'Larger variance' presentation slideshows

How To Be Rich in Stock Market: A data-mining approach

706 views • 37 slides

Chapter 5

Chapter 5. Exercise 1. Fail to reject Ho. Exercise 2. Fail to reject Ho. Exercise 3. CI contains ?, so fail to reject is justified. . Exercise 4. pnorm (-1.265) [1] 0.1029357

395 views • 30 slides

Engineering Statistics - IE 261

Engineering Statistics - IE 261. Chapter 3 Discrete Random Variables and Probability Distributions URL: http://home.npru.ac.th/piya/ClassesTU.html http://home.npru.ac.th/piya/ webscilab. 3-1 Discrete Random Variables. 3-1 Discrete Random Variables. Example 3-1.

378 views • 18 slides

Sampling Distributions

Sampling Distributions. The Design. Consider taking 10 draws from a Uniform distribution on (0,1). [That is, randomly drawing a number between 0 and 1]. One can show that if a random variable X has such a distribution, then E(X) =.5 and Var(X) =1/12. The Design, Continued.

189 views • 10 slides

Problem description

Simulation of a job shop scheduling strategy Marjan van den Akker joint work with: Koen de Bontridder, Rob van Geel, Han Hoogeveen. Problem description. Job shop scheduling Minimize total weighted completion time or total weighted tardiness In practice: disturbances in processing times

193 views • 8 slides