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🎲Intro to Probability
Key Terms

170 essential vocabulary terms and definitions to know for your Intro to Probability exam

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A

Almost Sure Convergence
Arrival Times of Events
Asymptotic Behavior

B

Bayesian Networks
Bernoulli random variable
Bernoulli trial
Beta distribution
Binary outcome
Bivariate Distribution
Bivariate Normal Distribution
Bootstrap method
Borel-Cantelli Lemma

C

Calculating Moments
Catalan numbers
Cauchy Distribution
Change of variables
Characteristic Function
Chebyshev's Inequality
Circular permutations
Coefficient of variation
Coin toss
Combinatorial methods
Combinatorial Techniques
Compound Event
Conditional distribution of y given x
Conditional Expectation
Conditional Independence
Consistency
Continuity correction
Continuous data
Continuous probability model
Convergence
Convergence in distribution
Convergence in Probability
Copula Functions
Correlation coefficient of zero
Counting Problems
Cov(x, y)
Covariance Matrix
Cramér-Rao Lower Bound
Credibility interval
Cross-correlation
Cumulant generating function
Cumulative Probability

D

Dependent events
Discrete Cumulative Distribution Function
Discrete Probability Model
Disease Prevalence

E

Empirical Probability
Empty set
Error Distribution
Excess kurtosis
Expected Payout
Expected Utility
Expected Value of Perfect Information
Exponential Generating Function

F

Favorable Outcomes
Finding moments
Finite moments
Finite Population Correction
Finite Sample Space
Finite set
Finite variance
Fixed number of trials

G

Gamma distribution
General Addition Rule

H

Higher-order moments
Hypergeometric Distribution

I

Identical objects in permutations
Identically Distributed
Identically distributed random variables
Importance Sampling
Inclusion-Exclusion Principle
Independence of trials
Independent occurrences