Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Educational Statistics

    Posted By: ELK1nG
    Educational Statistics

    Educational Statistics
    Published 5/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 2.75 GB | Duration: 4h 13m

    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