Login Create Account

Back to Course Catalog

POL212Social Sciences3 Unitsintermediate

Basic Statistics For Social Sciences

This course is designed for undergraduate students in political science and other social sciences, providing a foundational understanding of statistics. It covers basic statistical concepts, data collection methods, and presentation techniques relevant to political research. Students will learn to analyze contemporary issues using logical deductions, understand measures of central tendencies, and apply statistical theories. The course also explores probability, permutation, combination theories, and basic research methodologies.

Generate AI Study Notes

Transform this course into personalized study materials with AI

150h

Study Time

13

Weeks

12h

Per Week

intermediate

Math Level

Course Keywords

StatisticsData CollectionProbabilityResearch MethodologySocial Sciences

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

Theoretical Focus

Course Topics

Key areas covered in this course

1

Definitions and Scope of Statistics

2

Data Collection Methods

3

Set Theory and Logic

4

Diagrammatic and Graphical Data Presentation

5

Measures of Central Tendency and Dispersion

6

Probability Theory

7

Permutation and Combination

8

Basic Research Methodology

Total Topics8 topics

Requirements

Knowledge and skills recommended for success

Basic Mathematics

Introduction to Political Science

💡 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

Data Analyst

Apply your skills in this growing field

Market Researcher

Apply your skills in this growing field

Political Analyst

Apply your skills in this growing field

Policy Analyst

Apply your skills in this growing field

Social Researcher

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

GovernmentMarket ResearchPolitical CampaignsSocial ServicesEducation

Study Schedule Beta

A structured 13-week journey through the course content

Week

1

Module 1:

2h

Unit 1: Definitions and Scope of Statistics

2 study hours

•Read definitions of statistics and understand its scope.
•Identify examples of statistical data.
•Discuss the role of statistics in political science.

Week

2

Module 1:

2h

Unit 2: Approach to Data Collection

2 study hours

•State the objects of statistical inquiry.
•Explain how to plan data collection.
•Discuss the techniques of data collection.

Week

3

Module 1:

2h

Unit 3: Concepts of Logic

2 study hours

•Distinguish between statements and non-statements.
•Use logic notations to represent statements.
•Explain types of statements and write negations, converses, and inverses.

Week

4

Module 1:

2h

Unit 4: Introduction to Set Theory II

2 study hours

•Understand set theory concepts.
•Apply set operations.
•Solve problems related to set theory.

Week

5

Module 1:

2h

Unit 5: Concepts of Logic

2 study hours

•Review logic concepts.
•Practice logical reasoning.
•Apply logic to social science problems.

Week

6

Module 2:

2h

Unit 1: Diagrammatic Presentation of Data

2 study hours

•Present raw data in diagrammatic form.
•Draw pictograms, bar charts, and pie charts.
•Explain the best diagram for different data types.

Week

7

Module 2:

2h

Unit 2: Frequency Distribution

2 study hours

•Differentiate between grouped and ungrouped frequency distributions.
•Draw a frequency table for raw data.
•Define terms associated with frequency distribution.

Week

8

Module 2:

2h

Unit 3: Graphical Presentation of Data

2 study hours

•Present data using graphical methods.
•Interpret graphical representations of data.
•Understand different types of graphs and their uses.

Week

9

Module 2:

2h

Unit 4: Measures of Central Tendency

2 study hours

•Calculate the arithmetic mean.
•Obtain the median of grouped and ungrouped distributions.
•Calculate the mode.

Week

10

Module 2:

2h

Unit 5: Measures of Dispersion I

2 study hours

•Understand measures of dispersion.
•Calculate range, variance, and standard deviation.
•Interpret measures of dispersion.

Week

11

Module 2:

2h

Unit 6: Measures of Dispersion II

2 study hours

•Continue studying measures of dispersion.
•Solve problems related to dispersion.
•Apply dispersion measures to real-world data.

Week

12

Module 3:

4h

Unit 1: Probability Theory I

2 study hours

•Explain basic terms related to probability.
•Solve problems of experimental and theoretical probability.
•Understand axioms of probability.

Unit 2: Probability Theory II

2 study hours

•Continue studying probability theory.
•Solve more complex probability problems.
•Apply probability concepts to social science scenarios.

Week

13

Module 3:

2h

Unit 3: Permutation Theorem

2 study hours

•Calculate the factorial of a number.
•Explain the concept of permutation.
•Calculate arrangements of dissimilar and similar objects.

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

Review definitions and formulas from Units 1-6 thoroughly.

2

Practice data presentation techniques from Module 2.

3

Solve probability problems from Module 3 weekly.

4

Create concept maps linking Units 3-5 logic and set theory.

5

Focus on research methodologies from Module 4.

6

Review all Tutor-Marked Assignments (TMAs) and their solutions.

7

Allocate equal time to each module during revision.

8

Practice past exam questions to improve speed and accuracy.

Related Courses

Other courses in Social Sciences that complement your learning

Political Thought Plato- Machieveli

Understanding Conflict and War

INTRODUCTION TO PUBLIC FINANCE MANAGEMENT

View All Social Sciences Courses