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Probability Theory
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Course Content

Probability Theory

Probability Theory

1. Learn Basic Rules

Random VariableBernoulli Trial 1/2Bernoulli Trial 2/2Binomial Probability 1/2Binomial probability 2/2

2. Probabilities of Several Events

Add ProbabilitiesCalculate Connected ProbabilitiesChallengeMultiply probabilitiesDependent probabilitiesLaw of Total ProbabilityBayes Theorem Challenge

3. Conducting Fascinating Experiments

The First ExperimentThe Second ExperimentThe Third ExperimentCombine Your Knowledge

4. Discrete Distributions

Discrete Uniform DistributionCalculate Fascinating ProbabilityBernoulli DistributionBinomial DistributionChallengePoisson DistributionChallenge

5. Normal Distribution

Normal DistributionChallenge 1Сhallenge 2

Challenge

Task

Let's assume that we want to conduct an experiment to determine the probability that a person has more than 3 cats, let's consider that we have asked 1000 people (they can answer yes or no). Follow the algorithm:

  1. Import binom object.
  2. Calculate the probability that more than 200 people answered yes to your question among 1000 that were interviewed. The probability of receiving a positive answer is 0.3 or 30%.

Task

Let's assume that we want to conduct an experiment to determine the probability that a person has more than 3 cats, let's consider that we have asked 1000 people (they can answer yes or no). Follow the algorithm:

  1. Import binom object.
  2. Calculate the probability that more than 200 people answered yes to your question among 1000 that were interviewed. The probability of receiving a positive answer is 0.3 or 30%.

Everything was clear?

Section 4. Chapter 5
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Challenge

Task

Let's assume that we want to conduct an experiment to determine the probability that a person has more than 3 cats, let's consider that we have asked 1000 people (they can answer yes or no). Follow the algorithm:

  1. Import binom object.
  2. Calculate the probability that more than 200 people answered yes to your question among 1000 that were interviewed. The probability of receiving a positive answer is 0.3 or 30%.

Task

Let's assume that we want to conduct an experiment to determine the probability that a person has more than 3 cats, let's consider that we have asked 1000 people (they can answer yes or no). Follow the algorithm:

  1. Import binom object.
  2. Calculate the probability that more than 200 people answered yes to your question among 1000 that were interviewed. The probability of receiving a positive answer is 0.3 or 30%.

Everything was clear?

Section 4. Chapter 5
toggle bottom row

Challenge

Task

Let's assume that we want to conduct an experiment to determine the probability that a person has more than 3 cats, let's consider that we have asked 1000 people (they can answer yes or no). Follow the algorithm:

  1. Import binom object.
  2. Calculate the probability that more than 200 people answered yes to your question among 1000 that were interviewed. The probability of receiving a positive answer is 0.3 or 30%.

Task

Let's assume that we want to conduct an experiment to determine the probability that a person has more than 3 cats, let's consider that we have asked 1000 people (they can answer yes or no). Follow the algorithm:

  1. Import binom object.
  2. Calculate the probability that more than 200 people answered yes to your question among 1000 that were interviewed. The probability of receiving a positive answer is 0.3 or 30%.

Everything was clear?

Task

Let's assume that we want to conduct an experiment to determine the probability that a person has more than 3 cats, let's consider that we have asked 1000 people (they can answer yes or no). Follow the algorithm:

  1. Import binom object.
  2. Calculate the probability that more than 200 people answered yes to your question among 1000 that were interviewed. The probability of receiving a positive answer is 0.3 or 30%.

Section 4. Chapter 5
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