Educational Statistics

Explore educational statistics—history, key terms, applications, and descriptive & inferential techniques

What you'll learn

Explain the history and evolution of educational statistics

Describe the importance and real-world use of statistics in education

Identify and define key statistical terms and concepts

Apply descriptive and inferential methods to educational data

Requirements

No prior statistics knowledge required Basic understanding of educational concepts is helpful A notebook, pen, and calculator (digital or manual) Willingness to learn and apply new concepts

Description

This course provides a comprehensive understanding of educational statistics, designed for students, educators, and researchers at all levels. Whether you're new to statistics or seeking to strengthen your foundation, this course will guide you through both descriptive and inferential statistical methods used in educational research.We begin with the history and evolution of educational statistics, helping you understand its growing importance in the academic world. You'll learn to identify and define key statistical terms and concepts, essential for interpreting data accurately and critically. The course covers types of data, measurement scales, and classification systems before moving into practical applications of statistics in educational contexts.You will explore measures of central tendency and dispersion, along with techniques such as sampling, hypothesis testing, correlation, and regression analysis. These concepts are presented in a step-by-step format using real-life examples, ensuring clarity and relevance.By the end of the course, you will be equipped to apply statistical techniques confidently in research, report or  thesis writing, difference between report & thesis, and classroom assessments. Whether you're pursuing a degree, working on a research project, or simply want to enhance your data literacy, this course will empower you with the tools, skills and techniques needed to make informed decisions based on data.

Overview

Section 1: Introduction to Statistics

Lecture 1 History and Introduction to Statistics

Lecture 2 Importance of Statistics

Lecture 3 Reasons of Learning Statistics

Lecture 4 How to Learn Statistics

Lecture 5 Build Confidence if You Want to Succeed

Section 2: Basic Concepts in Statistics

Lecture 6 Basic Terms in Statistics

Lecture 7 Variable

Lecture 8 Data and Its Types

Lecture 9 Sources of Data: Primary & Secondary

Lecture 10 Methods of Data Collection

Lecture 11 Scales of Measurement

Section 3: Types and Levels in Statistics

Lecture 12 Types of Statistics

Lecture 13 Methods in Descriptive & Inferential Statistics

Section 4: Measures of Central Tendency

Lecture 14 Mean

Lecture 15 Median

Lecture 16 Mode

Section 5: Measures of Dispersion

Lecture 17 Quartile

Lecture 18 Mean and Standard Deviation

Section 6: Methods in Inferential Statistics

Lecture 19 Introduction to Methods in Inferential Statistics

Lecture 20 Hypothesis Testing: t-test, z-test, f-test

Lecture 21 ANOVA, Chi-Square, Correlation, Regression

Section 7: Data Presentation

Lecture 22 Graphs and Visual Data Representation

B.Ed., M.Ed., and M.Phil Education students Teachers and educators wanting to understand statistics Education researchers working on data analysis or thesis Beginners curious about statistical methods in education