Statistics – NCERT Class 11 Mathematics Chapter 13 – Measures of Central Tendency, Dispersion, Variance, and Standard Deviation

Introduces the science of statistics focusing on the collection, analysis, and interpretation of data. Discusses measures of central tendency including mean, median, and mode; various measures of dispersion such as range, mean deviation, variance, and standard deviation; methods for ungrouped and grouped data; illustrative examples and exercises; and historical evolution of statistics with key contributors.

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Categories: NCERT, Class XI, Mathematics, Statistics, Central Tendency, Dispersion, Variance, Standard Deviation, Chapter 13
Tags: Statistics, Measures of Central Tendency, Mean, Median, Mode, Measures of Dispersion, Range, Mean Deviation, Variance, Standard Deviation, Data Analysis, Frequency Distribution, Grouped Data, Ungrouped Data, History of Statistics, NCERT Class 11, Mathematics, Chapter 13
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Statistics: Class 11 NCERT Chapter 13 - Ultimate Study Guide, Notes, Questions, Quiz 2025

Statistics

Chapter 13: Mathematics - Ultimate Study Guide | NCERT Class 11 Notes, Questions, Examples & Quiz 2025

Full Chapter Summary & Detailed Notes - Statistics Class 11 NCERT

Overview & Key Concepts

  • Chapter Goal: Measures of dispersion beyond central tendency. Focus: Range, mean deviation (ungrouped/grouped). Exam Focus: Calculations, tables, steps. 2025 Updates: Batsmen examples emphasized. Fun Fact: Karl Pearson (1857-1936) advanced stats. Core Idea: Scatter around center. Real-World: Cricket scores variability. Ties: Ch5 (mean/median). Expanded: Ungrouped to grouped, discrete/continuous from PDF.
  • Wider Scope: Variability via range/deviations (PDF covers intro, range, mean dev up to continuous).
  • Expanded Content: Examples, tables, steps.

13.1 Introduction

Statistics analyzes data; central tendency (mean/median/mode) insufficient alone. Need dispersion for scatter. Batsmen A (0-117, mean 53) vs B (46-60, mean 53): A scattered, B clustered (Figs 13.1-2). Dispersion: Single number for variability.

13.2 Measures of Dispersion

Range, quartile dev, mean dev, std dev (study all except quartile). Depend on central tendency.

13.3 Range

Max - Min. A:117, B:14. Rough scatter idea, ignores center.

13.4 Mean Deviation

Mean of absolute deviations from 'a' (mean/median). Sum |x_i - a| / n =0 if signed (from mean). MD(a) = $$\sum |x_i - a| / n$$. Common: From mean/median.

13.4.1 Ungrouped Data

Steps: Compute a, deviations, absolutes, mean. Ex1: Data 6,7,10,12,13,4,8,12; mean=9, MD=2.75. Ex2: 20 obs, mean=10, MD=6.2. Ex3: Median=9, MD=5.27.

13.4.2 Grouped Data

(a) Discrete: $$\bar{x} = \sum f_i x_i / N$$, MD= $$\sum f_i |x_i - \bar{x}| / N$$. Median: cf >= N/2. Ex4: MD mean=2.3. Ex5: MD median=4.97.

(b) Continuous: Midpoints as x_i. Ex: Marks 0-10 etc., proceed as discrete.

Summary

Dispersion complements center; range quick, mean dev detailed. Master: Steps/tables, absolute values. Apps: Performance analysis. Mantra: Scatter needs absolutes.

Why This Guide Stands Out

Tables from PDF, batsmen intuition, step-by-step devs, free 2025 with MathJax.

Key Themes & Tips

  • Aspects: Rough (range) to deviation-based.
  • Tip: Always absolute; arrange for median.

Exam Case Studies

Batsmen variability; grouped calcs.

Project & Group Ideas

  • Plot scores in Excel, compute devs.
  • Apps: Cricket stats analyzer.