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UiTM MAT522 Mastery✨
Welcome to MathStat 1 Lab: Arcade Edition! 🎯
Topic 1 Syllabus👾
Mathematical Statistics 1 • Discrete Probability Theory
20%
PART 13 Problems
Discrete Probability Distributions
Random variables, PMF axioms, and step-wise CDF representation.
Σ p(y)=1 • F(x) = P(X ≤ x)arrow_forward
0%
PART 22 Problems
Expectation & Variance
Expected value E(X), variance V(X), and linear transformations.
E(X) = Σx·p(x) • V(X) = E(X²) - μ²arrow_forward
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PART 32 Problems
Moments & Generating Functions
Origin moments μ'ₖ, MGF M_X(t) = E(e^{tX}), derivatives at t = 0.
M_X(t) = E(e^{tX}) • E(X) = M'_X(0)arrow_forward
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Classify variables & validate PMFs
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