Syllabify LogoSyllabify
HomeBrowse ExamsDownload App
Syllabify LogoSyllabify

HomeBrowse Exams
Download App
Theme
Syllabify LogoSyllabify
HomeBrowse ExamsDownload App
Syllabify LogoSyllabify

HomeBrowse Exams
Download App
Theme
Syllabify LogoSyllabify

Your companion for professional and national entrance exam preparation. Detailed syllabus, tracking, and more.

Top Exams

  • IIT JEE
  • NEET
  • UPSC Civil Services
  • SSC CGL
  • GATE

Legal & Support

  • Privacy Policy
  • Terms & Conditions
  • Contact Us

Get the App

GET IT ONGoogle Play
© 2026 Syllabify. All rights reserved.
Made with by Unitech Studio
Syllabify LogoSyllabify
HomeBrowse ExamsDownload App
Syllabify LogoSyllabify

HomeBrowse Exams
Download App
Theme
Syllabify LogoSyllabify
HomeBrowse ExamsDownload App
Syllabify LogoSyllabify

HomeBrowse Exams
Download App
Theme
  1. Exams
  2. IIT JEE
  3. Mathematics
  4. Statistics and probability
510 marks

Statistics and probability

This chapter covers measures of dispersion, probability concepts, and probability distributions, including binomial distribution.

11 Topics
40h prep
3.1% subject weight
11 Topics
1

Measures of discretion

2m2/10
📌 Key FormulaRange, variance, standard deviation, mean deviation.
2

Calculation of mean, median, mode of grouped data

2m3/10
📌 Key FormulaMean = Σfᵢxᵢ / Σfᵢ, Median and mode using formulas with class intervals.
3

Calculation of mean, median, mode of ungrouped data

2m1/10
📌 Key FormulaMean = Σxᵢ / n, Median = middle value, Mode = most frequent value.
4

Calculation of standard deviation, variance and mean deviation for grouped data

2m4/10
📌 Key FormulaVariance σ² = Σfᵢ(xᵢ - μ)² / N, Standard deviation σ = √σ², Mean deviation = Σfᵢ|xᵢ - μ| / N
5

Calculation of standard deviation, variance and mean deviation for ungrouped data

2m2/10
📌 Key FormulaVariance σ² = Σ(xᵢ - μ)² / n, Standard deviation σ = √σ²
6

Probability of an event

2m2/10
📌 Key FormulaP(E) = n(E)/n(S), where S is sample space.
7

Addition and multiplication theorems of probability

2m3/10
📌 Key FormulaP(A∪B) = P(A) + P(B) - P(A∩B), P(A∩B) = P(A)P(B|A) = P(B)P(A|B)
8

Baye's theorem

2m5/10
📌 Key FormulaP(Aᵢ|B) = P(Aᵢ)P(B|Aᵢ) / Σ P(Aⱼ)P(B|Aⱼ)
9

Probability distribution of a random variate

2m4/10
📌 Key FormulaList of values with probabilities, mean = Σ xᵢ pᵢ, variance = Σ (xᵢ - μ)² pᵢ
10

Bernoulli trials

2m2/10
📌 Key FormulaTrials with two outcomes, success and failure, with constant probability.
11

Binomial distribution

2m4/10
📌 Key FormulaP(X = r) = ⁿCᵣ pʳ qⁿ⁻ʳ, where p = probability of success, q = 1 - p