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Applied Mathematics · Class 12 Commerce

Ch 7Inferential Statistics — Class 12 Applied Mathematics, concept-first.

This concept map shows how the chapter fits together. Statistics splits into descriptive statistics — which summarises data and estimates the uncertainty in those summaries through the standard error — and inferential statistics, which uses a sample drawn from a population to draw conclusions about the whole.

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Key concepts

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Degrees Of Freedom

Imagine you are standing in an empty room. You can walk forward and backward, slide left and right, and even jump up and down. That is three independent ways to change your position.

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Chapter contents

The NCERT structure, section by section. Open a section to see its questions, then read the concept-first solution.

Concept Map

This concept map shows how the chapter fits together. Statistics splits into descriptive statistics — which summarises data and estimates the uncertainty in those summaries through the standard error…

Introduction

Statistics is often used for more than describing a dataset — one of its most powerful applications is estimating the truth about an entire population from just a small sample of it.

5.1

Population and Sample

A population is the complete group of individuals or objects you want to draw conclusions about — every student enrolled in a school, every chip a factory produces in a week.

5.2

Parameter and Statistics and Statistical Interferences

Once a sample has been drawn, the next question is how to use it responsibly: what exactly are we measuring, and how much can we trust it? This section draws the line between a population-level parame…

5.2.1

Parameter and Statistics

A parameter is a numerical value describing the entire population — the population mean, for instance — computed from every single observation in it.

5.2.2

Statistical Significance and Sampling Distribution

A finding is called statistically significant when we're confident it's real — that it didn't arise from sampling error alone but reflects something genuinely true about the population, provided the s…

5.3

t-Test (a Test of Difference for Parametric Data)

Sometimes a decision requires more than describing a sample — it requires deciding whether an observed difference is real or just noise.

5.3.1

Hypothesis

To make a decision about a population, we first need something concrete to test — an assumption, which may turn out true or false, called a hypothesis.

5.3.2

One Sample T- Test

The one-sample t-test checks whether a sample mean is genuinely different from a known or claimed population value.

5.3.3

T- Test for Two Independent Groups

The two-sample (independent-groups) t-test extends the same logic to comparing two groups against each other — an experimental group against a control group, say — to check whether their means differ…

5.4

Chapter Summary

This chapter built the logic of statistical inference — using the information in a sample to draw, and defend, conclusions about the whole population it came from — one of the core ideas of the CBSE C…

Exercise 5.1

Worked Examples

Solved examples, worked out step by step.