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    4. Referensverk och tvärvetenskap

    Fundamentals of Statistics for Aviation Research

    AvMichael A. Gallo,Brooke E. Wheeler

    Inbunden, Engelska, 2023

    Del i serien Aviation Fundamentals

    1 972 kr

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    Fler format och utgåvor

    Häftad

    638 kr

    Beskrivning

    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, this 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. In addition, this 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.

    Produktinformation

    • Utgivningsdatum:2023-06-15
    • Mått:174 x 246 x 24 mm
    • Vikt:840 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Aviation Fundamentals
    • Antal sidor:344
    • Förlag:Taylor & Francis Ltd
    • ISBN:9781032311494

    Utforska kategorier

    • Referensverk och tvärvetenskap inom Samhälle och politik
    • Flyg- och rymdteknik inom Naturvetenskap och teknik
    • Transportindustri inom Ekonomi och Ledarskap

    Mer om författaren

    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.

    Innehållsförteckning

    • Table of ContentsPart A: Research and Statistics BasicsChapter 1: The General Nature of Research and Statistics Student Learning Outcomes1.1 Chapter Overview 1.2 The Research Process1.3 The Population–Sample Relationship and Sampling Error1.4 Quantitative Research Methodologies1.5 Variables and Measurement Scales Chapter SummaryVocabulary CheckReview ExercisesReferencesChapter 2: Organizing and Summarizing DataStudent Learning Outcomes2.1 Chapter Overview 2.2 Examining Distributions 2.3 Measures of Central Tendency2.4 Measures of Dispersion2.5 Measures of Position: Percentiles and QuartilesChapter SummaryVocabulary CheckReview ExercisesReferencesPart B: Making Reasonable Decisions about a Population Chapter 3: Z Scores, the Standard Normal Distribution, and Sampling DistributionsStudent Learning Outcomes3.1 Chapter Overview 3.2 z Scores3.3 The Standard Normal Distribution3.4 The Sampling Distribution of Sample MeansChapter Summary Vocabulary CheckReview ExercisesReferencesChapter 4: The Concept of Statistical InferenceStudent Learning Outcomes4.1 Chapter Overview 4.2 Parameter Estimation4.3 The Nature of Hypothesis Testing4.4 Hypothesis Tests Involving the Mean ( Known)4.5 Confidence Intervals vs. Hypothesis TestsChapter Summary Vocabulary CheckReview ExercisesReferencesPart C: Analyzing Research Data Involving a Single SampleChapter 5: Single-Sample t TestStudent Learning Outcomes5.1 Chapter Overview 5.2 The t Test Statistic and t Distribution5.3 Confidence Intervals and the t Distribution5.4 Hypothesis Testing and the t Distribution5.5 Using the Single-Sample t Test in Research: A Guided ExampleChapter Summary Vocabulary CheckReview ExercisesReferencesChapter 6: Examining Bivariate Relationships: CorrelationStudent Learning Outcomes6.1 Chapter Overview 6.2 Correlation Fundamentals6.3 Quantifying Relationships: The Pearson r6.4 Statistical Aspects of Correlation6.5 Statistical Inferences Involving the Pearson r6.6 Using Bivariate Correlation in Research: A Guided ExampleChapter Summary Vocabulary CheckReview ExercisesReferencesChapter 7: Examining Bivariate Relationships: RegressionStudent Learning Outcomes7.1 Chapter Overview 7.2 The Regression Equation7.3 Statistical Aspects of Regression7.4 Statistical Inferences Involving the Regression Coefficient7.5 Using Bivariate Linear Regression in Research: A Guided ExampleChapter Summary Vocabulary CheckReview ExercisesReferencesPart D: Analyzing Research Data Involving Two Independent SamplesChapter 8: Independent-Samples t TestStudent Learning Outcomes8.1 Chapter Overview 8.2 The Concept of Independent Samples8.3 Statistical Inferences Involving Independent Samples8.4 Using the Independent-Samples t Test in Research: A Guided ExampleChapter Summary Vocabulary CheckReview ExercisesReferencesChapter 9: Single-Factor ANOVA Student Learning Outcomes9.1 Chapter Overview 9.2 The Concept of ANOVA9.3 The ANOVA Summary Table and the F Distribution9.4 Statistical Inferences Involving the Single-Factor ANOVA: Hypothesis Testing9.5 Using Single-Factor ANOVA in Research: A Guided ExampleChapter Summary Vocabulary CheckReview ExercisesReferencesChapter 10: Factorial ANOVAStudent Learning Outcomes10.1 Chapter Overview 10.2 The Concept of Factorial Designs10.3 The Logic and Structure of Factorial ANOVA10.4 Statistical Inferences Involving Factorial ANOVA: Hypothesis Testing10.5 Using Factorial ANOVA in Research: A Guided ExampleChapter Summary Vocabulary CheckReview ExercisesReferencesPart E: Analyzing Research Data Using a Within-Groups DesignChapter 11: Repeated-Measures t TestStudent Learning Outcomes11.1 Chapter Overview 11.2 The Concept of Repeated-Measures11.3 Statistical Inferences Involving the Repeated-Measures t Test11.4 Using the Repeated-Measures t Test in Research: A Guided ExampleChapter Summary Vocabulary CheckReview ExercisesReferencesPart F: Non-Parametric Statistics: Working with Frequency DataChapter 12: The Chi-Square StatisticStudent Learning Outcomes12.1 Chapter Overview 12.2 One-Way Chi-Square: The Test for Goodness of Fit12.3 Using the Chi-Square Test for Goodness of Fit in Research: A Guided Example12.4 Two-Way Chi-Square: The Test for Independence12.5 Using the Chi-Square Test for Independence in Research: A Guided ExampleChapter Summary Vocabulary CheckReview ExercisesReferencesAppendix TablesTable 1: Area Under the Standard Normal Curve Between the Mean and z Table 2: Critical Values of Student’s t DistributionTable 3: Critical Values for Pearson rTable 4: Power Table for Pearson rTable 5: Critical F ValuesTable 6: Critical Values of the Chi-Square DistributionTable 7: Sample Size and Power for Chi-Square Test for IndependenceAnswers to Part A Review ExercisesIndex