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BIO206Sciences2 Unitsintermediate

Statistics For Agriculture and Biological Sceinces

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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48h
Study Time
13
Weeks
4h
Per Week
intermediate
Math Level
Course Keywords
BiostatisticsHypothesis TestingExperimental DesignData AnalysisProbability

Course Overview

Everything you need to know about this course

Course Difficulty

Intermediate Level
Builds on foundational knowledge
65%
intermediate
📊
Math Level
Moderate Math
🔬
Learning Type
Hands-on Practice

Course Topics

Key areas covered in this course

1

Descriptive Statistics

2

Probability Distributions

3

Hypothesis Testing

4

Experimental Design

5

Regression and Correlation

6

Non-Parametric Tests

Total Topics6 topics

Requirements

Knowledge and skills recommended for success

Basic knowledge of biology and mathematics

💡 Don't have all requirements? Don't worry! Many students successfully complete this course with basic preparation and dedication.

Assessment Methods

How your progress will be evaluated (3 methods)

assignments

Comprehensive evaluation of course material understanding

Written Assessment

tutor-marked assessments

Comprehensive evaluation of course material understanding

Written Assessment

final examination

Comprehensive evaluation of course material understanding

Computer Based Test

Career Opportunities

Explore the career paths this course opens up for you

Biostatistician

Apply your skills in this growing field

Research Scientist

Apply your skills in this growing field

Data Analyst

Apply your skills in this growing field

Epidemiologist

Apply your skills in this growing field

Agricultural Scientist

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

PharmaceuticalsHealthcareAgricultureEnvironmental ScienceResearch Institutions

Study Schedule Beta

A structured 13-week journey through the course content

Week
1

Module 1: Basics of Biostatistics

3h

Unit 1: Concept of Biostatistics

3 study hours
  • •Read the introduction to biostatistics.
  • •Understand the types of statistics and their usefulness.
  • •Familiarize yourself with biostatistics terminologies.
Week
2

Module 1: Basics of Biostatistics

3h

Unit 2: Frequency Distribution

3 study hours
  • •Learn about raw data, arrays, and graphical presentation.
  • •Understand how to prepare frequency distribution data.
  • •Practice presenting data on graphs.
Week
3

Module 1: Basics of Biostatistics

3h

Unit 3: Probability Distribution

3 study hours
  • •Understand probability distribution.
  • •Distinguish the different types of probability distribution.
  • •Learn the circumstances of using the different forms of probability distribution.
Week
4

Module 1: Basics of Biostatistics

3h

Unit 4: Methods of Estimation & Sampling

3 study hours
  • •Understand the essences of estimation.
  • •Understand the methods of sampling.
  • •Practice solving problems on estimation and sampling.
Week
5

Module 1: Basics of Biostatistics

3h

Unit 5: Concept of Hypotheses Formulation & Experimental Design

3 study 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
6

Module 2: Biostatistics Application I

3h

Unit 1: Measure of Central Tendency

3 study 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
7

Module 2: Biostatistics Application I

3h

Unit 2: Measure of Dispersion/Variability

3 study 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
8

Module 2: Biostatistics Application I

3h

Unit 3: Student's t-distribution

3 study 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
9

Module 2: Biostatistics Application I

3h

Unit 4: Contingency Table

3 study 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
10

Module 2: Biostatistics Application I

3h

Unit 5: Analysis of Variance and Co-variance

3 study hours
  • •Understand the principles behind the use of ANOVA.
  • •Describe the methods of using the test tool.
  • •Understand the application of the tool.
Week
11

Module 3: Biostatistics Application II

3h

Unit 1: Simple Linear Regression

3 study hours
  • •Understand the principles behind simple linear relationship.
  • •Learn how to calculate simple linear regression.
  • •Practice solving problems on simple linear regression.
Week
12

Module 3: Biostatistics Application II

3h

Unit 2: Simple Linear Correlation

3 study hours
  • •Understand the principles behind simple linear correlation.
  • •Learn how to calculate simple linear correlation.
  • •Practice solving problems on simple linear correlation.
Week
13

Module 3: Biostatistics Application II

9h

Unit 3: Non-Parametric Tests

3 study 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 study 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 study hours
  • •Understand the different software for biostatistical analyses.
  • •Learn about SPSS and MINITAB.

This study schedule is in beta and may not be accurate. Please use it as a guide and consult the course outline for the most accurate information.

Course PDF Material

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Study Tips & Exam Preparation

Expert tips to help you succeed in this course

1

Review all module summaries and key concepts.

2

Practice solving problems from each unit.

3

Focus on understanding the assumptions and applications of different statistical tests.

4

Use statistical software to analyze sample datasets.

5

Create concept maps linking different statistical methods.

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