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Introductory Statistics follows the scope and sequence of a one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean, which has been widely adopted. Introductory Statistics includes innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful and memorable, so that students can draw a working knowledge from it that will enrich their future studies and help them make sense of the world around them. The text also includes Collaborative Exercises, integration with TI-83,83+,84+ Calculators, technology integration problems, and statistics labs.

lgli/IntroductoryStatistics-OP_i6tAI7e.pdf

lgrsnf/IntroductoryStatistics-OP_i6tAI7e.pdf

zlib/Business & Economics/OpenStax/Introductory Statistics_5793662.pdf

Multiple Authors; OpenStax (Nonprofit organization); Open Textbook Library

Barbara Illowsky, Susan Dean, OpenStax

Barbara Illowsky; Susan L. Dean

Illowsky, Barbara, Dean, Susan

XanEdu Publishing Inc

Open Textbook Library, Place of publication not identified, 2013

Revision ST-2013-002(03/18)-LC, Houston, Texas, 2018

United States, United States of America

Web Version, Houston, Texas, 2013

First, First Edition, PS, 2013

1st, 2013

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Source title: Introductory Statistics by OpenStax (hardcover version, full color)

Preface
1. About OpenStax
2. About OpenStax's resources
3. Coverage and scope
4. Alternate sequencing
5. Pedagogical foundation and features
6. Statistics labs
7. Additional resources
8. About the authors
Chapter 1. Sampling and Data
1.1. Definitions of Statistics, Probability, and Key Terms*
1.2. Data, Sampling, and Variation in Data and Sampling*
1.3. Frequency, Frequency Tables, and Levels of Measurement*
1.4. Experimental Design and Ethics*
1.5. Data Collection Experiment*
1.6. Sampling Experiment*
Glossary
Chapter 2. Descriptive Statistics
2.1. Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs*
2.2. Histograms, Frequency Polygons, and Time Series Graphs*
2.3. Measures of the Location of the Data*
2.4. Box Plots*
2.5. Measures of the Center of the Data*
2.6. Skewness and the Mean, Median, and Mode*
2.7. Measures of the Spread of the Data*
2.8. Descriptive Statistics*
Glossary
Chapter 3. Probability Topics
3.1. Terminology*
3.2. Independent and Mutually Exclusive Events*
3.3. Two Basic Rules of Probability*
3.4. Contingency Tables*
3.5. Tree and Venn Diagrams*
3.6. Probability Topics*
Glossary
Chapter 4. Discrete Random Variables
4.1. Probability Distribution Function (PDF) for a Discrete Random Variable*
4.2. Mean or Expected Value and Standard Deviation*
4.3. Binomial Distribution*
4.4. Geometric Distribution*
4.5. Hypergeometric Distribution*
4.6. Poisson Distribution*
4.7. Discrete Distribution (Playing Card Experiment)*
4.8. Discrete Distribution (Lucky Dice Experiment)*
Glossary
Chapter 5. Continuous Random Variables
5.1. Continuous Probability Functions*
5.2. The Uniform Distribution*
5.3. The Exponential Distribution*
5.4. Continuous Distribution*
Glossary
Chapter 6. The Normal Distribution
6.1. The Standard Normal Distribution*
6.2. Using the Normal Distribution*
6.3. Normal Distribution (Lap Times)*
6.4. Normal Distribution (Pinkie Length)*
Glossary
Chapter 7. The Central Limit Theorem
7.1. The Central Limit Theorem for Sample Means (Averages)*
7.2. The Central Limit Theorem for Sums*
7.3. Using the Central Limit Theorem*
7.4. Central Limit Theorem (Pocket Change)*
7.5. Central Limit Theorem (Cookie Recipes)*
Glossary
Chapter 8. Confidence Intervals
8.1. A Single Population Mean using the Normal Distribution*
8.2. A Single Population Mean using the Student t Distribution*
8.3. A Population Proportion*
8.4. Confidence Interval (Home Costs)*
8.5. Confidence Interval (Place of Birth)*
8.6. Confidence Interval (Women's Heights)*
Glossary
Chapter 9. Hypothesis Testing with One Sample
9.1. Null and Alternative Hypotheses*
9.2. Outcomes and the Type I and Type II Errors*
9.3. Distribution Needed for Hypothesis Testing*
9.4. Rare Events, the Sample, Decision and Conclusion*
9.5. Additional Information and Full Hypothesis Test Examples*
9.6. Hypothesis Testing of a Single Mean and Single Proportion*
Glossary
Chapter 10. Hypothesis Testing with Two Samples
10.1. Two Population Means with Unknown Standard Deviations*
10.2. Two Population Means with Known Standard Deviations*
10.3. Comparing Two Independent Population Proportions*
10.4. Matched or Paired Samples*
10.5. Hypothesis Testing for Two Means and Two Proportions*
Glossary
Chapter 11. The Chi-Square Distribution
11.1. Facts About the Chi-Square Distribution*
11.2. Goodness-of-Fit Test*
11.3. Test of Independence*
11.4. Test for Homogeneity*
11.5. Comparison of the Chi-Square Tests*
11.6. Test of a Single Variance*
11.7. Lab 1: Chi-Square Goodness-of-Fit*
11.8. Lab 2: Chi-Square Test of Independence*
Glossary
Chapter 12. Linear Regression and Correlation
12.1. Linear Equations*
12.2. Scatter Plots*
12.3. The Regression Equation*
12.4. Testing the Significance of the Correlation Coefficient*
12.5. Prediction*
12.6. Outliers*
12.7. Regression (Distance from School)*
12.8. Regression (Textbook Cost)*
12.9. Regression (Fuel Efficiency)*
Glossary
Chapter 13. F Distribution and One-Way ANOVA
13.1. One-Way ANOVA*
13.2. The F Distribution and the F-Ratio*
13.3. Facts About the F Distribution*
13.4. Test of Two Variances*
13.5. Lab: One-Way ANOVA*
Glossary
Appendix A. Review Exercises (Ch 3-13)*
A.1. Chapter 3
A.2. Chapter 4
A.3. Chapter 5
A.4. Chapter 6
A.5. Chapter 7
A.6. Chapter 8
A.7. Chapter 9
A.8. Chapter 10
A.9. Chapter 11
A.10. Chapter 12
A.11. Chapter 13
A.12. Solutions
A.13. References
Appendix B. Practice Tests (1-4) and Final Exams*
B.1. Practice Test 1
B.2. Practice Test 1 Solutions
B.3. Practice Test 2
B.4. Practice Test 2 Solutions
B.5. Practice Test 3
B.6. Practice Test 3 Solutions
B.7. Practice Test 4
B.8. Practice Test 4 Solutions
B.9. Practice Final Exam 1
B.10. Practice Final Exam 1 Solutions
B.11. Practice Final Exam 2
B.12. Practice Final Exam 2 Solutions
Appendix C. Data Sets*
C.1. Lap Times
C.2. Stock Prices
C.3. References
Appendix D. Group and Partner Projects*
D.1. Univariate Data
D.2. Continuous Distributions and Central Limit Theorem
D.3. Hypothesis Testing-Article
D.4. Bivariate Data, Linear Regression, and Univariate Data
Appendix E. Solution Sheets*
E.1. Hypothesis Testing with One Sample
E.2. Hypothesis Testing with Two Samples
E.3. The Chi-Square Distribution
E.4. F Distribution and One-Way ANOVA
Appendix F. Mathematical Phrases, Symbols, and Formulas*
F.1. English Phrases Written Mathematically
F.2. Formulas
F.3. Symbols and Their Meanings
Appendix G. Notes for the TI-83, 83+, 84, 84+ Calculators*
G.1. Quick Tips
G.2. Manipulating One-Variable Statistics
G.3. Drawing Histograms
G.4. Linear Regression
G.5. TI-83, 83+, 84, 84+ instructions for distributions and tests
Appendix H. Tables*
Index
Statistics.pdf
Blank Page

Introductory Statistics follows the scope and sequence of a one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean, which has been widely adopted. Introductory Statistics includes innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful and memorable, so that students can draw a working knowledge from it that will enrich their future studies and help them make sense of the world around them. The text also includes Collaborative Exercises, integration with TI-83,83+,84+ Calculators, technology integration problems, and statistics labs. OpenStax College has compiled many resources for faculty and students, from faculty-only content to interactive homework and study guides

Introductory Statistics is designed for the one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean.--Provided by publisher

"Introductory Statistics is designed for the one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean."--Page 1

"Introductory Statistics is designed for the one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean."--Page 5

2022-08-19