Skip to main content
PHS210Health Sciences3 Unitsintermediate

Introduction To Biostatistics

This course introduces fundamental concepts and applications of Biostatistics in public health. It covers data collection methods, data presentation techniques using tables, diagrams, maps and graphs. The course also delves into numerical measures, measures of relationship, probability theories, and population distributions. Students will learn about sampling techniques, inferential biostatistics, parametric and non-parametric tests, and hypothesis testing. The course aims to equip students with the skills for data analysis and interpretation of statistical results.

Transform this course into personalized study materials with AI

150h
Study Time
13
Weeks
12h
Per Week
intermediate
Math Level
Course Keywords
BiostatisticsData AnalysisPublic HealthHypothesis TestingSampling Techniques

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

Biostatistics

2

Data Management

3

Screening Tests

4

Variables

5

Data Presentation

6

Numerical Measures

7

Probability

8

Population Distributions

9

Sampling Techniques

10

Inferential Statistics

11

Parametric Tests

12

Non-Parametric Tests

Total Topics12 topics

Ready to Start

No specific requirements needed

This course is designed to be accessible to all students. You can start immediately without any prior knowledge or specific preparation.

Assessment Methods

How your progress will be evaluated (2 methods)

Tutor-Marked Assignments

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

Public Health Officer

Apply your skills in this growing field

Biostatistician

Apply your skills in this growing field

Data Analyst

Apply your skills in this growing field

Research Scientist

Apply your skills in this growing field

Epidemiologist

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

HealthcarePharmaceuticalsResearch InstitutionsGovernment AgenciesPublic Health Organizations

Study Schedule Beta

A structured 13-week journey through the course content

Week
1

Module 1: Introduction to Biostatistics and Data Management

4h

Unit 1: Definition and Application of Biostatistics

2 study hours
  • Define Biostatistics
  • Explain concepts
  • Discuss applications in public health

Unit 2: Data, Data Sources

2 study hours
  • Define data
  • Identify data sources
  • Differentiate raw data from statistics
Week
2

Module 1: Introduction to Biostatistics and Data Management

4h

Unit 3: Methods of Data Collection

2 study hours
  • Explain methods of data collection
  • Discuss validity of methods
  • Ensure data integrity

Unit 4: Measuring Instruments

2 study hours
  • Explain types of measuring instruments
  • Identify appropriate instruments
  • Ensure instrument validity
Week
3

Module 2: Screening Tests and Variables

3h

Unit 1: Defining Screening Tests

3 study hours
  • Define screening tests
  • Explain validity and reliability
  • Calculate sensitivity and specificity
Week
4

Module 2: Screening Tests and Variables

3h

Unit 2: Variables and Classification of Variables

3 study hours
  • Define variables
  • Classify variables
  • Give examples of each class
Week
5

Module 3: Organization and Presentation of Data

3h

Unit 1: Tabular Presentations

3 study hours
  • List tables used in data presentation
  • Describe features of a good table
  • Construct various tables
Week
6

Module 3: Organization and Presentation of Data

3h

Unit 2: Diagrammatic Presentation of Data

3 study hours
  • State types of diagrams
  • State properties of a good diagram
  • Identify appropriate diagrams for variables
Week
7

Module 3: Organization and Presentation of Data

3h

Unit 3: Maps and Graphs

3 study hours
  • Define map diagrams and graphs
  • Identify appropriate diagrams
  • Construct maps and graphs
Week
8

Module 4: Numerical Measures

3h

Unit 1: Measures of Central Tendency

3 study hours
  • Define mean, median, and mode
  • Calculate measures of central tendency
  • Understand applications and limitations
Week
9

Module 4: Numerical Measures

3h

Unit 2: Measures of Location

3 study hours
  • Define quartiles, quintiles, deciles, percentiles
  • Explain concept and usage
  • Understand advantages and limitations
Week
10

Module 4: Numerical Measures

3h

Unit 3: Measures of Dispersion or Variability

3 study hours
  • Define standard deviation, variance, coefficient of variation
  • Calculate and interpret values
  • Explain comparative advantages
Week
11

Module 5: Measures of Relationship and Probability

3h

Unit 1: Measures of Relationship

3 study hours
  • Define linear correlation, Spearman's rank, Pearson's coefficient
  • Calculate and interpret values
  • Construct scatter grams
Week
12

Module 5: Measures of Relationship and Probability

3h

Unit 2: Probability

3 study hours
  • Define probability
  • State probability theories
  • Calculate and interpret probabilities
Week
13

Module 6: Population Distributions

3h

Unit 1: Normal Distribution

3 study hours
  • Define normal distribution
  • Mention properties of normal distribution
  • Discuss importance of Gaussian curve

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

Read the complete course material as provided by NOUN.

Access PDF Material

Study Tips & Exam Preparation

Expert tips to help you succeed in this course

1

Focus on understanding the core concepts of each module, especially data collection, presentation, and analysis.

2

Practice applying different statistical tests (T-test, Chi-Square) to sample datasets.

3

Create summary tables for each module, highlighting key formulas and their applications.

4

Review all Tutor-Marked Assignments (TMAs) and understand the solutions thoroughly.

5

Allocate sufficient time for practicing calculations and interpreting results.

6

Pay special attention to the assumptions underlying each statistical test.

7

Create concept maps linking Units 3-5 data presentation and numerical measures.

8

Practice hypothesis testing steps from Units 7-9 weekly.

9

Review all examples and illustrations provided in the course material.

10

Focus on understanding the differences between parametric and non-parametric tests.

Related Courses

Other courses in Health Sciences that complement your learning