Biostatistics
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Follow on Instagram for UpdatesBiostatistics Syllabus — Unit-wise Content
The official GTU curriculum for Biostatistics (subject code 2180403) as prescribed for Biotech · Semester 8 divides the course into 10 units, covering 64 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (2180403)Unit 1 UNIT I
- Introduction to Biostatistics Introduction
- Statistical terms
- aims and applications of statistics
- limitations of statistics
Unit 2 UNIT II
- Classification and Presentation of Data Data: Numerical Representation
- types of sampling
- Non probability sampling
- Organization and classification of data
- Methods of classification of data
- Frequency Distribution Tabular and Graphic presentation
- types of graphs
- significance and limitations of graphs
- illustrative examples
Unit 3 UNIT III
- Central Tendency Characteristics
- Measures of central tendency: mean
- Standard score or Z – score
Unit 4 UNIT IV
- Variability Definition
- measures of dispersion : range
- selected percentiles
- standard deviation
- mean deviation and coefficient of variation
- standard error and degree of freedom
Unit 5 UNIT V
- Kurtosis and Moments Skewness – features
- significance Kurtosis – features
- significance Moments – role and types
Unit 6 UNIT VI
- Correlation and Regression Introduction
- bivariate and multivariate distributions
- types of correlation
- measures of correlation
- objectives of regression analysis
- regression coefficient
- coefficient of determination
- Spearman’s Rank Correlation Coefficient
Unit 7 UNIT VII
- Theoretical Distribution
- Set theory and Probability Normal Distribution
- Permutation and Combination
- Binomial Distribution
- Multinomial Distribution
- Pascal’s Triangle
- Poisson Distribution
- Set Theory
- Baye’s Theory
Unit 8 UNIT VIII
- Analysis of Variance and Test of Significance Introduction
- Test of Significance
- Types of Hypothesis
- Two tailed and one tailed test
- Test of ANOVA
- Computation of ANOVA
Unit 9 UNIT IX
- Student’s t-Test
- Chi Square Test Introduction
- Assumptions and types of t-Tests
- Formula for determination of chi square
- Chi square distribution
- Characteristics and working rule for chi square test
- characteristics of z-test and its applications
- assumptions and working procedure
Unit 10 UNIT X
- Non Parametric Tests Introduction
- advantages and disadvantages of non parametric tests
- Sign Test
- Wilcoxon Signed Rank test
- Wilcoxon Rank Sum Test
- The Mann Whitney Test
- The Kolmogorov Smirnov Goodness of fit test
- Kruskal – Wallis One way analysis of Variance by Ranks
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