Probability and Distributions Flashcards
7 cards from real AP practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Probability and Distributions flashcards as text
A binomial random variable has n = 20 and p = 0.4. What is its standard deviation?
Answer: 2.19
σ = √(np(1−p)) = √(20 × 0.4 × 0.6) = √4.8 ≈ 2.19.
Using the standard normal table, approximately what proportion of data falls within one standard deviation of the mean?
Answer: 68%
The empirical rule states that approximately 68% of data lies within ±1σ of the mean in a normal distribution.
A student randomly guesses on a 10-question true/false test. What is the probability of getting exactly 7 correct?
Answer: 0.117
P(X = 7) = C(10,7)(0.5)^7(0.5)^3 = 120 × (1/1024) ≈ 0.117.
If X ~ N(100, 15²), what is P(X > 130) using the empirical rule?
Answer: Approximately 2.5%
130 is 2σ above the mean; 95% falls within ±2σ, so 2.5% lies above 130.
The variance of a discrete random variable X is defined as:
Answer: E[(X − μ)²]
Variance is the expected value of the squared deviation from the mean: σ² = E[(X − μ)²].
Two independent random variables X and Y have variances 9 and 16 respectively. What is Var(X + Y)?
Answer: 25
For independent variables, Var(X + Y) = Var(X) + Var(Y) = 9 + 16 = 25.
A Poisson random variable models the number of emails received per hour with mean λ = 3. What is P(X = 0)?
Answer: e⁻³ ≈ 0.050
P(X = 0) = e^(−λ)λ^0/0! = e^(−3) ≈ 0.050.