TABLE OF CONTENTS
Chapter 3
USING NUMBERS TO DESCRIBE DATA
Introduction: The Qualifying Exam for Registered Nurses
3.1
3.2
3.3
3.4
3.5
Chapter 4
Measures of Central Tendency
Measures of Variability
Measures of Relative Standing
Using Numerical Measures to Describe Data Sets
Using Numbers to Make Inferences
PROBABILITY: A MEASURE OF RELIABILITY
Introduction: The Meissen Monkey Band Case
4.1
4.2
4.4
4.5
Experiments and Sample Spaces
Events and Probability
Compound Events and Complements
Conditional Probability and Independence
-- Chapter Summary
Chapter 5
INTRODUCTION TO SAMPLING DISTRIBUTIONS
Introduction: The Blind Taste Test
5.1 Statistics and Sampling Distributions
5.2 The Mean of a Sampling Distribution
5.3 The Variability of a Sampling Distribution
5.4 The Binomial Experiment
Chapter 6
THE CENTRAL LIMIT THEOREM AND
THE NORMAL DISTRIBUTION
Introduction: Average Lifetime of Light Bulbs
6.1 The Central Limit Theorem
6.2 Calculating Probabilities for the Sample Mean
Chapter 7
INFERENCES ABOUT ONE POPULATION
Introduction: A Gallup Report
7.1 The Elements of a Test of a Hypothesis
7.2 A Large-Sample Test of Hypothesis About a Population Mean, μ
7.4 A Large-Sample Confidence Interval for a Population Mean, μ
7.5 Small-Sample Inferences About a Population Mean, μ
7.6 Large-Sample Inferences About a Population Proportion, π
7.7 Selecting the Sample Size
7.8 Inferences About a Population Variance, σ2
-- Chapter Summary
Chapter 8
INFERENCES COMPARING TWO POPULATIONS
Introduction: Comparing City Living and Country
Living
8.1 Independent and Dependent
Samples
8.2 Large-Sample Inferences About μ1 – μ2, the Difference
Between Two Population Means: Independent Samples
8.3 Small-Sample Inferences About μ1 – μ2, the Difference
Between Two Population Means: Independent Samples
8.4 Inferences About μ1 – μ2, the Difference Between Two
Population Means: Dependent Samples
8.5 Large-Sample Inferences About π1 – π2, the Difference
Between Two Population Proportions: Independent Samples
8.6 Selecting the Sample
Sizes
8.7 Comparing Two Population Variances σ12 and σ22:
Independent Samples
-- Chapter Summary
Chapt
er 9
LEAST SQUARES:
A STRAIGHT-LINE
RELATIONSHIP
Introduction: Analyzing Crime Rates
9.1 Exploratory Data Analysis: The Scatterplot
The Equation of a Straight Line
Fitting the Model: The Method of Least Squares
TABLES
Table II – The Normal Distribution
Table III – z-values for Rejection Regions for Large-Sample Hypothesis Tests
Table IV – z- values for Large-Sample Confidence Intervals
Table V – t-values for Rejection Regions for Small-Sample Hypothesis Tests
Table VI – t-values for Confidence Intervals
Table VII A. – χ2 – values for Rejection Regions : One-Tailed Tests
Table VII B. - χ2 - values for Rejection Regions : Two-Tailed Tests
Table VIII - χ2 – values for Confidence Intervals
Table IX – Percentage Points of the F-Distribution: α = .10
Table X – Percentage Points of the F-Distribution: α = .05
Table XI – Percentage Points of the F-Distribution: α = .025
Table XII – Percentage Points of the F-Distribution: α = .01
Answers To Selected Exercises
Appendix – Counting Methods
Binomial Distribution Worked Examples