Introduction to Statistics and Computer Programming

Introduction to Statistics for Computer Science Projects

• Usually, there will be both measurement errors and intrinsic variability. For example, we may want to know the run time of an algorithm solving a given problem. The time cannot be measured exactly, but more importantly, the run time will vary because of varying loads on the processor (e.g. from the operating system) and for some languages (e.g. Java) because of the need for periodic garbage c...

Computer Intensive Statistics 1. Introduction

The principle aim of these notes is to provide context and motivation for the APTS Computer Intensive Statistics Module and to make the module as self-contained as is feasible. Statistics is a broad discipline and the APTS cohort naturally has a diverse range of backgrounds. If you have attended the earlier APTS modules this year, especially Statistical Computing and Statistical Inference, then...

Computer programming languages - a comparative introduction

Introduction to Health Statistics

MEDICAL and non-medical workers in the health services, medical schools and research units of the world will find in this book an invaluable store of information about the collection, presentation, interpretation and use of statistics relating to sickness and health of smiall and large population groups. The author's experience of practical statistics, his work with the World Health Organisatio...

An Introduction to Statistics

A similar process can be used when dealing with sample means. If a suYcient number of samples have been taken, and their means plotted, then they begin to take up a normal distribution. It can be shown mathematically that the mean of this distribution (μx) is the same as the population mean (μ). Furthermore, the standard deviation of the distribution is equal to ó/'n, where n is the number of c...