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Produktbild: Fundamentals of Statistical Reasoning in Education

Fundamentals of Statistical Reasoning in Education

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

19.12.2013

Verlag

John Wiley & Sons Inc

Seitenzahl

448

Maße (L/B/H)

25,1/20,3/2,5 cm

Gewicht

930 g

Auflage

4th edition

Sprache

Englisch

ISBN

978-1-118-42521-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

19.12.2013

Verlag

John Wiley & Sons Inc

Seitenzahl

448

Maße (L/B/H)

25,1/20,3/2,5 cm

Gewicht

930 g

Auflage

4th edition

Sprache

Englisch

ISBN

978-1-118-42521-3

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: Fundamentals of Statistical Reasoning in Education
  • Chapter 1 Introduction 1
     
    1.1 Why Statistics? 1
     
    1.2 Descriptive Statistics 2
     
    1.3 Inferential Statistics 3
     
    1.4 The Role of Statistics in Educational Research 4
     
    1.5 Variables and Their Measurement 5
     
    1.6 Some Tips on Studying Statistics 8
     
    PART 1 DESCRIPTIVE STATISTICS 13
     
    Chapter 2 Frequency Distributions 14
     
    2.1 Why Organize Data? 14
     
    2.2 Frequency Distributions for Quantitative Variables 14
     
    2.3 Grouped Scores 15
     
    2.4 Some Guidelines for Forming Class Intervals 17
     
    2.5 Constructing a Grouped-Data Frequency Distribution 18
     
    2.6 The Relative Frequency Distribution 19
     
    2.7 Exact Limits 21
     
    2.8 The Cumulative Percentage Frequency Distribution 22
     
    2.9 Percentile Ranks 23
     
    2.10 Frequency Distributions for Qualitative Variables 25
     
    2.11 Summary 26
     
    Chapter 3 Graphic Representation 34
     
    3.1 Why Graph Data? 34
     
    3.2 Graphing Qualitative Data: The Bar Chart 34
     
    3.3 Graphing Quantitative Data: The Histogram 35
     
    3.4 Relative Frequency and Proportional Area 39
     
    3.5 Characteristics of Frequency Distributions 41
     
    3.6 The Box Plot 44
     
    3.7 Summary 45
     
    Chapter 4 Central Tendency 52
     
    4.1 The Concept of Central Tendency 52
     
    4.2 The Mode 52
     
    4.3 The Median 53
     
    4.4 The Arithmetic Mean 54
     
    4.5 Central Tendency and
     
    Distribution Symmetry 57
     
    4.6 Which Measure of Central Tendency to Use? 59
     
    4.7 Summary 59
     
    Chapter 5 Variability 66
     
    5.1 Central Tendency Is Not Enough: The Importance of Variability 66
     
    5.2 The Range 67
     
    5.3 Variability and Deviations From the Mean 68
     
    5.4 The Variance 69
     
    5.5 The Standard Deviation 70
     
    5.6 The Predominance of the Variance and Standard Deviation 71
     
    5.7 The Standard Deviation and the Normal Distribution 72
     
    5.8 Comparing Means of Two Distributions: The Relevance of Variability 73
     
    5.9 In the Denominator: n Versus n .1 75
     
    5.10 Summary 76
     
    Chapter 6 Normal Distributions and Standard Scores 81
     
    6.1 A Little History: Sir Francis Galton and the Normal Curve 81
     
    6.2 Properties of the Normal Curve 82
     
    6.3 More on the Standard Deviation and the Normal Distribution 82
     
    6.4 z Scores 84
     
    6.5 The Normal Curve Table 87
     
    6.6 Finding Area When the Score Is Known 88
     
    6.7 Reversing the Process: Finding Scores When the Area Is Known 91
     
    6.8 Comparing Scores From Different Distributions 93
     
    6.9 Interpreting Effect Size 94
     
    6.10 Percentile Ranks and the Normal Distribution 96
     
    6.11 Other Standard Scores 97
     
    6.12 Standard Scores Do Not "Normalize" a Distribution 98
     
    6.13 The Normal Curve and Probability 98
     
    6.14 Summary 99
     
    Chapter 7 Correlation 106
     
    7.1 The Concept of Association 106
     
    7.2 Bivariate Distributions and Scatterplots 106
     
    7.3 The Covariance 111
     
    7.4 The Pearson r 117
     
    7.5 Computation of r: The Calculating Formula 118
     
    7.6 Correlation and Causation 120
     
    7.7 Factors Influencing Pearson r 122
     
    7.8 Judging the Strength of Association: r 2 125
     
    7.9 Other Correlation Coefficients 127
     
    7.10 Summary 127
     
    Chapter 8 Regression and Prediction 134
     
    8.1 Correlation Versus Prediction 134
     
    8.2 Determining the Line of Best Fit 135
     
    8.3 The Regression Equation in Terms of Raw Scores 138
     
    8.4 Interpreting the Raw-Score Slop