Enhanced descriptions from Syndetics:

This book explains how to select topic for doing research; how to review literature; how to collect data; how to analyze the data; how to interpolate between the data; how to estimate error in the calculations; how to calculate various statistical parameters for the results; how to present results; how to write a research paper and a thesis for the award of degree.



It asks what is a research journal; what is the difference between an editor of a research journal and a referee for a research paper; what is an editorial board of a research journal.



It provides information about various techniques required for analyzing the data; information about the hypotheses testing; and statistical tests and application of computers in research.

Table of contents provided by Syndetics

• Preface (p. vii)
• I Introduction (p. 1)
• 1 Joining research (p. 2)
• 2 Basic courses (p. 3)
• 3 Basic steps for doing research (p. 4)
• 4 Problems and questions (p. 9)
• 5 Example of research paper (p. 10)
• II Error Analysis (p. 15)
• 1 Random and systematic errors (p. 15)
• 2 Significant figures (p. 16)
• 3 Approximate numbers (p. 17)
• 4 Rounding off numbers (p. 17)
• 5 Presentation of errors (p. 20)
• 6 Index of accuracy (p. 22)
• 7 Error formulas (p. 23)
• 8 Problems and questions (p. 30)
• III Arrangement of Data (p. 31)
• 1 Sampling (p. 31)
• 2 Arrangement of data (p. 33)
• 3 Arithmetic mean (p. 34)
• 4 Median (p. 34)
• 5 Variance (p. 35)
• 6 Standard deviation (p. 36)
• 7 Probability distribution (p. 38)
• 8 Correlation (p. 39)
• 9 Regression (p. 42)
• 10 Multiple regression (p. 45)
• 11 Binomial distribution (p. 46)
• 12 Poisson distribution (p. 49)
• 13 Normal distribution (p. 51)
• 14 t-distribution (p. 54)
• 15 Problems and questions (p. 55)
• IV Interpolation (p. 57)
• 1 Graphical interpolation (p. 57)
• 2 Difference schemes (p. 58)
• 3 Gauss formulas for interpolation (p. 61)
• 4 Linear least square fitting (p. 63)
• 5 Curvilinear least square fitting (p. 66)
• 6 Lagrange's interpolation (p. 69)
• 7 Problems and questions (p. 69)
• V Hypotheses Testing (p. 72)
• 1 Hypothesis (p. 72)
• 2 Basic concepts concerning hypothesis testing (p. 74)
• 3 Procedure for hypothesis testing (p. 80)
• 4 Power of the test (p. 83)
• 5 Power curve for two-sides test (p. 84)
• 6 Power curve for one-side tests (p. 87)
• 7 Sample size to control type II error (p. 91)
• 8 Two sample means (p. 94)
• 9 Paired comparisons (p. 97)
• 10 Single population proportion (p. 98)
• 11 Difference between two population proportions (p. 99)
• 12 Problems and questions (p. 101)
• VI Chi-square Tests (p. 102)
• 1 Chi-square distribution (p. 102)
• 2 Chi-square test for comparing variance (p. 102)
• 3 Chi-square test (p. 105)
• 4 Problems and questions (p. 113)
• VII Non-parametric Tests (p. 115)
• 1 Sign-test (p. 115)
• 2 Wilcoxon signed rank test (p. 122)
• 3 Median test (p. 126)
• 4 Mann-Whitney U test (p. 129)
• 5 Kolmogorov-Smirnov test (p. 132)
• 6 Problems and questions (p. 135)
• VIII Analysis of Variance (p. 138)
• 1 ANOVA technique (p. 138)
• 2 One-way ANOVA technique (p. 139)
• 3 Two-way ANOVA technique (p. 148)
• 4 ANOVA in a Latin square design (p. 158)
• 5 Problems and questions (p. 164)
• IX Simulation (p. 166)
• 1 Introduction (p. 166)
• 2 Need of simulation (p. 168)
• 3 Limitation of simulation technique (p. 170)
• 4 Phases of simulation model (p. 171)
• 5 Random numbers (p. 181)
• 6 Problems and questions (p. 186)
• X Computer in Research (p. 188)
• 1 Computer generations (p. 188)
• 2 Computer system (p. 190)
• 3 Coding system (p. 192)
• 4 Translators (p. 193)
• 5 Some more terms (p. 195)
• 6 Characteristics of a computer (p. 196)
• 7 Binary number system (p. 197)
• 8 Calculations in the binary system (p. 199)
• 9 Use of computers (p. 203)
• 10 Problems and questions (p. 205)
• Appendices (p. 207)
• Bibliography (p. 252)
• Index (p. 253)