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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 significance – t-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.
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
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
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
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
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
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
Reference tables for statistical testing and result validation
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