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educational statistics

educational statistics

Explore educational statistics—history, key terms, applications, and descriptive & inferential techniques
Created byNeelofar Ainy
Last updated 5/2025
English

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

Course content

7 sections • 22 lectures • 4h 12m total length

  • History and Introduction to Statistics6:41

    Learners will explore the origin and development of statistics and understand its foundational purpose in research and decision-making.

  • Importance of Statistics6:57

    In this lecture, students will explore the practical importance of statistics in education, research, and everyday life. Real-world examples are discussed to show how statistical knowledge supports decision-making, analysis, and planning. This lecture helps students understand why statistics is a necessary skill in the modern world."

  • Reasons of Learning Statistics4:33

    This lecture explains the key reasons why learning statistics is important for students, researchers, and professionals across different fields.

  • How to Learn Statistics14:51

    This lecture provides helpful strategies and tips to make learning statistics easier and more effective, especially for beginners.

  • Build Confidence if You Want to Succeed3:05

    This motivational lecture encourages students to overcome fear, build confidence, and stay consistent while learning statistics or any other subject.

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.

Who this course is for:

  • 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

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