PPT-Arrays, date, random Declared Variables

Explicitly define them Can give them starting values Figures out type Case sensitive var x 5 note this is the ONLY use of Arrays Collection of related information Referenced with index. How are PCR Arrays Utilized The RT57522 Profiler PCR Arrays have been increasingly used in research on cancer immunology stem cells toxicology biomarker discovery and validation and phenotypic analysis of cells and transgenic animals Why PCR Arrays RANDOM VARIABLES Definition usually denoted as X or Y or even Z and it is th e numerical outcome of a random process Example random process The number of heads in 10 tosses of a coin Example The number 5 rating Expected Value. Airline overbooking. Pooling . blood . samples. Variance and Standard . Deviation . Independent Collections. Optimization. DECS 430-A. Business Analytics . I: Class 2. Random Variables. We will often need to store collections of information. a list of names to sort. a list of values to compute averages, standard deviation, . etc. a group of GUI components. Java provides different types of . 1. http://www.landers.co.uk/statistics-cartoons/. 5.1-5.2: Random Variables - Goals. Be able to define what a random variable is.. Be able to differentiate between discrete and continuous random variables.. http://. rchsbowman.wordpress.com/2009/11/29. /. statistics-notes-%E2%80%93-properties-of-normal-distribution-2/. Chapter 23: Probability Density Functions. http://. divisbyzero.com/2009/12/02. /. an-applet-illustrating-a-continuous-nowhere-differentiable-function//. 1. Matt Gormley. Lecture 2. August 31, 2016. School of Computer Science. Readings:. Mitchell Ch. 1, 2, 6.1 – 6.3. Murphy Ch. 2. Bishop Ch. 1 - 2. 10-601 Introduction to Machine Learning. Reminders. Random Variables. Definition:. A rule that assigns one (and only one) numerical value to each simple event of an experiment; or. A function that assigns numerical values to the possible outcomes of an experiment.. 1. 5. Joint Probability Distributions. 5-1 Two or More Random Variables. 5-1.1 Joint Probability Distributions. 5-1.2 Marginal Probability Distributions. 5-1.3 Conditional Probability Distributions. Random Variables. Definition:. A rule that assigns one (and only one) numerical value to each simple event of an experiment; or. A function that assigns numerical values to the possible outcomes of an experiment.. adding . constants to random variables, multiplying random variables by constants, and adding two random variables together. AP Statistics B. pp. 373-74. 1. Pp. 373-74 are just plain hard. I don’t like the way they are written. Random Variables Expected Value Airline overbooking Pooling blood samples Variance and Standard Deviation Independent Collections Optimization DECS 430-A Business Analytics I: Class 2 Random Variables Lecture Set 9 Arrays, Collections and Repetition Part C - Random Numbers Rectangular and Jagged arrays 1/4/2016 10:04 PM Objectives Understand the concept of random numbers and how to generate random numbers 1. What is . Numpy. ?. Numpy. , . Scipy. , and . Matplotlib. provide MATLAB-like functionality in python.. Numpy. Features:. Typed . multidimentional. arrays (matrices). Fast numerical computations (matrix math).