Estimation in Data Science EXAM STUDY
GUIDE 2026/2027 COMPLETE QUESTIONS
WITH VERIFIED CORRECT ANSWERS ||
100% GUARANTEED PASS
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1. Probability Mass Function (PMF) - ANSWER ✔ f(x) = P(X=x) = {(1/2) if
x=0, (1/2) if x=1, 0 if otherwise}
2. Bernouilli Distribution - ANSWER ✔ pdf=(pi^x) * (1-pi)^(1-x)
E=pi
VAR=pi(1-pi)
3. Geometric Distribution - ANSWER ✔ Let Y = the number of trials required
to get the first success;
pdf = ((1-p)^x) * p * I(x)
4. Probability Density Function (PDF) - ANSWER ✔ an equation used to
compute probabilities of continuous random variables
5. PDF Properties - ANSWER ✔ 1.) f(x) >= 0 , 2.) Integral (-inf, inf) f(x) dx =
1
, 6. normal distribution - ANSWER ✔ A function that represents the distribution
of variables as a symmetrical bell-shaped graph.
7. Exponential Distribution - ANSWER ✔ A probability distribution associated
with the time between arrivals;
lambda*exp(-lambda*x)
8. (R code) Probability that at standard normal is <= 'x' - ANSWER ✔
pnorm(x)
9. Central Limit Theorem - ANSWER ✔ As the size n of a simple random
sample increases, the shape of the sampling distribution of x̄ tends toward
being normally distributed.
10.True or False: Consistent estimation means convergence in probability -
ANSWER ✔ True
11.Asymptotic efficiency - ANSWER ✔ lim(n-
>inf)(CRLB(theta)/Var[theta^])=1
12.confidence interval - ANSWER ✔ the range of values within which a
population parameter is estimated to lie
13.R code: qnorm(level+(1-level)/2) - ANSWER ✔ returns the normal
distribution (critical value) of a given confidence interval