Statistics in education and psychology / R. P. Pathak.

Format:

Book

Author/Creator:

Pāṭhaka, Rameśa Prasāda, 1959-

Series:

Always learning.

Always learning

Language:

English

Subjects (All):

Educational statistics.

Psychometrics.

Physical Description:

1 online resource (1 v.) : ill.

Edition:

0

Place of Publication:

New Delhi, India : Pearson, 2011.

System Details:

text file

Summary:

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 of variability, the correlation method, normal probability curve (NPC), significance of difference of means, analysis of variance, non-parametric chi-square, standard score and T-score.

Contents:

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

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

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

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

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

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

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

Bibliography

Annexure-I

Statistical Formulas and Symbols

Annexure-II

Annexure-III

Annexure-IV

Annexure-V

Annexure-VI

Index.

Notes:

Includes bibliographical references.

Description based on online resource; title from title page (Safari, viewed August 20, 2014).

ISBN:

9789332501263

9332501262

OCLC:

889254336