ISBN-10:
1259345297
ISBN-13:
2901259345295
Pub. Date:
01/15/2015
Publisher:
McGraw-Hill Education
Elementary Statistics with Formula Card / Edition 2

Elementary Statistics with Formula Card / Edition 2

by Barry Monk
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  • Product Details

    ISBN-13: 2901259345295
    Publisher: McGraw-Hill Education
    Publication date: 01/15/2015
    Edition description: Older Edition
    Product dimensions: 6.00(w) x 1.25(h) x 9.00(d)

    About the Author

    Degrees: Bachelor of science in applied mathematics, University of Alabama; master of arts in mathematics, University of Alabama; and doctorate in applied mathematics, University of Alabama.
    Year he joined the Macon State faculty: 2001.
    Some of his professional career highlights are … “Being asked to serve as the program coordinator of mathematics after only two years at Macon State College, heading up the development of the bachelor’s degree in mathematics at Macon State, leading the organization of the Southeastern Scholarship Conference on E-Learning hosted by Macon State each year since 2005, maintaining high student evaluations and developing numerous online mathematics courses with my colleagues Mary Wolfe, Steve Davis and Wanda Eanes.”
    He enjoys teaching at Macon State because … “I am surrounded by a great group of people – both students and faculty.”
    His favorite course to teach is… “Calculus, because there are so many interesting applications that can be covered. Also, this is the course where students really start to see how the different areas of mathematics come together.”
    One thing people don’t know about Macon State is … “How dedicated the faculty are to the success of students.”
    One thing people don’t know about him is … “I worked my way through college playing jazz piano in a bar.”
    In his spare time he likes to … “Read, compose music, bowl, play with my six cats and go shopping. I also like to travel a lot.”
    The one person he’d most like to meet is … “The Amazing James Randi, because of his tireless work promoting science, freethinking and critical reasoning skills.”
    If he wasn’t a college professor he would be . . . “Who knows? Maybe a blackjack dealer at a high-stakes table in Las Vegas.”
    William Navidi is Professor of Mathematical and Computer Sciences at the Colorado School of Mines. He received the B.A. degree in mathematics from New College, the M.A. in mathematics from Michigan State University, and the Ph.D. in statistics from the University of California at Berkeley. Professor Navidi has authored more than 50 research papers both in statistical theory and in a wide variety of applications including computer networks, epidemiology, molecular biology, chemical engineering, and geophysics.

    Table of Contents

    Table of Contents—Elementary Statistics, Second Edition
    Chapter 1: Basic Ideas
    1.1 Sampling
    1.2 Types of Data
    1.3 Design of Experiments
    1.4 Bias in Study
    Chapter 1 Summary
    Chapter Quiz
    Chapter 1 Review Exercises
    Case Study
    Chapter 2: Graphical Summaries of Data
    2.1 Graphical Summaries for Qualitative Data
    2.2 Frequency Distributions and Their Graphs
    2.3 More Graphs for Quantitative Data
    2.4 Graphs Can Be Misleading
    Chapter 2 Summary
    Chapter Quiz
    Chapter 2 Review Exercises
    Case Study
    Chapter 3: Numerical Summaries of Data
    3.1 Measures of Center Data
    3.2 Measures of Spread
    3.3 Measures of Position
    Chapter 3 Summary
    Chapter Quiz
    Chapter 3 Review Exercises
    Case Study
    Chapter 4: Summarizing Bivariate Data
    4.1 Correlation
    4.2 The Least-Squares Regression Line
    4.3 Features and Limitations of the Least-Squares Regression Line
    Chapter 4 Summary
    Chapter Quiz
    Chapter 4 Review Exercises
    Case Study
    Chapter 5: Probability
    5.1 Basic Ideas
    5.2 The Addition Rule and the Rule of Compliments
    5.3 Conditional Probability and the Multiplication Rule
    5.4 Counting
    Chapter 5 Summary
    Chapter Quiz
    Chapter 5 Review Exercises
    Case Study
    Chapter 6: Discrete Probability Distributions
    6.1 Random Variables
    6.2 The Binomial Distribution
    6.3 The Poisson Distribution
    Chapter 6 Summary
    Chapter Quiz
    Chapter 6 Review Exercises
    Case Study
    Chapter 7: The Normal Distribution
    7.1 The Standard Normal Curve
    7.2 Applications of the Normal Distribution
    7.3 Sampling Distributions and the Central Limit Theorem
    7.4 The Central Limit Theorem for Proportions
    7.5 The Normal Approximation to the Binomial Distribution
    7.6 Assessing Normality
    Chapter 7 Summary
    Chapter Quiz
    Chapter 7 Review Exercises
    Case Study
    Chapter 8: Confidence Intervals
    8.1 Confidence Intervals for a Population Mean, Standard Deviation Known
    8.2 Confidence Intervals for a Population Mean, Standard Deviation Unknown
    8.3 Confidence Intervals for a Population Proportion
    8.4 The Central Limit Theorem for Proportions
    8.5 Determining Which Method to Use
    Chapter 8 Summary
    Chapter Quiz
    Chapter 8 Review Exercises
    Case Study
    Chapter 9: Hypothesis Testing
    9.1 Basic Principles of Hypothesis Testing
    9.2 Hypothesis Tests for a Population Mean, Standard Deviation Known
    9.3 Hypothesis Tests for a Population Mean, Standard Deviation Unknown
    9.4 Hypothesis Tests for Proportions
    9.5 Hypothesis Tests for a Standard Deviation
    9.6 Determining Which Method to Use
    9.7 Power
    Chapter 9 Summary
    Chapter Quiz
    Chapter 9 Review Exercises
    Case Study
    Chapter 10: Two-Sample Confidence Intervals
    10.1 Confidence Intervals for the Difference Between Two Means: Independent Samples
    10.2 Confidence Intervals for the Difference Between Two Proportions
    10.3 Confidence Intervals for the Difference Between Two Means: Paired Samples
    Chapter 10 Summary
    Chapter Quiz
    Chapter 10 Review Exercises
    Case Study
    Chapter 11: Two-Sample Hypothesis Tests
    11.1 Hypothesis Tests for the Difference Between Two Means: Independent Samples
    11.2 Hypothesis Tests for the Difference Between Two Proportions
    11.3 Hypothesis Tests for the Difference Between Two Means: Paired Samples
    11.4 Hypothesis Tests for Two Population Standard Deviations
    11.5 The Multiple Testing Problem
    Chapter 11 Summary
    Chapter Quiz
    Chapter 11 Review Exercises
    Case Study
    Chapter 12: Tests with Qualitative Data
    12.1 Testing Goodness-of-Fit
    12.2 Tests for Independence and Homogeneity
    Chapter 12 Summary
    Chapter Quiz
    Chapter 12 Review Exercises
    Case Study
    Chapter 13: Inference in Linear Models
    13.1 Inference on the Slope of the Regression Line
    13.2 Inference About the Response
    13.3 Multiple Regression
    Chapter 13 Summary
    Chapter Quiz
    Chapter 13 Review Exercises
    Case Study
    Chapter 14: Analysis of Variance
    14.1 One-way Analysis of Variance
    14.2 Two-way Analysis of Variance
    Chapter 14 Summary
    Chapter Quiz
    Chapter 14 Review Exercises
    Case Study
    Chapter 15: Nonparametric Statistics
    15.1 The Sign Test
    15.2 The Rank-Sum Test
    15.3 The Signed-Rank Test
    Chapter 15 Summary
    Chapter Quiz
    Chapter 15 Review Exercises
    Case Study

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