Probability Distributions — Concept Maps
Tamil Nadu Board · Class 12 · Mathematics
3 concept maps of Probability Distributions for Tamil Nadu Board Class 12 Mathematics, each also written out as a text outline.
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Probability Distributions - Complete Chapter Overview
The map in words
- Probability Distributions
- Random Variable
- Definition
- Function X from S to R
- Assigns numbers to outcomes
- Types
- Discrete RV
- Countable values
- Uses PMF
- Continuous RV
- Uncountable values
- Uses PDF
- Discrete RV
- Definition
- Discrete Distributions
- PMF
- f of x = P of X equals x
- f of x >= 0
- Sum of f equals 1
- CDF
- F of x = P of X <= x
- Cumulative sum of PMF
- Step function
- PMF from CDF
- Jump at each point
- f of xi = F of xi minus F of xi-1
- PMF
- Continuous Distributions
- PDF
- f of x >= 0
- Integral = 1
- P = Area under curve
- CDF
- F of x = integral of f
- F prime = f
- Smooth curve
- PDF
- Mean and Variance
- Mean E of X
- Discrete: Sum x f of x
- Continuous: Integral x f of x dx
- Variance V of X
- E of X squared minus E of X whole squared
- sigma squared = npq for Binomial
- Properties
- E of aX+b = aE of X+b
- Var of aX+b = a squared Var of X
- Mean E of X
- Special Distributions
- Bernoulli
- Single trial
- X = 0 or 1
- Mean = p
- Variance = pq
- Binomial
- n independent trials
- X = 0 to n
- Mean = np
- Variance = npq
- Bernoulli
- Random Variable
Problem-Solving Strategy for Probability Distribution Problems
The map in words
- Start Problem
- What type of random variable?
- Discrete": Identify possible values and probabilities
- What's being asked?
- PMF": List x values and calculate f(x)
- Check:
- Sum = 1?": Solution Valid
- Sum ≠ 1": Review calculation
- Check:
- CDF": Calculate cumulative probabilities
- Specific probability": Sum relevant PMF values
- PMF": List x values and calculate f(x)
- What's being asked?
- Continuous": Check if PDF or CDF is given
- Given PDF or CDF?
- PDF Given": Use integration for probabilities
- CDF Given": Differentiate for PDF or use F directly
- Given PDF or CDF?
- Discrete": Identify possible values and probabilities
- What type of random variable?
Shows how a random variable maps sample space outcomes to real numbers
The map in words
- Sample Space S (Outcomes)
- X: Function: Real Numbers ℝ (Numerical Values)
- Examples: H, T 1,2,3,4,5,6 Red, Black
- Map to: 0,1 2-12 0,1,2,...
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Sources & Official References
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