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Probability Theory
course content

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%.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

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%.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

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%.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

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%.

Switch to desktop for real-world practiceContinue from where you are using one of the options below
Section 4. Chapter 5
Switch to desktop for real-world practiceContinue from where you are using one of the options below
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