Trends In Biostatistics With Practical

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? Trends in Biostatistics with Practical by Dr. Tripurari Mishra, published by Mahaveer Publications, is a comprehensive textbook designed as per the CBCS and NEP-2020 syllabus for B.Sc. 5th and 6th Semester Life Science Honours (DSE) courses offered by universities across Assam and India.

This book offers a balanced blend of theoretical principles and practical applications of biostatistics, enabling students to understand and analyze biological data effectively. It covers the fundamental concepts of data collection, organization, and representation, along with the measures of central tendency, dispersion, and variability essential for biological research.

Major topics include:

  • Data and sampling techniques in biological research

  • Frequency distribution and graphical representation

  • Measures of central tendency (Mean, Median, Mode)

  • Measures of dispersion (Range, Variance, Standard Deviation, Coefficient of Variation)

  • Probability distributions – Binomial, Poisson, and Normal

  • Tests of significancet-test, F-test, and Chi-square test

  • ANOVA (One-way and Two-way)

  • Correlation and regression analysis

  • Biostatistical applications in life sciences

The practical section provides step-by-step exercises on data handling, statistical testing, and result interpretation using real biological examples, preparing students for both laboratory and field-based data analysis.

Course Contents

1. Introduction to Biostatistics

  • Meaning, scope, and importance of biostatistics in life sciences

  • Role of statistics in biological and medical research

  • Types and sources of data — primary and secondary

  • Qualitative and quantitative data

  • Scales of measurement: nominal, ordinal, interval, and ratio

  • Organization, classification, and tabulation of data

  • Graphical representation: bar diagrams, histograms, pie charts, and frequency polygons


2. Preliminary Concepts

  • Population and sample

  • Sampling methods: random and non-random sampling

  • Parameters and statistics

  • Frequency distribution and cumulative frequency

  • Concepts of probability and probability distributions

  • Normal, binomial, and Poisson distributions


3. Central Tendency

  • Concept and significance of central tendency

  • Arithmetic mean, median, and mode — calculations and interpretation

  • Geometric mean and harmonic mean

  • Merits and demerits of different measures

  • Applications in biological data


4. Correlation and Regression

  • Meaning and types of correlation

  • Karl Pearson’s coefficient of correlation

  • Spearman’s rank correlation

  • Concept and importance of regression analysis

  • Regression equations and prediction in biological studies

  • Relation between correlation and regression


5. Statistical Inference

  • Sampling errors and standard error

  • Hypothesis testing: null and alternative hypothesis

  • Level of significance and confidence limits

  • Student’s t-test, F-test, and Chi-square test — principles and applications

  • One-way and two-way ANOVA

  • Interpretation and presentation of statistical results


6. Practical

  • Collection and classification of biological data

  • Construction of frequency tables and graphical representations

  • Calculation of mean, median, and mode

  • Computation of standard deviation and coefficient of variation

  • Demonstration of correlation and regression

  • Application of t-test and Chi-square test in sample data

  • Use of MS Excel or statistical software for data analysis


7. F-Distribution Critical Value Landmarks Table

  • Reference tables for statistical testing and result validation

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