Identify the variables in the dataset Classify each variable as qualitative or quantitative discrete or quantitativ
Instructions
In this assignment, you will be required to use the Heart Rate Dataset to complete the following:
- Identify the variables in the dataset
- Classify each variable as qualitative or quantitative discrete or quantitative continuous
- Specify the possible values of each variable
- Give a brief written description of what each variable tells us about the data provided.
Steps
- Open the Heart Rate Dataset in Excel
- There are 3 columns of data. Each column represents a different variable. What are the 3 variables represented in the dataset?
- Identify each of the 3 variables as qualitative, quantitative discrete, or quantitative continuous
- Identify the possible values of each of the 3 variables in this dataset.
- Briefly describe what information each of the 3 variables tells us about the data
Additional Instructions:
Your assignment should be typed into a Word or other word processing document, formatted in APA style. The assignments must include
- Running head
- A title page with
- Assignment name
- Your name
- Professor’s name
- Course
Heart rate
| Heart rate before and after exercise | |||
| M=0 F=1 | Resting | After Exercise | |
| 0 | 55.0 | 65.0 | |
| 0 | 67.7 | 79.4 | |
| 0 | 80.3 | 93.4 | |
| 0 | 85.2 | 97.7 | |
| 0 | 86.3 | 99.7 | |
| 0 | 76.6 | 83.7 | |
| 0 | 94.4 | 101.9 | |
| 0 | 86.4 | 100.6 | |
| 0 | 83.4 | 97.4 | |
| 0 | 89.8 | 97.4 | |
| 0 | 88.7 | 97.1 | |
| 0 | 78.4 | 87.2 | |
| 0 | 67.0 | 79.9 | |
| 0 | 85.0 | 100.0 | |
| 0 | 86.2 | 95.9 | |
| 0 | 83.9 | 93.9 | |
| 0 | 78.1 | 87.2 | |
| 0 | 64.0 | 70.7 | |
| 0 | 72.8 | 86.7 | |
| 0 | 65.0 | 75.0 | |
| 0 | 80.2 | 83.3 | |
| 0 | 78.2 | 86.0 | |
| 0 | 62.0 | 88.0 | |
| 0 | 75.5 | 84.4 | |
| 0 | 82.7 | 89.1 | |
| 0 | 87.7 | 95.1 | |
| 0 | 76.0 | 88.7 | |
| 0 | 73.4 | 82.7 | |
| 0 | 80.1 | 94.6 | |
| 0 | 77.6 | 84.6 | |
| 0 | 76.6 | 86.4 | |
| 0 | 85.6 | 96.2 | |
| 0 | 74.2 | 82.1 | |
| 0 | 79.0 | 91.6 | |
| 0 | 74.6 | 86.7 | |
| 0 | 88.8 | 98.8 | |
| 0 | 82.1 | 85.6 | |
| 0 | 77.6 | 80.6 | |
| 0 | 77.9 | 83.8 | |
| 0 | 72.0 | 93.9 | |
| 0 | 81.6 | 90.3 | |
| 0 | 91.2 | 100.6 | |
| 0 | 80.3 | 88.0 | |
| 0 | 76.7 | 91.8 | |
| 0 | 88.4 | 103.0 | |
| 0 | 75.2 | 86.5 | |
| 0 | 75.2 | 84.9 | |
| 0 | 73.1 | 71.9 | |
| 0 | 77.0 | 84.7 | |
| 0 | 59.0 | 68.2 | |
| 0 | 84.9 | 96.0 | |
| 0 | 87.5 | 105.9 | |
| 0 | 75.6 | 84.3 | |
| 0 | 84.0 | 90.4 | |
| 0 | 78.2 | 94.0 | |
| 0 | 86.6 | 90.6 | |
| 0 | 84.9 | 95.1 | |
| 0 | 78.8 | 90.4 | |
| 0 | 69.4 | 82.6 | |
| 0 | 78.3 | 91.1 | |
| 0 | 76.9 | 92.3 | |
| 0 | 84.2 | 87.9 | |
| 0 | 76.3 | 85.9 | |
| 0 | 86.3 | 99.7 | |
| 0 | 72.3 | 80.9 | |
| 0 | 81.8 | 93.8 | |
| 0 | 92.8 | 99.8 | |
| 0 | 74.8 | 90.2 | |
| 0 | 91.7 | 99.2 | |
| 0 | 71.0 | 87.0 | |
| 0 | 96.1 | 100.2 | |
| 0 | 82.5 | 95.1 | |
| 0 | 81.9 | 97.5 | |
| 0 | 89.7 | 94.8 | |
| 0 | 81.4 | 100.9 | |
| 0 | 74.8 | 94.0 | |
| 0 | 88.1 | 102.1 | |
| 0 | 69.2 | 81.4 | |
| 0 | 78.8 | 90.9 | |
| 0 | 85.3 | 94.2 | |
| 0 | 74.8 | 81.3 | |
| 0 | 77.7 | 89.9 | |
| 0 | 78.0 | 89.8 | |
| 0 | 80.5 | 95.3 | |
| 0 | 75.4 | 84.8 | |
| 0 | 81.5 | 84.2 | |
| 0 | 73.9 | 85.2 | |
| 0 | 69.4 | 74.1 | |
| 0 | 89.4 | 96.7 | |
| 0 | 70.9 | 82.0 | |
| 0 | 82.9 | 90.2 | |
| 0 | 60.1 | 79.0 | |
| 0 | 74.5 | 75.6 | |
| 0 | 92.3 | 102.2 | |
| 0 | 87.7 | 98.0 | |
| 0 | 78.9 | 89.7 | |
| 0 | 79.8 | 81.5 | |
| 0 | 85.5 | 97.4 | |
| 0 | 87.3 | 94.1 | |
| 0 | 77.8 | 97.8 | |
| 0 | 71.0 | 80.1 | |
| 0 | 70.0 | 90.7 | |
| 0 | 74.8 | 83.7 | |
| 1 | 69.2 | 79.4 | |
| 1 | 80.5 | 87.4 | |
| 1 | 89.4 | 99.2 | |
| 1 | 74.5 | 88.0 | |
| 1 | 70.0 | 100.0 | |
| 1 | 60.0 | 78.1 | |
| 1 | 79.2 | 90.4 | |
| 1 | 80.5 | 101.3 | |
| 1 | 75.4 | 93.1 | |
| 1 | 83.7 | 90.5 | |
| 1 | 73.9 | 89.1 | |
| 1 | 76.0 | 90.8 | |
| 1 | 85.2 | 93.5 | |
| 1 | 82.1 | 93.5 | |
| 1 | 76.3 | 87.0 | |
| 1 | 97.0 | 104.5 | |
| 1 | 81.5 | 86.5 | |
| 1 | 65.3 | 86.3 | |
| 1 | 60.8 | 86.7 | |
| 1 | 78.5 | 89.9 | |
| 1 | 60.4 | 97.6 | |
| 1 | 89.8 | 92.9 | |
| 1 | 87.8 | 98.5 | |
| 1 | 76.2 | 89.9 | |
| 1 | 74.2 | 88.8 | |
| 1 | 67.4 | 78.8 | |
| 1 | 75.5 | 80.2 | |
| 1 | 80.0 | 90.2 | |
| 1 | 76.4 | 88.0 | |
| 1 | 60.0 | 95.7 | |
| 1 | 89.2 | 96.9 | |
| 1 | 83.3 | 87.7 | |
| 1 | 85.8 | 90.4 | |
| 1 | 75.3 | 84.1 | |
| 1 | 77.9 | 99.0 | |
| 1 | 70.0 | 83.0 | |
| 1 | 88.0 | 94.2 | |
| 1 | 86.9 | 95.0 | |
| 1 | 87.1 | 95.9 | |
| 1 | 60.3 | 82.7 | |
| 1 | 81.2 | 90.7 | |
| 1 | 82.9 | 91.9 | |
| 1 | 87.4 | 103.6 | |
| 1 | 83.0 | 90.0 | |
| 1 | 76.8 | 83.3 | |
| 1 | 76.9 | 87.7 | |
| 1 | 79.8 | 88.2 | |
| 1 | 83.2 | 93.0 | |
| 1 | 79.5 | 88.6 | |
| 1 | 82.4 | 89.3 | |
| 1 | 80.8 | 84.2 | |
| 1 | 83.2 | 94.5 | |
| 1 | 71.6 | 81.5 | |
| 1 | 82.8 | 93.1 | |
| 1 | 76.8 | 92.8 | |
| 1 | 93.2 | 89.4 | |
| 1 | 91.4 | 100.9 | |
| 1 | 97.3 | 103.3 | |
| 1 | 88.3 | 90.1 | |
| 1 | 80.6 | 85.2 | |
| 1 | 87.4 | 91.7 | |
| 1 | 96.5 | 99.3 | |
| 1 | 77.9 | 91.6 | |
| 1 | 76.1 | 84.1 | |
| 1 | 85.2 | 89.7 | |
| 1 | 68.6 | 72.8 | |
| 1 | 79.4 | 91.0 | |
| 1 | 85.2 | 99.1 | |
| 1 | 74.3 | 85.6 | |
| 1 | 74.3 | 89.2 | |
| 1 | 78.5 | 98.5 | |
| 1 | 80.4 | 90.8 | |
| 1 | 82.9 | 85.9 | |
| 1 | 78.9 | 90.7 | |
| 1 | 78.6 | 87.0 | |
| 1 | 87.5 | 93.9 | |
| 1 | 78.9 | 91.4 | |
| 1 | 80.0 | 89.1 | |
| 1 | 80.4 | 89.2 | |
| 1 | 88.3 | 90.5 | |
| 1 | 80.6 | 95.9 | |
| 1 | 85.8 | 90.5 | |
| 1 | 84.6 | 93.0 | |
| 1 | 90.5 | 101.2 | |
| 1 | 92.4 | 101.2 | |
| 1 | 84.4 | 96.7 | |
| 1 | 82.3 | 86.9 | |
| 1 | 77.2 | 85.8 | |
| 1 | 83.3 | 82.1 | |
| 1 | 86.2 | 98.9 | |
| 1 | 81.3 | 97.7 | |
| 1 | 90.2 | 96.4 | |
| 1 | 78.4 | 85.5 | |
| 1 | 84.7 | 90.9 | |
| 1 | 89.7 | 94.3 | |
| 1 | 78.4 | 88.0 | |
| 1 | 70.0 | 80.0 | |
,
Introductory Statistics
OpenStax College Rice University 6100 Main Street MS-375 Houston, Texas 77005
To learn more about OpenStax College, visit http://openstaxcollege.org. Individual print copies and bulk orders can be purchased through our website.
© 2013 Rice University. Textbook content produced by OpenStax College is licensed under a Creative Commons Attribution 4.0 International License. Under this license, any user of this textbook or the textbook contents herein must provide proper attribution as follows:
– If you redistribute this textbook in a digital format (including but not limited to EPUB, PDF, and HTML), then you must retain on every page the following attribution: “Download for free at http://cnx.org/content/col11562/latest/.”
– If you redistribute this textbook in a print format, then you must include on every physical page the following attribution: “Download for free at http://cnx.org/content/col11562/latest/.”
– If you redistribute part of this textbook, then you must retain in every digital format page view (including but not limited to EPUB, PDF, and HTML) and on every physical printed page the following attribution: “Download for free at http://cnx.org/content/col11562/latest/.”
– If you use this textbook as a bibliographic reference, then you should cite it as follows: OpenStax College, Introductory Statistics. OpenStax College. 19 September 2013. <http://cnx.org/content/col11562/latest/>.
For questions regarding this licensing, please contact [email protected]
Trademarks
The OpenStax College name, OpenStax College logo, OpenStax College book covers, OpenStax CNX name, OpenStax CNX logo, Connexions name, and Connexions logo are not subject to the license and may not be reproduced without the prior and express written consent of Rice University.
ISBN-10 1938168208 ISBN-13
978-1-938168-20-8
Revision
ST-1-000-RS
OpenStax College
OpenStax College is a non-profit organization committed to improving student access to quality learning materials. Our free textbooks are developed and peer-reviewed by educators to ensure they are readable, accurate, and meet the scope and sequence requirements of modern college courses. Through our partnerships with companies and foundations committed to reducing costs for students, OpenStax College is working to improve access to higher education for all.
OpenStax CNX
The technology platform supporting OpenStax College is OpenStax CNX (http://cnx.org), one of the world’s first and largest open- education projects. OpenStax CNX provides students with free online and low-cost print editions of the OpenStax College library and provides instructors with tools to customize the content so that they can have the perfect book for their course.
Rice University
OpenStax College and OpenStax CNX are initiatives of Rice University. As a leading research university with a distinctive commitment to undergraduate education, Rice University aspires to path-breaking research, unsurpassed teaching, and contributions to the betterment of our world. It seeks to fulfill this mission by cultivating a diverse community of learning and discovery that produces leaders across the spectrum of human endeavor.
Foundation Support
OpenStax College is grateful for the tremendous support of our sponsors. Without their strong engagement, the goal of free access to high-quality textbooks would remain just a dream.
Laura and John Arnold Foundation (LJAF) actively seeks opportunities to invest in organizations and thought leaders that have a sincere interest in implementing fundamental changes that not only yield immediate gains, but also repair broken systems for future generations. LJAF currently focuses its strategic investments on education, criminal justice, research integrity, and public accountability.
The William and Flora Hewlett Foundation has been making grants since 1967 to help solve social and environmental problems at home and around the world. The Foundation concentrates its resources on activities in education, the environment, global development and population, performing arts, and philanthropy, and makes grants to support disadvantaged communities in the San Francisco Bay Area.
Guided by the belief that every life has equal value, the Bill & Melinda Gates Foundation works to help all people lead healthy, productive lives. In developing countries, it focuses on improving people’s health with vaccines and other life-saving tools and giving them the chance to lift themselves out of hunger and extreme poverty. In the United States, it seeks to significantly improve education so that all young people have the opportunity to reach their full potential. Based in Seattle, Washington, the foundation is led by CEO Jeff Raikes and Co-chair William H. Gates Sr., under the direction of Bill and Melinda Gates and Warren Buffett.
The Maxfield Foundation supports projects with potential for high impact in science, education, sustainability, and other areas of social importance.
Our mission at the Twenty Million Minds Foundation is to grow access and success by eliminating unnecessary hurdles to affordability. We support the creation, sharing, and proliferation of more effective, more affordable educational content by leveraging disruptive technologies, open educational resources, and new models for collaboration between for-profit, nonprofit, and public entities.
Table of Contents Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Chapter 1: Sampling and Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.1 Definitions of Statistics, Probability, and Key Terms . . . . . . . . . . . . . . . . . . . . . . . 5 1.2 Data, Sampling, and Variation in Data and Sampling . . . . . . . . . . . . . . . . . . . . . . 9 1.3 Frequency, Frequency Tables, and Levels of Measurement . . . . . . . . . . . . . . . . . . 26 1.4 Experimental Design and Ethics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 1.5 Data Collection Experiment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 1.6 Sampling Experiment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
Chapter 2: Descriptive Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 2.1 Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs . . . . . . . . . . . . . . 66 2.2 Histograms, Frequency Polygons, and Time Series Graphs . . . . . . . . . . . . . . . . . . 75 2.3 Measures of the Location of the Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85 2.4 Box Plots . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94 2.5 Measures of the Center of the Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 2.6 Skewness and the Mean, Median, and Mode . . . . . . . . . . . . . . . . . . . . . . . . . 105 2.7 Measures of the Spread of the Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 2.8 Descriptive Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119
Chapter 3: Probability Topics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165 3.1 Terminology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166 3.2 Independent and Mutually Exclusive Events . . . . . . . . . . . . . . . . . . . . . . . . . . 170 3.3 Two Basic Rules of Probability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177 3.4 Contingency Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182 3.5 Tree and Venn Diagrams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188 3.6 Probability Topics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197
Chapter 4: Discrete Random Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227 4.1 Probability Distribution Function (PDF) for a Discrete Random Variable . . . . . . . . . . . 228 4.2 Mean or Expected Value and Standard Deviation . . . . . . . . . . . . . . . . . . . . . . . 230 4.3 Binomial Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237 4.4 Geometric Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243 4.5 Hypergeometric Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247 4.6 Poisson Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250 4.7 Discrete Distribution (Playing Card Experiment) . . . . . . . . . . . . . . . . . . . . . . . . 255 4.8 Discrete Distribution (Lucky Dice Experiment) . . . . . . . . . . . . . . . . . . . . . . . . . 258
Chapter 5: Continuous Random Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291 5.1 Continuous Probability Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293 5.2 The Uniform Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296 5.3 The Exponential Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305 5.4 Continuous Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316
Chapter 6: The Normal Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341 6.1 The Standard Normal Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342 6.2 Using the Normal Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347 6.3 Normal Distribution (Lap Times) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354 6.4 Normal Distribution (Pinkie Length) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356
Chapter 7: The Central Limit Theorem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373 7.1 The Central Limit Theorem for Sample Means (Averages) . . . . . . . . . . . . . . . . . . 374 7.2 The Central Limit Theorem for Sums . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379 7.3 Using the Central Limit Theorem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383 7.4 Central Limit Theorem (Pocket Change) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391 7.5 Central Limit Theorem (Cookie Recipes) . . . . . . . . . . . . . . . . . . . . . . . . . . . 394
Chapter 8: Confidence Intervals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 415 8.1 A Single Population Mean using the Normal Distribution . . . . . . . . . . . . . . . . . . . 417 8.2 A Single Population Mean using the Student t Distribution . . . . . . . . . . . . . . . . . . 427 8.3 A Population Proportion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431 8.4 Confidence Interval (Home Costs) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 438 8.5 Confidence Interval (Place of Birth) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 440 8.6 Confidence Interval (Women's Heights) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 442
Chapter 9: Hypothesis Testing with One Sample . . . . . . . . . . . . . . . . . . . . . . . . . . . 473 9.1 Null and Alternative Hypotheses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474 9.2 Outcomes and the Type I and Type II Errors . . . . . . . . . . . . . . . . . . . . . . . . . . 476 9.3 Distribution Needed for Hypothesis Testing . . . . . . . . . . . . . . . . . . . . . . . . . . 478 9.4 Rare Events, the Sample, Decision and Conclusion . . . . . . . . . . . . . . . . . . . . . . 479
9.5 Additional Information and Full Hypothesis Test Examples . . . . . . . . . . . . . . . . . . 482 9.6 Hypothesis Testing of a Single Mean and Single Proportion . . . . . . . . . . . . . . . . . . 498
Chapter 10: Hypothesis Testing with Two Samples . . . . . . . . . . . . . . . . . . . . . . . . . 529 10.1 Two Population Means with Unknown Standard Deviations . . . . . . . . . . . . . . . . . 530 10.2 Two Population Means with Known Standard Deviations . . . . . . . . . . . . . . . . . . 538 10.3 Comparing Two Independent Population Proportions . . . . . . . . . . . . . . . . . . . . 541 10.4 Matched or Paired Samples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 545 10.5 Hypothesis Testing for Two Means and Two Proportions . . . . . . . . . . . . . . . . . . . 551
Chapter 11: The Chi-Square Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 581 11.1 Facts About the Chi-Square Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . 582 11.2 Goodness-of-Fit Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 583 11.3 Test of Independence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 592 11.4 Test for Homogeneity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 596 11.5 Comparison of the Chi-Square Tests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 599 11.6 Test of a Single Variance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 600 11.7 Lab 1: Chi-Square Goodness-of-Fit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 602 11.8 Lab 2: Chi-Square Test of Independence . . . . . . . . . . . . . . . . . . . . . . . . . . . 606
Chapter 12: Linear Regression and Correlation . . . . . . . . . . . . . . . . . . . . . . . . . . . 637 12.1 Linear Equations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 638 12.2 Scatter Plots . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 640 12.3 The Regression Equation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 643 12.4 Testing the Significance of the Correlation Coefficient . . . . . . . . . . . . . . . . . . . . 649 12.5 Prediction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 654 12.6 Outliers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 655 12.7 Regression (Distance from School) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 663 12.8 Regression (Textbook Cost) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 665 12.9 Regression (Fuel Efficiency) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 667
Chapter 13: F Distribution and One-Way ANOVA . . . . . . . . . . . . . . . . . . . . . . . . . . . 699 13.1 One-Way ANOVA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 700 13.2 The F Distribution and the F-Ratio . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 701 13.3 Facts About the F Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 705 13.4 Test of Two Variances . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 712 13.5 Lab: One-Way ANOVA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 715
Appendix A: Review Exercises (Ch 3-13) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 739 Appendix B: Practice Tests (1-4) and Final Exams . . . . . . . . . . . . . . . . . . . . . . . . . . 765 Appendix C: Data Sets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 819 Appendix D: Group and Partner Projects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 823 Appendix E: Solution Sheets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 829 Appendix F: Mathematical Phrases, Symbols, and Formulas . . . . . . . . . . . . . . . . . . . . 833 Appendix G: Notes for the TI-83, 83+, 84, 84+ Calculators . . . . . . . . . . . . . .
Collepals.com Plagiarism Free Papers
Are you looking for custom essay writing service or even dissertation writing services? Just request for our write my paper service, and we'll match you with the best essay writer in your subject! With an exceptional team of professional academic experts in a wide range of subjects, we can guarantee you an unrivaled quality of custom-written papers.
Get ZERO PLAGIARISM, HUMAN WRITTEN ESSAYS
Why Hire Collepals.com writers to do your paper?
Quality- We are experienced and have access to ample research materials.
We write plagiarism Free Content
Confidential- We never share or sell your personal information to third parties.
Support-Chat with us today! We are always waiting to answer all your questions.
