0625 Distribución binomial

Luis Rincón
15 Dec 201329:18

Summary

TLDRThe transcript explains the Binomial distribution, detailing the process of performing independent Bernoulli trials with a success probability p. It defines a random variable X to represent the number of successes in n trials and outlines its probability mass function. The transcript further explains the expectation and variance of X, demonstrating how to calculate both. Additionally, it covers the moment-generating and probability-generating functions, and concludes with a practical example involving defective items in a sample. Overall, it offers a comprehensive introduction to the Binomial distribution and its applications.

Outlines

plate

This section is available to paid users only. Please upgrade to access this part.

Upgrade Now

Mindmap

plate

This section is available to paid users only. Please upgrade to access this part.

Upgrade Now

Keywords

plate

This section is available to paid users only. Please upgrade to access this part.

Upgrade Now

Highlights

plate

This section is available to paid users only. Please upgrade to access this part.

Upgrade Now

Transcripts

plate

This section is available to paid users only. Please upgrade to access this part.

Upgrade Now
Rate This

5.0 / 5 (0 votes)

Related Tags
Binomial DistributionProbability TheoryStatistical MethodsMath EducationBernoulli TrialsSuccess ProbabilityRandom VariablesDistribution FunctionsMathematicsData AnalysisVariance and Expectation