard Deviation 3.3 Measures of Position 3.4 Exploratory Data Analysis Chapter 10 10.1 Correlation Chapter 4 10.2 Regression 4.1 Sample Spaces and Probability 4.2 The Addition Rules Chapter 11 4.3 The Multiplication Rules 11.1 Test for Goodness of Fit 4.4 Counting Rules 11.2 Tests Using Contingency Tables 4.5 Probability and Counting Rules 11.3 Analysis of Variance (ANOVA) Chapter 5 5.1 Probability Distributions 5.2 Mean, Variance, Standard Deviation and Expectation 5.3 The Binomial Distribution
Book Sections Chapter 1 Chapter 1 is mainly for reading and terminology. 1.1 Descriptive and Inferential Statistics 1.2 Variables and Type of Data 1.3 Data Collection 1.4 Observational and Experimental Studies 1.5 Uses and Misuses 1.6 Computers and Calculators Chapter 2 2.1 Organizing Data 2.2 Histograms, Frequency Polygons and Ogives 2.3 Other Types of Graphs 2.4 Paired Data and Scatter Plots Chapter 3 3.1 Measures of Central Tenancy 3.2 Measures of Variation 3.3 Measures of Position 3.4 Exploratory Data Analysis Chapter 4 4.1 Sample Spaces and Probability 4.2 The Addition Rules 4.3 The Multiplication Rules 4.4 Counting Rules 4.5 Probability and Counting Rules Chapter 5 5.1 Probability Distributions 5.2 Mean, Variance, Standard Deviation and Expectation 5.3 The Binomial Distribution Chapter 6 6.1 Normal Distributions 6.2 Applications of the Normal Distribution 6.3 The Central Limit Theorem Chapter 7 7.1 Confidence Intervals for the Mean Standard Deviation Known 7.2 Confidence Intervals for the Mean, Standard Deviation Unknown 7.3 Confidence Intervals for Proportions 7.4 Confidence Intervals for Variances and Standard Deviation Chapter 8 8.1 Hypothesis Testing Traditional 8.2 z Test for a Mean 8.3 t Test for a Mean 8.4 z Test for a Proportion 8.5 Chi-Squared Test for a Variance and Standard Deviation Chapter 10 10.1 Correlation 10.2 Regression Chapter 11 11.1 Test for Goodness of Fit 11.2 Tests Using Contingency Tables 11.3 Analysis of Variance (ANOVA)