'P success' presentation slideshows

Probability

Probability. Sections 7.1 & 7.2 Monday, 16 June. 1. Example: Probability in Genetics. Genetics ( http://staff.jccc.net/pdecell/transgenetics/probability.html )

739 views • 53 slides

Uncertainty in Expert Systems

Uncertainty in Expert Systems. CPS 4801. Uncertainty. Uncertainty is the lack of exact knowledge that would enable us to reach a fully reliable solution. Classical logic assumes perfect knowledge exists: IF A is true THEN B is true Describing uncertainty:

712 views • 42 slides

Communicating Quantitative Information

357 views • 35 slides

Logistic regression

Logistic regression. Recall the simple linear regression model: y = b 0 + b 1 x + e. where we are trying to predict a continuous dependent variable y from a continuous independent variable x. This model can be extended to Multiple linear regression model:

516 views • 29 slides

Random Variables

Random Variables. Discrete: Bernoulli, Binomial, Geometric, Poisson Continuous: Uniform, Exponential, Gamma, Normal Expectation & Variance, Joint Distributions, Moment Generating Functions, Limit Theorems. Definition of random variable.

685 views • 24 slides

296 views • 18 slides

STA 291 Summer 2010

STA 291 Summer 2010. Lecture 7 Dustin Lueker. Probability Terminology. Experiment Any activity from which an outcome, measurement, or other such result is obtained Random (or Chance) Experiment An experiment with the property that the outcome cannot be predicted with certainty Outcome

298 views • 18 slides

11.6 Binomial Distribution

11.6 Binomial Distribution. 9.4.3.9 Use the relationship between conditional probabilities and relative frequencies in contingency tables. . Guiding Question: How can I use binomial expansion to explain probability?. Recall expanding binomials What does this look like?.

342 views • 8 slides