Probability Distributions (Part one)

This is a lecture in the graduate course on risk analysis for patient safety. This lecture focuses on probability mass distributions, including Bernoulli, and Binomial. A brief introduction is made to expected value. This is part one of a two part presentation on this topic. This lecture was designed by Alemi and narrated by Buttar.

Category:

Howto & Style

Tags:

• Probability
• Alemi
• Buttar
• Distribution
• Graduate
• Health
• Risk
• Analysis
• Bernoulli
• Geometric
• Poisson
• Mass
• HAP
• 735

[DrAlemi]

This is a good point and shows a rounding error.

[DrAlemi]

Thank you for your comments. I hope you could also find part 2 and 3.

[wlwak]

The expected value (mean) of a discrete random variable (a counted variable) whose probability is described by a p.m.f. (probability mass function) is not the same as the expected value of a continuous random variable (a measured variable) whose probability is described by a p.d.f. ( probability density function). The p.m.f. uses sigma notation. The p.d.f uses integral notation...at 2:23 the video uses the wrong notation. Don't post incorrect information, please.

[jamaldj90]

me 2 i have the same problem i got 0.12 what am i missing ???????

[ultarj]

Thanks for the video, I got 0.14 too.

Ultar

[wildandfurious]

0,06 + 0,08 + 0 + 0 = 0.12 ? Did I miss something? The Expected medication error is the some of the products of the probability and their values! So it should be 0,14

[snhughess]

Very good video.