∑ZWMath CoursesSyllabusExercises
ES
ZWMath›Probability and statistics›Distributions›Bernoulli distribution›ZW-BERNOULLI-DISTRIBUTION-001
Course menu
AreaProbability and statisticsCourseProbability and statisticsTopicDistributions
Probability foundations6
  • Sample space
  • Event
  • Probability measure
  • Classical probability
  • Addition rule
  • Permutations and combinations
Conditional probability4
  • Conditional probability
  • Independence of events
  • Law of total probability
  • Bayes' theorem
Random variables7
  • Random variable
  • Probability mass function
  • Probability density function
  • Cumulative distribution function
  • Expected value
  • Variance
  • Covariance
Distributions6
  • Bernoulli distribution
  • Binomial distribution
  • Poisson distribution
  • Uniform distribution
  • Exponential distribution
  • Normal distribution
Limit theorems3
  • Chebyshev inequality
  • Law of large numbers
  • Central limit theorem
Statistical inference6
  • Random sample
  • Sample mean
  • Estimator
  • Confidence interval
  • Hypothesis test
  • p-value

Exercise · ZW-BERNOULLI-DISTRIBUTION-001 · ★☆☆ Basic

A Bernoulli variable has \(p=0.3\). Compute \(E[X]\).

Choose one option.

Show answer
  • C. \(0.3\)

← Back to the question

Explanation

\(E[X]=1\cdot p+0\cdot(1-p)=p=0.3\).

Study Probability and statistics in ZWMath →

Review the concept: Bernoulli distribution

A Bernoulli variable \(X\) only takes the values 1 (success) and 0 (failure); its only parameter \(p\) is the probability \(P\) of success.

\[P(X=1)=p,\quad P(X=0)=1-p\]

More practice problems: bernoulli distribution

  • ZW-BERNOULLI-DISTRIBUTION-002 A Bernoulli variable has p=0.3. Compute Var(X).
  • ZW-BERNOULLI-DISTRIBUTION-003 Which of these variables is Bernoulli?
  • ZW-BERNOULLI-DISTRIBUTION-004 A fair die is rolled and X=1 if a 6 shows, X=0 otherwise. Compute Var(X).
  • ZW-BERNOULLI-DISTRIBUTION-005 A fair die is rolled and X=1 if a multiple of 3 shows, X=0 otherwise. Compute E[X].
  • ZW-BERNOULLI-DISTRIBUTION-006 If X is Bernoulli with p=0.4, compute E[X^2].
  • ZW-BERNOULLI-DISTRIBUTION-007 If X is Bernoulli and E[X]=0.6, compute Var(X).
  • ZW-BERNOULLI-DISTRIBUTION-008 For which value of p is the variance of a Bernoulli variable largest?
  • ZW-BERNOULLI-DISTRIBUTION-009 A Bernoulli variable has Var(X)=0.16 and p<tfrac12. What is p?

ZW-BERNOULLI-DISTRIBUTION-002 →

Practice

⏱Exam simulator10 random questions with a grade☰All exercises
◉Open on course✦Open on free study↗Open on the map

ZWMath · Math from definition to practice. Open the interactive map · Syllabus · All exercises

Author: ORCID iD 0009-0009-8641-3511

Privacy · About Speedrunz · Contact