শিক্ষামূলক নোট: এই পৃষ্ঠা একাডেমিক জীববিজ্ঞান শেখা ও পরীক্ষার প্রস্তুতির সহায়ক।
Biostatistics Course — Biological Data to Inference
Biostatistics converts biological observations into measurable evidence. This governed course moves in one deterministic sequence from data foundations and graphical description to descriptive statistics, hypothesis testing, inferential tests, and relationship analysis.
Governed learning sequence
| Module | Focus | Open |
|---|---|---|
| 01 | Basic concepts: population, sample, variable, observation and measurement | Start Module 01 |
| 02 | Frequency distribution, histogram and polygon | Open Module 02 |
| 03 | Mean, median and mode | Open Module 03 |
| 04 | Range, variance, standard deviation, standard error and CV | Open Module 04 |
| 05 | Null/alternative hypotheses, significance and decision logic | Open Module 05 |
| 06 | Z-test problem solving | Open Module 06 |
| 07 | Student’s t-test and difference between means | Open Module 07 |
| 08 | Chi-square analysis of categorical frequency data | Open Module 08 |
| 09 | Correlation and regression | Open Module 09 |
How to use the course
- Define the biological question before choosing a statistic.
- Identify the variable, measurement scale, sample and comparison structure.
- Describe the data before applying an inferential test.
- Match the statistical method to the data and assumptions.
- Show the calculation or analytical logic.
- Interpret the result in biological language.
- Keep statistical significance separate from biological importance.
Canonical ownership and legacy aliases
The hyphenated central-tendency and dispersion lessons and the dedicated Z-test lesson are the canonical learning nodes. Historical underscore/combined routes remain compatibility redirects and are not counted as separate modules.
Assessment boundary
Use worked problems, data interpretation, method-selection questions and MCQs. A p-value or statistical test result is evidence within a biological argument; it is not a substitute for effect size, study design, biological mechanism or scientific judgment.