Instant download Solutions Manual to accompany Introductory Statistics 9th edition pdf docx epub after payment.
Product details:
- ISBN-10 : 0321697944
- ISBN-13 : 978-0321697943
- Author: Neil A. Weiss
This edition features the exact same content as the traditional text in a convenient, three-hole- punched, loose-leaf version. Books a la Carte also offer a great value–this format costs significantly less than a new textbook. Weiss offers a comprehensive, traditional approach to introductory statistics, with a heavy emphasis on mathematical reasoning and critical thinking. Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. More than 2,600 exercises involve real data from contemporary sources, which promotes active learning and develops readers’ ability to think critically with statistics. Introductory Statistics, Ninth Edition, contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows both the flexibility
Table Of Contents:
- CHAPTER 1 Introduction
- 1.1 Statistics and Types of Statistics
- Case Study 1–1 2014 Lobbying Spending by Selected Companies
- Case Study 1–2 Americans Life Outlook, 2014
- 1.2 Basic Terms
- 1.3 Types of Variables
- 1.4 Cross-Section Versus Time-Series Data
- 1.5 Population Versus Sample
- 1.6 Design of Experiments
- 1.7 Summation Notation
- Uses and Misuses
- Glossary
- Supplementary Exercises
- Advanced Exercises
- Self-Review Test
- Technology Instructions
- Technology Assignments
- CHAPTER 2 Organizing and Graphing Data
- 2.1 Organizing and Graphing Qualitative Data
- Case Study 2–1 Ideological Composition of the U.S. Public, 2014
- Case Study 2–2 Millennials’ Views on Their Level of Day-to-Day Banking Knowledge
- 2.2 Organizing and Graphing Quantitative Data
- Case Study 2–3 Car Insurance Premiums per Year in 50 States
- Case Study 2–4 Hours Worked in a Typical Week by Full-Time U.S. Workers
- Case Study 2–5 How Many Cups of Coffee Do You Drink a Day?
- 2.3 Stem-and-Leaf Displays
- 2.4 Dotplots
- Uses and Misuses
- Glossary
- Supplementary Exercises
- Advanced Exercises
- Self-Review Test
- Technology Instructions
- Technology Assignments
- CHAPTER 3 Numerical Descriptive Measures
- 3.1 Measures of Center for Ungrouped Data
- Case Study 3–1 2013 Average Starting Salaries for Selected Majors
- Case Study 3–2 Education Level and 2014 Median Weekly Earnings
- 3.2 Measures of Dispersion for Ungrouped Data
- 3.3 Mean, Variance, and Standard Deviation for Grouped Data
- 3.4 Use of Standard Deviation
- Case Study 3–3 Does Spread Mean the Same as Variability and Dispersion?
- 3.5 Measures of Position
- 3.6 Box-and-Whisker Plot
- Uses and Misuses
- Glossary
- Supplementary Exercises
- Advanced Exercises
- Appendix 3.1
- Self-Review Test
- Technology Instructions
- Technology Assignments
- CHAPTER 4 Probability
- 4.1 Experiment, Outcome, and Sample Space
- 4.2 Calculating Probability
- 4.3 Marginal Probability, Conditional Probability, and Related Probability Concepts
- Case Study 4–1 Do You Worry About Your Weight?
- 4.4 Intersection of Events and the Multiplication Rule
- 4.5 Union of Events and the Addition Rule
- 4.6 Counting Rule, Factorials, Combinations, and Permutations
- Case Study 4–2 Probability of Winning a Mega Millions Lottery Jackpot
- Uses and Misuses
- Glossary
- Supplementary Exercises
- Advanced Exercises
- Self-Review Test
- Technology Instructions
- Technology Assignments
- CHAPTER 5 Discrete Random Variables and Their Probability Distributions
- 5.1 Random Variables
- 5.2 Probability Distribution of a Discrete Random Variable
- 5.3 Mean and Standard Deviation of a Discrete Random Variable
- Case Study 5–1 All State Lottery
- 5.4 The Binomial Probability Distribution
- 5.5 The Hypergeometric Probability Distribution
- 5.6 The Poisson Probability Distribution
- Case Study 5–2 Global Birth and Death Rates
- Uses and Misuses
- Glossary
- Supplementary Exercises
- Advanced Exercises
- Self-Review Test
- Technology Instructions
- Technology Assignments
- CHAPTER 6 Continuous Random Variables and the Normal Distribution
- 6.1 Continuous Probability Distribution and the Normal Probability Distribution
- Case Study 6–1 Distribution of Time Taken to Run a Road Race
- 6.2 Standardizing a Normal Distribution
- 6.3 Applications of the Normal Distribution
- 6.4 Determining the z and x Values When an Area Under the Normal Distribution Curve Is Known
- 6.5 The Normal Approximation to the Binomial Distribution
- Uses and Misuses
- Glossary
- Supplementary Exercises
- Advanced Exercises
- Appendix 6.1
- Self-Review Test
- Technology Instructions
- Technology Assignments
- CHAPTER 7 Sampling Distributions
- 7.1 Sampling Distribution, Sampling Error, and Nonsampling Errors
- 7.2 Mean and Standard Deviation of x
- 7.3 Shape of the Sampling Distribution of x
- 7.4 Applications of the Sampling Distribution of x
- 7.5 Population and Sample Proportions; and the Mean, Standard Deviation, and Shape of the Sampling D
- 7.6 Applications of the Sampling Distribution of p
- Uses and Misuses
- Glossary
- Supplementary Exercises
- Advanced Exercises
- Self-Review Test
- Technology Instructions
- Technology Assignments
- CHAPTER 8 Estimation of the Mean and Proportion
- 8.1 Estimation, Point Estimate, and Interval Estimate
- 8.2 Estimation of a Population Mean: σ Known
- Case Study 8–1 Annual Salaries of Registered Nurses, 2014
- 8.3 Estimation of a Population Mean: σ Not Known
- 8.4 Estimation of a Population Proportion: Large Samples
- Case Study 8–2 Americans’ Efforts to Lose Weight Still Trail Desires
- Uses and Misuses
- Glossary
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