Adapted By Darlene Young Introductory Statistics

Darlene Young

Book Title: Adapted By Darlene Young Introductory Statistics

Subtitle: Adapted from OpenStax by Darlene Young

Author: Darlene Young

Cover image for Adapted By Darlene Young Introductory Statistics

Book Description: Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.

Creative Commons Attribution

Read Book

Module 1: Sampling and Data
1. Introduction: Sampling and Data
  Barbara Illowsky & OpenStax et al.
2. Definitions of Statistics, Probability, and Key Terms
  Barbara Illowsky & OpenStax et al.
3. Sampling and Data
  Barbara Illowsky & OpenStax et al.
4. Frequency, Frequency Tables, and Levels of Measurement
  Barbara Illowsky & OpenStax et al.
5. Experimental Design and Ethics
  Barbara Illowsky & OpenStax et al.
6. Section Exercises
  Barbara Illowsky & OpenStax et al.
7. Answers to Selected Exercises
  Barbara Illowsky & OpenStax et al.
8. About This Course
  Barbara Illowsky & OpenStax et al.
9. Course Contents at a Glance
  Barbara Illowsky & OpenStax et al.
Module 2: Descriptive Statistics
1. Introduction: Descriptive Statistics
  Barbara Illowsky & OpenStax et al.
2. Stem-and-Leaf Graphs (Stemplots)
  Barbara Illowsky & OpenStax et al.
3. Measures of the Location of the Data
  Barbara Illowsky & OpenStax et al.
4. Histograms, Frequency Polygons, and Time Series Graphs
  Barbara Illowsky & OpenStax et al.
5. Box Plots
  Barbara Illowsky & OpenStax et al.
6. Measures of the Center of the Data
  Barbara Illowsky & OpenStax et al.
7. Skewness and the Mean, Median, and Mode
  Barbara Illowsky & OpenStax et al.
8. Measures of the Spread of Data
  Barbara Illowsky & OpenStax et al.
9. When to use each measure of Central Tendency
  Barbara Illowsky & OpenStax et al.
10. Section Exercises
  Barbara Illowsky & OpenStax et al.
Module 3: Probability
1. Introduction: Probability Topics
  Barbara Illowsky & OpenStax et al.
2. The Terminology of Probability
  Barbara Illowsky & OpenStax et al.
3. Independent and Mutually Exclusive Events
  Barbara Illowsky & OpenStax et al.
4. Two Basic Rules of Probability
  Barbara Illowsky & OpenStax et al.
5. Contingency Tables
  Barbara Illowsky & OpenStax et al.
6. Tree and Venn Diagrams
  Barbara Illowsky & OpenStax et al.
7. Section Exercises
  Barbara Illowsky & OpenStax et al.
Module 4: Discrete Random Variables
1. Introduction: Discrete Random Variables
  Barbara Illowsky & OpenStax et al.
2. Probability Distribution Function (PDF) for a Discrete Random Variable
  Barbara Illowsky & OpenStax et al.
3. Mean or Expected Value and Standard Deviation
  Barbara Illowsky & OpenStax et al.
4. Binomial Distribution
  Barbara Illowsky & OpenStax et al.
5. Geometric Distribution
  Barbara Illowsky & OpenStax et al.
6. Poisson Distribution
  Barbara Illowsky & OpenStax et al.
7. Section Exercises
  Barbara Illowsky & OpenStax et al.
Module 5: Continuous Random Variables
1. Introduction: Continuous Random Variables
  Barbara Illowsky & OpenStax et al.
2. Continuous Probability Functions
  Barbara Illowsky & OpenStax et al.
3. The Uniform Distribution
  Barbara Illowsky & OpenStax et al.
4. The Exponential Distribution
  Barbara Illowsky & OpenStax et al.
5. Section Exercises
  Barbara Illowsky & OpenStax et al.
Module 6: Normal Distribution
1. Introduction to the Normal Distribution
  Barbara Illowsky & OpenStax et al.
2. The Standard Normal Distribution
  Barbara Illowsky & OpenStax et al.
3. Using the Normal Distribution
  Barbara Illowsky & OpenStax et al.
4. Section Exercises
  Barbara Illowsky & OpenStax et al.
Module 7: The Central Limit Theorem
1. Introduction: The Central Limit Theorem
  Barbara Illowsky & OpenStax et al.
2. The Central Limit Theorem for Sample Means (Averages)
  Barbara Illowsky & OpenStax et al.
3. The Central Limit Theorem for Sums
  Barbara Illowsky & OpenStax et al.
4. Using the Central Limit Theorem
  Barbara Illowsky & OpenStax et al.
5. Section Exercises
  Barbara Illowsky & OpenStax et al.
Module 8: Confidence Intervals
1. Introduction: Confidence Intervals
  Barbara Illowsky & OpenStax et al.
2. A Single Population Mean using the Normal Distribution
  Barbara Illowsky & OpenStax et al.
3. A Single Population Mean using the Student t Distribution
  Barbara Illowsky & OpenStax et al.
4. A Population Proportion
  Barbara Illowsky & OpenStax et al.
5. Section Exercises
  Barbara Illowsky & OpenStax et al.
Module 9: Hypothesis Testing With One Sample
1. Introduction: Hypothesis Testing with One Sample
  Barbara Illowsky & OpenStax et al.
2. Null and Alternative Hypotheses
  Barbara Illowsky & OpenStax et al.
3. Outcomes and the Type I and Type II Errors
  Barbara Illowsky & OpenStax et al.
4. Distribution Needed for Hypothesis Testing
  Barbara Illowsky & OpenStax et al.
5. Section Exercises
  Barbara Illowsky & OpenStax et al.
Module 10: Hypothesis Testing With Two Samples
1. Introduction: Hypothesis Testing with Two Samples
  Barbara Illowsky & OpenStax et al.
2. Two Population Means with Unknown Standard Deviations
  Barbara Illowsky & OpenStax et al.
3. Two Population Means with Known Standard Deviations
  Barbara Illowsky & OpenStax et al.
4. Comparing Two Independent Population Proportions
  Barbara Illowsky & OpenStax et al.
5. Matched or Paired Samples
  Barbara Illowsky & OpenStax et al.
6. Section Exercises
  Barbara Illowsky & OpenStax et al.
Module 11: The Chi Square Distribution
1. Introduction: The Chi-Square Distribution
  Barbara Illowsky & OpenStax et al.
2. Facts About the Chi-Square Distribution
  Barbara Illowsky & OpenStax et al.
3. Goodness-of-Fit Test
  Barbara Illowsky & OpenStax et al.
4. Test of Independence
  Barbara Illowsky & OpenStax et al.
5. Test for Homogeneity
  Barbara Illowsky & OpenStax et al.
6. Comparison of the Chi-Square Tests
  Barbara Illowsky & OpenStax et al.
7. Test of a Single Variance
  Barbara Illowsky & OpenStax et al.
8. Section Exercises
  Barbara Illowsky & OpenStax et al.
Module 12: Linear Regression and Correlation
1. Introduction: Linear Regression and Correlation
  Barbara Illowsky & OpenStax et al.
2. Linear Equations
  Barbara Illowsky & OpenStax et al.
3. Scatter Plots
  Barbara Illowsky & OpenStax et al.
4. The Regression Equation
  Barbara Illowsky & OpenStax et al.
5. Testing the Significance of the Correlation Coefficient
  Barbara Illowsky & OpenStax et al.
6. Prediction
  Barbara Illowsky & OpenStax et al.
7. Outliers
  Barbara Illowsky & OpenStax et al.
8. Section Exercises
  Barbara Illowsky & OpenStax et al.
Module 13: F-Distribution and One-Way ANOVA
1. Introduction: F Distribution and One-Way ANOVA
  Barbara Illowsky & OpenStax et al.
2. One-Way ANOVA
  Barbara Illowsky & OpenStax et al.
3. The F Distribution and the F-Ratio
  Barbara Illowsky & OpenStax et al.
4. Facts about the F Distribution
  Barbara Illowsky & OpenStax et al.
5. Test of Two Variances
  Barbara Illowsky & OpenStax et al.
6. Relationships in an ANOVA Table
  Barbara Illowsky & OpenStax et al.
7. Section Exercises
  Barbara Illowsky & OpenStax et al.
Module 14: Multiple and Logistic Regression
1. Introduction: Multiple and Logistic Regression
  Barbara Illowsky & OpenStax et al.
2. Model Selection
  Barbara Illowsky & OpenStax et al.
3. Checking Model Assumptions Using Graphs
  Barbara Illowsky & OpenStax et al.
4. Introduction to Logistic Regression
  Barbara Illowsky & OpenStax et al.
5. Exercises
  Barbara Illowsky & OpenStax et al.
Appendices
1. Appendix A: Review Exercises (Ch 3-13)
  Barbara Illowsky & OpenStax et al.
2. Appendix A-1: Solutions to Review Exercises (Ch 3-13)
  Barbara Illowsky & OpenStax et al.
3. Appendix B: Practice Tests (1-4) and Final Exams
  Barbara Illowsky & OpenStax et al.
4. Appendix C: Data Sets
  Barbara Illowsky & OpenStax et al.
5. Appendix D: Group and Partner Projects
  Barbara Illowsky & OpenStax et al.
6. Appendix E: Solution Sheets
  Barbara Illowsky & OpenStax et al.
7. Appendix F: Mathematical Phrases, Symbols, and Formulas
  Barbara Illowsky & OpenStax et al.
8. Appendix G: Notes for the TI-83, 83+, 84, 84+ Calculators
  Barbara Illowsky & OpenStax et al.
9. Appendix H: Tables
  Barbara Illowsky & OpenStax et al.

Book Information

Book Description

Senior Contributing Authors

Barbara Illowsky, De Anza College

Susan Dean, De Anza College

Author

Darlene Young

License

Icon for the Creative Commons Attribution 4.0 International License

Adapted By Darlene Young Introductory Statistics Copyright © 2018 by © 1999-2018, Rice University. Except where otherwise noted, content created on this site is licensed under a Creative Commons Attribution 4.0 License. is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.

Metadata

Title: Adapted By Darlene Young Introductory Statistics
Author: Darlene Young
License: Adapted By Darlene Young Introductory Statistics Copyright © 2018 by © 1999-2018, Rice University. Except where otherwise noted, content created on this site is licensed under a Creative Commons Attribution 4.0 License. is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.
This user agreement (this “Agreement”) from the OpenStax CNX Project describes the terms and conditions on which you may use the OpenStax CNX educational service (the “Service”) and the OpenStax CNX content repository (the “Repository”). If you do not accept and agree to be bound by the terms and conditions of this Agreement, you may not access or use the Service or the content of the Repository.
Your access or use of the Service or the content of the Repository constitutes your acceptance of and agreement to be bound by the terms and conditions of this Agreement, including, but not limited to, any policies and procedures incorporated by reference. In addition, your use of any particular part of the Service or the Repository shall be subject to such additional terms and conditions as may be posted from time to time.
The OpenStax CNX Project may amend this Agreement at any time by posting the amended terms on the website, and such amended terms shall become effective 30 days after being initially posted to the website. This Agreement may not otherwise be amended except in writing signed by you and an authorized representative of the OpenStax CNX Project.
Each individual work in the Repository is offered for license to you by the author of that work on the terms and conditions set forth in the specific open content license associated with that individual work. You are required under U.S. copyright law, the equivalent laws of other countries, and international treaties to respect the copyrights of those authors and to use their works subject to the terms and conditions of their respective licenses and applicable law. You may only copy, modify, distribute and otherwise use the works in the Repository in accordance with a license to do so or as may otherwise be permitted under applicable law.
Neither the OpenStax CNX Project nor Rice University undertakes any obligation to review or monitor any content submitted to the Repository and shall not have any responsibility or liability in connection therewith. The OpenStax CNX Project and Rice University may remove content if it is deemed appropriate to do so by the OpenStax CNX Project or Rice University, in their sole discretion, including, but not limited to, to comply with law or legal process, to respond to third party complaints, to enforce the terms and conditions of use, or to protect the OpenStax CNX Project or Rice University.
THE SERVICE AND THE CONTENT OF THE REPOSITORY ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT ANY REPRESENTATIONS OR WARRANTIES OF ANY KIND, EXPRESS, IMPLIED OR STATUTORY, INCLUDING, BUT NOT LIMITED TO, REPRESENTATIONS AND WARRANTIES OF ACCURACY, COMPLETENESS, NON-INFRINGEMENT, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. YOUR USE OF THE SERVICE AND THE CONTENT OF THE REPOSITORY ARE ENTIRELY AT YOUR OWN RISK.
UNDER NO CIRCUMSTANCES AND UNDER NO LEGAL THEORY, WHETHER IN TORT (INCLUDING NEGLIGENCE), CONTRACT, OR OTHERWISE, SHALL THE OPENSTAX CNX PROJECT OR RICE UNIVERSITY, OR ITS TRUSTEES, OFFICERS, EMPLOYEES AND REPRESENTATIVES, BE LIABLE TO YOU OR TO ANY THIRD PARTY FOR ANY DIRECT, INDIRECT, INCIDENTAL, CONSEQUENTIAL, SPECIAL, EXEMPLARY OR PUNITIVE DAMAGES OF ANY KIND DIRECTLY OR INDIRECTLY ARISING OUT OF OR IN CONNECTION WITH THE OPERATION, MAINTENANCE, ACCESS OR USE OF THE SERVICE OR THE CONTENT OF THE REPOSITORY. This paragraph shall survive any expiration or termination of this Agreement.
The OpenStax CNX Project and Rice University reserve the right at any time and from time to time, in their sole discretion, to modify or discontinue, temporarily or permanently, the Service and the Repository with or without notice. The OpenStax CNX Project and Rice University, and its trustees, officers, employees and representatives, shall not have any responsibility or liability to you or to any third party in the event of any such modification, suspension or discontinuance of the Service or the Repository.
This Agreement shall be interpreted and enforced under the laws of the United States and the State of Texas, without giving effect to its conflicts or choice of law principles. You are responsible and liable for complying with all applicable laws in connection with your access or use of the Service or the content of the Repository. In the event a dispute arises related to this Agreement or your access or use of the Service or the Repository, you agree to submit to the jurisdiction of the courts located in Harris County, Texas.
If you would like to create your own content and submit it to the Repository for access and use by others, you must complete a registration form and obtain a personal account and password from the OpenStax CNX Project. You are responsible and liable for maintaining the confidentiality of your password and account, and are responsible and liable for all activities that occur under your account through the use of your password.
If you create content for submission to the Repository, you must offer it for license to others with one or more of the specific licenses approved for use by the OpenStax CNX Project. A list of the licenses approved for use will be displayed when you submit your materials to the Repository.
IF YOU BECOME A REGISTERED USER OF THE OPENSTAX CNX PROJECT, YOU AGREE TO INDEMNIFY, DEFEND AND HOLD HARMLESS THE OPENSTAX CNX PROJECT AND RICE UNIVERSITY, AND ITS TRUSTEES, OFFICERS, EMPLOYEES AND REPRESENTATIVES, FROM ANY AND ALL DEMANDS, CLAIMS, ACTIONS, DAMAGES, LOSSES, LIABILITIES, COSTS AND EXPENSES, INCLUDING ATTORNEYS’ FEES AND COURT COSTS, DIRECTLY OR INDIRECTLY ARISING OUT OF OR IN CONNECTION WITH YOUR ACCESS OR USE OF THE SERVICE OR THE CONTENT OF THE REPOSITORY, YOUR SUBMISSION OF ANY CONTENT TO THE REPOSITORY, OR YOUR VIOLATION OF ANY OF THE TERMS OR CONDITIONS OF THIS AGREEMENT. This paragraph shall survive any expiration or termination of this Agreement.
Publication Date: May 13, 2018