Syllabus
Unit 1
Credit hours
6
Topic
Overview of concepts and definition in biostatistics, Various measurements and types of variables- indicators, Types of data – nominal, ordinal, interval, and ratio, Measures of central tendency and deviation: mean, median, mode, standard deviation, Z-score, Concepts of reliability and validity , Interpretation of research data
PRACTICALS – Computer programs for data analysis
Credit hours
20
Use of software in statistical analysis: Excel, SPSS, JASP, JAMOVI R, Any other software
Unit 2
Credit hours
8
Topic
Hypothesis and sampling: Types of hypothesis and examples for nutritional research, Sample size calculation- statistical procedures Errors in sampling- type 1 and type 2 errors, Consideration for sampling for statistical tests sample size, sample grouping
PRACTICALS – Computer programs for data analysis
Credit hours
20
Qualitative data analysis: ATLAS.T1, N-VIVO
Unit 3
Credit hours
8
Topic
Statistical test: Concept of bivariate and multivariate, Comparison of data set –examples for nutritional research, T-test, paired t-test, Karl Pearson, correlation coefficient test, and others, Chi-square test and other various types of test
PRACTICALS – Computer programs for data analysis
Credit hours
5
Integrating quantitative and quantitative data
Unit 4
Credit hours
8
Topic
Statistical tests for multiple variables; F-test (ANOVA)
Concept of regression analysis, line of regression, regression test Conducting statistical analysis and interpretation of data
PRACTICALS – Computer programs for data analysis
Credit hours
15
Various ways of presenting data: tables, figures graphs, and flow charts
Introduction
Course Description
Biostatistics applies statistical methods to biological and health research. The course covers data collection, analysis, and interpretation, focusing on study design, probability, hypothesis testing, regression, and survival analysis. Students learn to use statistical software, analyze real-world datasets, and apply findings to public health and clinical decision-making.
Objectives and Outcomes
- To understand fundamental statistical concepts and biological and health research methodologies.
- To develop skills in designing and conducting epidemiological and clinical studies.
- To master data collection, management, and analysis techniques using statistical software.
- To learn to apply probability and hypothesis testing to real-world biological data.
- To analyze and interpret results from regression models and survival analysis.
- To communicate statistical findings effectively to inform public health and clinical decisions.
Prerequisites
Bachelor of Nutrition and Dietetics (Honors) (4-year program)
