Class 11th Statistics
CONTENTS
📘Formula Sheet - Click here
📚Class 11 Statistics – Chapter-wise Summary
📘Chapter 1: Introduction to Statistics
This chapter explains what statistics is, why it is important, and how it is used in economics, business, and daily life. Students learn about the scope, limitations, and the role of statistics in decision-making. It builds the foundation for all future chapters.
📘Chapter 2: Collection of Data
Here, students explore methods of collecting primary and secondary data, drafting questionnaires, and understanding census vs. sampling. The focus is on accuracy, reliability, and choosing the right method for data collection.
📘Chapter 3: Organisation of Data
This chapter covers the classification and tabulation of data into rows, columns, and frequency distributions. Students learn how proper organisation makes analysis easier and more effective.
📘Chapter 4: Presentation of Data
Students learn how to present data visually using bar diagrams, histograms, pie charts, and frequency polygons. The aim is to make data easy to understand and compare.
📘Chapter 5: Measures of Central Tendency – Mean, Median, and Mode
This chapter teaches how to summarise data using averages. Students learn to calculate mean, median, and mode for both grouped and ungrouped data, and when each measure is most suitable.
📘Chapter 6: Measures of Dispersion
Here, students understand how spread out data values are. Topics include range, mean deviation, and standard deviation, along with their importance in comparing datasets.
📘Chapter 7: Correlation
This chapter explains how two variables are related. Students learn about positive, negative, and zero correlation, and methods like Karl Pearson’s coefficient and Spearman’s rank correlation.
📘Chapter 8: Index Numbers
Students explore how index numbers measure changes in prices, quantities, or values over time. They also learn how to construct and interpret various types of index numbers, including consumer price index.
📘Chapter 9: Use of Statistical Tools
The final chapter focuses on applying all the tools learned to analyse economic data and draw meaningful conclusions. It encourages critical thinking and real-world application of statistical methods.