Statistics in education and psychology
Statistics in Education and Psychology aims to develop a coherent, logical and comprehensive outlook towards statistics. The subject involves a wide range of observations, measurements, tools, techniques and data analysis. This book covers diverse topics like measures of central tendency, measures o...
| Autor principal: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
New Delhi, India :
Pearson
2011.
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| Colección: | Always learning.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627764106719 |
Tabla de Contenidos:
- Cover
- Contents
- Preface
- Chapter 1: Measures of Central Tendency
- Concept of Statistics
- Meaning and Definition of Statistics
- Need and Importance of Statistics
- The Frequency Distribution
- The Array
- Discrete Frequency Distribution
- Continuous Frequency Distribution
- Number of Classes
- Class Interval
- Class Frequency
- Tally Sheet
- Measures of Central Tendency
- Characteristics of an Ideal Measure of Central Value
- Summary
- Key Words
- References
- Additional Readings
- Chapter 2: Measure of Variability
- Measures of Dispersion Percentile
- Measures of Dispersion
- The Range
- The Quartile Deviation
- The Quartiles
- Merits and Demerits of Quartile Deviation
- Mean Deviation
- Computation of Mean Deviation from Ungrouped Data
- Mean Deviation from Grouped Data
- Merits and Demerits of Mean Deviation
- Variance and Standard Deviation
- Computation of Variance and Standard Deviation for Ungrouped Data
- Computation of Variance and Standard Deviation for Grouped Data
- Combined Variance and Standard Deviation
- Merits and Demerits of Standard Deviation
- Graphical Representation of Data
- The Histogram
- Frequency Polygon
- Smoothing the Frequency Polygon
- Cumulative Frequency Curve or Ogive
- Coefficient of Variation
- The Percentile
- Computation of Percentile
- Percentile Ranks
- Computation of Percentile Ranks
- Summary
- Key Words
- References
- Additional Readings
- Chapter 3: The Correlation Method
- Meaning and Concept of Correlation
- Methods of Correlation
- Scatter Diagram Method
- The Correlation Coefficient
- Pearson's Coefficient of Correlation
- Direct Method
- Short-Cut Method
- Rank Difference Correlation Methods
- Spearman's Coefficient of Rank Correlation
- Spearman's Coefficient of Rank Difference Correlation q
- Spearman's q with Tied Ranks.
- Partial Correlation
- Formula to Find Partial Correlation
- Multiple Correlation
- Summary
- Key Words
- References
- Additional Readings
- Chapter 4: Normal Probability Curve
- The Equation of the Normal Curve
- Normal Probability Curve (NPC)
- Characteristics of the NPC
- NPC Table
- Properties of the Normal Curve
- Area Under the Normal Curve
- Implications of the Normal Curve
- To Determine Percentage of the Case within Given Limits
- Summary
- References
- Additional Readings
- Chapter 5: Significance of Difference of Means
- Statistical Inference Based on Parametric Tests
- Standard Error (SE)
- Inferences Regarding Means of Large Samples
- Illustration
- Inference Regarding Means of Small Samples
- Confidence Intervals and Levels of Confidence
- Degrees of Freedom
- Significance of the Difference between Means
- The Significance of the Difference between the Independent Means
- Large Samples
- Small Samples
- The Significance of the Difference between the Dependent Means in Large and Small Samples
- The Difference Method
- The Method of Matching of Pairs (or Method of Equivalent Group)
- Important Properties of Sampling Distribution
- Testing of Significance
- Testing of Significance of Difference of Means
- Main Properties of t-Distribution
- Testing of Significance of Difference of Proportions
- Summary
- Key Words
- References
- Additional Readings
- Chapter 6: Analysis of Variance
- Analysis of Variance (ANOVA)
- Calculation of Sum of Squares
- Summary-Analysis of Variance
- Tests of Differences by the Use of t-Test
- Assumptions of ANOVA
- Summary
- Key Words
- References
- Additional Readings
- Chapter 7: Non-Parametric Test-Chi-square
- Nature of Non-Parametric Tests
- Chi-Square (χ2) Test
- Characteristics of Chi-Square
- Uses of Chi-Square
- Test of Goodness of Fit.
- Testing the Divergence of Observed Results from Those Expected on the Hypothesis of Equal Probability
- Testing the Divergence of Observed Results from Those Expected on the Hypothesis of Normal Probability
- Test of Independence
- Computation of Chi-Square When Variables are in 2x2 Fold Contingency Table
- Computation of Chi-Square When Frequenciesare Small
- Summary
- Key Words
- References
- Additional Readings
- Chapter 8: Standard Score and T-Score
- Need of Common Scales
- Standard Scores (SS)
- Conversion of Raw Scores to Standard Scores
- Normalizing the Frequency Distribution: the T-Scale
- Derivation of T-Scale Equivalents for Raw Scores
- Advantages of Standard Scores and T-Scores
- Summary
- Key Words
- References
- Additional Readings
- Bibliography
- Annexure-I
- Statistical Formulas and Symbols
- Annexure-II
- Annexure-III
- Annexure-IV
- Annexure-V
- Annexure-VI
- Index.
