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Statistics (Classical)
Statistics (Classical)
Chapter 1: Data and Problem Solving
1.1
Getting Started
1.2
Level of Measurement
1.3
The Process of a Statistical Study
1.4
The Reality of Conducting a Study
Chapter 2: Graphical Descriptions of Data
2.1
Frequency Distributions
2.2a
Graphical Displays of Data: Pie Charts and Bar Graphs
2.2b
Graphical Displays of Data: Histograms, Polygons, Stem and Leaf Plots
2.3
Analyzing Graphs
Chapter 3: Numerical Descriptions of Data
3.1
Measures of Center
3.2a
Measures of Dispersion
3.2b
Applying the Standard Deviation
3.3
Constructing Samples
3.4
Measures of Relative Position
Chapter 4: Probability, Randomness, and Uncertainty
4.1
Classical Probability
4.2a
Probability Rules: Properties, the Complement, and Addition Rules
4.2b
Probability Rules: Independence, Multiplication Rules, and Conditional Probability
4.3
Counting Rules
4.4
Additional Counting Techniques
Chapter 5: Types of Discrete Random Variables
5.1
Discrete Random Variables
5.2
The Binomial Distribution
5.3
The Poisson Distribution
5.4
The Hypergeometric Distribution
5.5
Games of Chance
Chapter 6: Continuous Random Variables
6.1
Introduction to the Normal Curve
6.2
Reading a Normal Curve Table
6.3
The Normal Distribution
6.4
Find the Value of z
6.5
Find the Value of t
6.6
Name that Distribution
Chapter 7: Samples and Sampling Distributions
7.1
Sampling Distributions Simulation
7.2
Sampling Distributions: Proportions
7.3
Sampling Distributions: Means
7.4
Approximating the Binomial Distribution Using the Normal Distribution
Chapter 8: Estimating Means and Proportions
8.1
Estimating Proportions
8.2
Introduction to Estimating Population Means
8.3
Estimating Means: Sigma Known
8.4
Estimating Means: Sigma Unknown
8.5
Estimating Population Variance
Chapter 9: Hypothesis Testing
9.1a
Fundamentals of Hypothesis Testing and Types of Errors
9.1b
Type II Errors
9.2
Hypothesis Testing Proportions: P Value
9.3
Hypothesis Testing Proportions: z Value
9.4
Hypothesis Testing Means: P Value
9.5
Hypothesis Testing Means: z Value
9.6
Hypothesis Testing Means: t Value
9.7
Direct Mail
9.8
Hypothesis Testing about a Population Variance
9.9
Chi-Square Test for Association
9.10
Chi-Square Test for Goodness of Fit
Chapter 10: Hypothesis Testing (Two Populations)
10.1
Hypothesis Testing - Two Proportions (Large Independent Samples)
10.2
Hypothesis Testing - Two Means (Sigma Known)
10.3
Hypothesis Testing - Two Means (Sigma Unknown)
10.4
Hypothesis Testing - Two Means (Dependent Samples)
10.5
Hypothesis Testing - Two Population Variances
Chapter 11: Regression, Inference, and Model Building
11.1
Scatter Plots and Correlation
11.2
Fitting a Linear Model
11.3
Regression Analysis I
11.4
Multiple Regression
11.5
ANOVA Regression
Chapter 12: The Analysis of Variance (ANOVA)
12.1
ANOVA
Chapter 13: Quality Control Charts
13.1
R-Charts
13.2
p-Charts
13.3
c-Charts
13.4
Mean Charts Using Range
13.5
Mean Charts Using s
Appendix A: Appendix
A.1
Comparing Two Proportions (Large, Independent Samples)
A.2
Comparing Two Means (Large, Independent Samples)
A.3
Comparing Two Means (Small, Independent Samples)
A.4
Comparing Two Means (Dependent Samples)
A.5
Comparing Two Population Variances