Fundamentals of statistics for aviation research / Michael A. Gallo, Brooke E. Wheeler and Isaac M. Silver.
"This is the first textbook designed to teach statistics to students in aviation courses. All examples and exercises are grounded in an aviation context, including flight instruction, air traffic control, airport management, and human factors. Structured in six parts, the book covers the key fo...
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Full Text (via Taylor & Francis) |
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| Main Authors: | , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Abingdon, Oxon ; New York, NY :
Routledge,
2023.
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| Series: | Aviation fundamentals.
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| Subjects: |
MARC
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| 100 | 1 | |a Gallo, Michael A., |e author. |0 http://id.loc.gov/authorities/names/n80118723 |1 http://isni.org/isni/0000000374483933 | |
| 245 | 1 | 0 | |a Fundamentals of statistics for aviation research / |c Michael A. Gallo, Brooke E. Wheeler and Isaac M. Silver. |
| 264 | 1 | |a Abingdon, Oxon ; |a New York, NY : |b Routledge, |c 2023. | |
| 300 | |a 1 online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Aviation fundamentals | |
| 545 | 0 | |a Michael A. Gallo, Ph.D., is a Professor Emeritus in the College of Aeronautics at Florida Institute of Technology, USA. Brooke E. Wheeler, Ph.D., is an Associate Professor in the College of Aeronautics at Florida Institute of Technology, USA. Isaac M. Silver, Ph.D., is the President of Energy Management Aerospace, USA. | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "This is the first textbook designed to teach statistics to students in aviation courses. All examples and exercises are grounded in an aviation context, including flight instruction, air traffic control, airport management, and human factors. Structured in six parts, the book covers the key foundational topics relative to descriptive and inferential statistics, including hypothesis testing, confidence intervals, z and t tests, correlation, regression, ANOVA, and chi-square. Additionally, the book promotes both procedural knowledge and conceptual understanding. Detailed, guided examples are presented from the perspective of conducting a research study. Each analysis technique is clearly explained, enabling readers to understand, carry out, and report results correctly. Students are further supported by a range of pedagogical features in each chapter, including objectives, a summary, and a vocabulary check. Digital supplements comprise downloadable data sets and short video lectures explaining key concepts. Instructors also have access to PPT slides and an instructor's manual that consists of a test bank with multiple choice exams, exercises with data sets, and solutions. This is the ideal statistics textbook for aviation courses globally, especially in aviation statistics, research methods in aviation, human factors, and related areas"-- |c Provided by publisher. | ||
| 588 | |a Description based on print version record. | ||
| 505 | 0 | |a <B><P>Table of Contents</P><P></P><P>Part A: Research and Statistics Basics</P></B><P>Chapter 1: The General Nature of Research and Statistics<STRIKE> </P></STRIKE><P>Student Learning Outcomes</P><P>1.1 Chapter Overview </P><P>1.2 The Research Process</P><P>1.3 The Population-Sample Relationship and Sampling Error</P><P>1.4 Quantitative Research Methodologies</P><P>1.5 Variables and Measurement Scales </P><P>Chapter Summary</P><P>Vocabulary Check</P><P>Review Exercises</P><P>References</P><P>Chapter 2: Organizing and Summarizing Data</P><P>Student Learning Outcomes</P><P>2.1 Chapter Overview </P><P>2.2 Examining Distributions </P><P>2.3 Measures of Central Tendency</P><P>2.4 Measures of Dispersion</P><P>2.5 Measures of Position: Percentiles and Quartiles</P><P>Chapter Summary</P><P>Vocabulary Check</P><P>Review Exercises</P><P>References</P><B><P>Part</B> <B>B: Making Reasonable Decisions about a Population </P></B><P>Chapter 3: <I>Z</I> Scores, the Standard Normal Distribution, and Sampling Distributions</P><P>Student Learning Outcomes</P><P>3.1 Chapter Overview </P><P>3.2 <I>z</I> Scores</P><P>3.3 The Standard Normal Distribution</P><P>3.4 The Sampling Distribution of Sample Means</P><P>Chapter Summary </P><P>Vocabulary Check</P><P>Review Exercises</P><P>References</P><P>Chapter 4: The Concept of Statistical Inference</P><P>Student Learning Outcomes</P><P>4.1 Chapter Overview </P><P>4.2 Parameter Estimation</P><P>4.3 The Nature of Hypothesis Testing</P><P>4.4 Hypothesis Tests Involving the Mean (#xF073; Known)</P><P>4.5 Confidence Intervals vs. Hypothesis Tests</P><P>Chapter Summary </P><P>Vocabulary Check</P><P>Review Exercises</P><P>References</P><B><P>Part C: Analyzing Research Data Involving a Single Sample</P></B><P>Chapter 5: Single-Sample <I>t</I> Test</P><P>Student Learning Outcomes</P><P>5.1 Chapter Overview </P><P>5.2 The <I>t</I> Test Statistic and <I>t </I>Distribution</P><P>5.3 Confidence Intervals and the <I>t</I> Distribution</P><P>5.4 Hypothesis Testing and the <I>t</I> Distribution</P><P>5.5 Using the Single-Sample <I>t</I> Test in Research: A Guided Example</P><P>Chapter Summary </P><P>Vocabulary Check</P><P>Review Exercises</P><P>References</P><P>Chapter 6: Examining Bivariate Relationships: Correlation</P><P>Student Learning Outcomes</P><P>6.1 Chapter Overview </P><P>6.2 Correlation Fundamentals</P><P>6.3 Quantifying Relationships: The Pearson <I>r</P></I><P>6.4 Statistical Aspects of Correlation</P><P>6.5 Statistical Inferences Involving the Pearson <I>r</P></I><P>6.6 Using Bivariate Correlation in Research: A Guided Example</P><P>Chapter Summary </P><P>Vocabulary Check</P><P>Review Exercises</P><P>References</P><P>Chapter 7: Examining Bivariate Relationships: Regression</P><P>Student Learning Outcomes</P><P>7.1 Chapter Overview </P><P>7.2 The Regression Equation</P><P>7.3 Statistical Aspects of Regression</P><P>7.4 Statistical Inferences Involving the Regression Coefficient</P><P>7.5 Using Bivariate Linear Regression in Research: A Guided Example</P><P>Chapter Summary </P><P>Vocabulary Check</P><P>Review Exercises</P><P>References</P><B><P>Part D: Analyzing Research Data Involving Two Independent Samples</P></B><P>Chapter 8: Independent-Samples <I>t</I> Test</P><P>Student Learning Outcomes</P><P>8.1 Chapter Overview </P><P>8.2 The Concept of Independent Samples</P><P>8.3 Statistical Inferences Involving Independent Samples</P><P>8.4 Using the Independent-Samples <I>t</I> Test in Research: A Guided Example</P><P>Chapter Summary </P><P>Vocabulary Check</P><P>Review Exercises</P><P>References</P><P>Chapter 9: Single-Factor ANOVA </P><P>Student Learning Outcomes</P><P>9.1 Chapter Overview </P><P>9.2 The Concept of ANOVA</P><P>9.3 The ANOVA Summary Table and the <I>F</I> Distribution</P><P>9.4 Statistical Inferences Involving the Single-Factor ANOVA: Hypothesis Testing</P><P>9.5 Using Single-Factor ANOVA in Research: A Guided Example</P><P>Chapter Summary </P><P>Vocabulary Check</P><P>Review Exercises</P><P>References</P><P>Chapter 10: Factorial ANOVA</P><P>Student Learning Outcomes</P><P>10.1 Chapter Overview </P><P>10.2 The Concept of Factorial Designs</P><P>10.3 The Logic and Structure of Factorial ANOVA</P><P>10.4 Statistical Inferences Involving Factorial ANOVA: Hypothesis Testing</P><P>10.5 Using Factorial ANOVA in Research: A Guided Example</P><P>Chapter Summary </P><P>Vocabulary Check</P><P>Review Exercises</P><P>References</P><B><P>Part E: Analyzing Research Data Using a Within-Groups Design</P></B><P>Chapter 11: Repeated-Measures <I>t</I> Test</P><P>Student Learning Outcomes</P><P>11.1 Chapter Overview </P><P>11.2 The Concept of Repeated-Measures</P><P>11.3 Statistical Inferences Involving the Repeated-Measures <I>t</I> Test</P><P>11.4 Using the Repeated-Measures <I>t</I> Test in Research: A Guided Example</P><P>Chapter Summary </P><P>Vocabulary Check</P><P>Review Exercises</P><P>References</P><B><P>Part F: Non-Parametric Statistics: Working with Frequency Data</P></B><P>Chapter 12: The Chi-Square Statistic</P><P>Student Learning Outcomes</P><P>12.1 Chapter Overview </P><P>12.2 One-Way Chi-Square: The Test for Goodness of Fit</P><P>12.3 Using the Chi-Square Test for Goodness of Fit in Research: A Guided Example</P><P>12.4 Two-Way Chi-Square: The Test for Independence</P><P>12.5 Using the Chi-Square Test for Independence in Research: A Guided Example</P><P>Chapter Summary </P><P>Vocabulary Check</P><P>Review Exercises</P><P>References</P><B><P>Appendix Tables</P></B><P>Table 1: Area Under the Standard Normal Curve Between the Mean and <I>z</I> </P><P>Table 2: Critical Values of Student's <I>t</I> Distribution</P><P>Table 3: Critical Values for Pearson <I>r</P></I><P>Table 4: Power Table for Pearson <I>r</P></I><P>Table 5: Critical <I>F </I>Values</P><P>Table 6: Critical Values of the Chi-Square Distribution</P><P>Table 7: Sample Size and Power for Chi-Square Test for Independence</P><B><P>Answers to Part A Review Exercises</P><P>Index</P></B> | |
| 650 | 0 | |a Aeronautics |x Study and teaching. |0 http://id.loc.gov/authorities/subjects/sh85001357 | |
| 650 | 0 | |a Aeronautics |x Research. |0 http://id.loc.gov/authorities/subjects/sh85001350 | |
| 700 | 1 | |a Wheeler, Brooke E., |e author. |0 http://id.loc.gov/authorities/names/n2023000850 | |
| 700 | 1 | |a Silver, Isaac M., |e author. |0 http://id.loc.gov/authorities/names/n2023000851 | |
| 776 | 0 | 8 | |i Print version: |a Gallo, Michael A. |t Fundamentals of statistics for aviation research |d Abingdon, Oxon ; New York, NY : Routledge, 2023 |z 9781032311494 |w (DLC) 2022054896 |
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| 830 | 0 | |a Aviation fundamentals. | |
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