BIO206

Statistics For Agriculture and Biological Sceinces

Sciences
200 level
2 credit units
120 pages
15 units

This course introduces students to the fundamental principles of biostatistics and its applications in biological and agricultural sciences. It covers topics such as data collection, presentation, and analysis, including frequency distributions, probability, and measures of central tendency and dispersion. Students will learn hypothesis testing, experimental design, analysis of variance, regression, correlation, and non-parametric tests. The course also explores the use of statistical software in biostatistical analysis.

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About this course

Difficulty: Intermediate
Study hours: 48 hours
Maths: Intermediate
Content: Theoretical, practical, problem solving
Practical work: Yes

Before you start

Basic knowledge of biology and mathematics

How it is assessed

Assignments
Tutor marked assessments
Final examination

What you'll read

The real module and unit structure of BIO206, taken from the course material NOUN publishes.

Module 1 · Basics of Biostatistics

Module 2

Module 3 · Application of Biostatistics II

One paragraph, so you can see how it reads

BIO206 · Unit 1: Concept of Biostatistics

Accuracy is the nearness of any measurement to the actual value of the variable being measured. This depends on the precision required, the tools available for the measurement and the skill of the person undertaking the task.

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What you should be able to do

Understand the principles of biostatistics and its applications.
Apply statistical methods to biological and agricultural data.
Perform hypothesis testing and interpret the results.
Design simple agricultural and biological experiments.
Use statistical software for data analysis.

What it prepares you for

Careers

Biostatistician
Research Scientist
Data Analyst
Epidemiologist
Agricultural Scientist

Where it is applied

Pharmaceuticals
Healthcare
Agriculture
Environmental Science
Research Institutions

Tools

SPSS
MINITAB
Excel

Where it gets hard

The units students slow down on, and what makes each one heavy.

Module 2: Biostatistics Application I
Unit 3: Student's t-distribution
Requires understanding of probability distributions and statistical inference.
Module 2: Biostatistics Application I
Unit 5: Analysis of Variance and Co-variance
Involves complex calculations and interpretation of results.
Module 3: Biostatistics Application II
Unit 3: Non-Parametric Tests
Requires understanding of non-parametric statistical methods and their applications.

A suggested way through it

Suggested

13 weeks, about 45 hours in total. Yours will differ.

Week 1Module 1: Basics of Biostatistics
- Unit 1: Concept of Biostatistics · 3 hours
  Read the introduction to biostatistics.. Understand the types of statistics and their usefulness.. Familiarize yourself with biostatistics terminologies..
Week 2Module 1: Basics of Biostatistics
- Unit 2: Frequency Distribution · 3 hours
  Learn about raw data, arrays, and graphical presentation.. Understand how to prepare frequency distribution data.. Practice presenting data on graphs..
Week 3Module 1: Basics of Biostatistics
- Unit 3: Probability Distribution · 3 hours
  Understand probability distribution.. Distinguish the different types of probability distribution.. Learn the circumstances of using the different forms of probability distribution..
Week 4Module 1: Basics of Biostatistics
- Unit 4: Methods of Estimation & Sampling · 3 hours
  Understand the essences of estimation.. Understand the methods of sampling.. Practice solving problems on estimation and sampling..
Week 5Module 1: Basics of Biostatistics
- Unit 5: Concept of Hypotheses Formulation & Experimental Design · 3 hours
  Understand the importance of hypotheses and experimental design.. Understand the sources of hypotheses and experimental design.. Distinguish the different types of hypotheses and experimental design..
Week 6Module 2: Biostatistics Application I
- Unit 1: Measure of Central Tendency · 3 hours
  Describe the different types of measures of central tendencies.. Understand the usage of the different types of central tendencies.. Practice calculating arithmetic mean, median and mode..
Week 7Module 2: Biostatistics Application I
- Unit 2: Measure of Dispersion/Variability · 3 hours
  Describe the different types of measures of dispersion.. Understand the usage of the different types of dispersion.. Calculate range, variance, standard deviation and coefficient of variation..
Week 8Module 2: Biostatistics Application I
- Unit 3: Student's t-distribution · 3 hours
  Describe the different types of t-test.. Understand the circumstance of using the different types of the test.. Solve problems using one sample t-test, independent samples t-test, and paired samples t-test..
Week 9Module 2: Biostatistics Application I
- Unit 4: Contingency Table · 3 hours
  Understand the principles behind the use of chi-square.. Describe the methods of using the test tool.. Understand the application of the tool..
Week 10Module 2: Biostatistics Application I
- Unit 5: Analysis of Variance and Co-variance · 3 hours
  Understand the principles behind the use of ANOVA.. Describe the methods of using the test tool.. Understand the application of the tool..
Week 11Module 3: Biostatistics Application II
- Unit 1: Simple Linear Regression · 3 hours
  Understand the principles behind simple linear relationship.. Learn how to calculate simple linear regression.. Practice solving problems on simple linear regression..
Week 12Module 3: Biostatistics Application II
- Unit 2: Simple Linear Correlation · 3 hours
  Understand the principles behind simple linear correlation.. Learn how to calculate simple linear correlation.. Practice solving problems on simple linear correlation..
Week 13Module 3: Biostatistics Application II
- Unit 3: Non-Parametric Tests · 3 hours
  Understand the methods and application of sign test.. Understand the methods and applications of Wilcoxon Signed Rank Test.. Understand the methods and applications of Mann-Whitney test.. Understand the methods and applications of Kruskal Wallis Rank test..
- Unit 4: Ecological Statistics · 3 hours
  Understand the methods and application of species richness.. Describe the methods and applications of diversity index.. Understand the methods and applications of species evenness.. Describe the methods and applications of species dominance..
- Unit 5: Computer Approach to Biostatistics · 3 hours
  Understand the different software for biostatistical analyses.. Learn about SPSS and MINITAB..

Preparing for the exam

What to do

Review all module summaries and key concepts.
Practice solving problems from each unit.
Focus on understanding the assumptions and applications of different statistical tests.
Use statistical software to analyze sample datasets.
Create concept maps linking different statistical methods.

Questions students ask about this course

What is BIO206 about?

How many units does BIO206 have?

BIO206, Statistics For Agriculture and Biological Sceinces, has 15 units across 3 modules, over 120 pages of course material. You can read it one unit at a time.

How many credit units is BIO206?

BIO206 carries 2 credit units, at 200 level in Sciences.

Is BIO206 hard?

BIO206 is rated intermediate level, with intermediate mathematical content. It is mostly theoretical, practical and problem solving work, and it has a practical component.

How long does BIO206 take to study?

About 48 hours of study, spread across its 15 units.

How is BIO206 assessed?

BIO206 is assessed by assignments, tutor marked assessments and final examination.

What do I need before starting BIO206?

Basic knowledge of biology and mathematics

What can I do with BIO206?

Biostatistician, Research Scientist, Data Analyst, Epidemiologist and Agricultural Scientist.