IB Class 10 Mathematics – Group 5, Statistics & Probability | 3. Standard Deviation & Variance by Abraham | Learn Smarter
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Academics
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Professional Courses
Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

games
3. Standard Deviation & Variance

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take mock test.

Sections

  • 1

    Standard Deviation & Variance

    This section explains the concepts of variance and standard deviation, important measures of data dispersion and consistency.

  • 2

    Introduction

    This section introduces the concepts of variance and standard deviation as essential measures of data dispersion.

  • 3

    Key Concepts

    This section covers foundational concepts of mean, variance, and standard deviation, emphasizing their significance in understanding data dispersion.

  • 3.1

    Mean (Average)

    The mean is the central value of a data set and serves as a fundamental measure in statistics.

  • 3.2

    Deviation From The Mean

    This section explores the concept of deviation from the mean, including definitions and calculations related to variance and standard deviation.

  • 3.3

    Variance (Σ² Or S²)

    Variance measures the average of the squared deviations from the mean, indicating the spread of data in a set.

  • 3.4

    Standard Deviation (Σ Or S)

    Standard deviation is a key measure of data dispersion that quantifies how much individual data points deviate from the mean.

  • 3.5

    Why Square The Differences?

    This section discusses the rationale behind squaring differences when calculating variance and standard deviation in statistics.

  • 4

    Step-By-Step Example

    This section provides detailed examples illustrating how to calculate variance and standard deviation using both sample and grouped data.

  • 4.1

    Example 1: Sample Data

  • 5

    Application To Grouped Data

    This section discusses the calculation of standard deviation and mean for grouped data, emphasizing its application in analyzing statistical information.

  • 5.1

    Example 2: Grouped Data

  • 6

    Properties Of Standard Deviation

    Standard deviation measures the variability of data points in relation to the mean, providing insight into data consistency and spread.

  • 7

    Interpretation

    This section introduces variance and standard deviation as measures of data dispersion.

  • 8

    Summary

    This section provides an overview of variance and standard deviation, essential measures of data dispersion in statistics.

  • 9

    Practice Questions

    This section presents practice questions to reinforce understanding and application of variance and standard deviation concepts.

Class Notes

Memorization

Revision Tests