Inferential Statistics
CBSE · Class 12 · Applied Mathematics
Complete topic list for Inferential Statistics in CBSE Class 12 Applied Mathematics. Key concepts, sub-topics, and what to focus on for board exams.
Topics in Inferential Statistics
Population, Sample, and Sampling Methods
- Population is the complete group of individuals or objects we want to study
- Sample is a subset of the population used to make inferences about the entire population
- Sample size (n) is always smaller than population size (N)
Parameters vs Statistics and Central Limit Theorem
- Parameters describe populations (denoted by Greek letters)
- Statistics describe samples (denoted by English letters)
- Central Limit Theorem states that sampling distribution approaches normal distribution as sample size increases
Hypothesis Testing Framework
- Null Hypothesis (H₀) assumes no difference or no effect
- Alternative Hypothesis (H₁) states there is a difference or effect
- H₀ uses equality signs (=, ≥, ≤)
One Sample t-Test
- Used when comparing sample mean to known population mean
- Requires normally distributed population with unknown variance
- Test statistic follows t-distribution
Key Concepts
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What are the important topics in Inferential Statistics for CBSE Class 12 Applied Mathematics?
Inferential Statistics covers several key topics that are frequently asked in CBSE Class 12 board exams. Focus on the core concepts listed on this page and practise related questions to build confidence.
How to score full marks in Inferential Statistics — CBSE Class 12 Applied Mathematics?
Start by understanding all key concepts. Practise previous year questions from this chapter. Revise formulas and definitions regularly. Use flashcards for quick revision before the exam.
Sources & Official References
- NCERT Official — ncert.nic.in
- CBSE Academic — cbseacademic.nic.in
- CBSE Official — cbse.gov.in
- National Education Policy 2020 — education.gov.in
Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.
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