Statistics : a first course / Donald H. Sanders, Elizabeth Farber

Contents
1. Let's get started
What to expect
Purpose of organization of the text
Need for statistics
Statistical problem-solving methodology
Roles of computer in statistics

2. Liars $% Liars and a few statisticians
Unfavorable options and bias obstacle
Aggravated averages
The persuasive Artist
The post Hoc Ergo propter Hoc Trap
Antics with semantics and trends
Follow the bouncing base (If you can)

3. Descriptive statistics
Introduction to data collection
Data organization and Frequency distribution
Graphic presentations of Frequency distribution

Computing measures of dispersion
Summarizing qualitative data

4. Probability concepts
Some basic considerations
Probabilities for compound events
Random variables, probability distributions and expected value

5. Probability Distribution
Binomial Experiments
Determining Binomial probabilities
The poisson distribution
The Normal distribution

6. Sample concepts
Sampling: The need and the advantages
Sampling distribution of means - A pattern of behavior
Sampling distribution of percentages

7. Estimating parameters
Estimate, Estimation, Estimator etc
Interval estimation of population mean: Some basic concepts
Estimating the population mean
Estimating the population percentage
Estimating the population variation
etc.

8. Testing Hypotheses: One-Sample procedures
The Hypothesis-testing procedure in general
One sample Hypothesis-tests percentage
One sample Hypothesis-tests Variance and standard deviation

9. Testing Hypotheses: Two variances procedures
Hypothesis tests of two variances
Hypothesis tests of two means
Hypothesis tests of two variances and Standard deviation

10. Quality control concepts: Historical perspective
An introduction to control charts
An introduction to X and R Charts
P-Chart for qualitative data

Includes bibliographical references and index.