Each chapter lists a set of objectives and a summary. It offers an insight into how probability has shaped statistical procedures in the behavioural sciences as well as a brief history behind the creation of various statistics. Computational skills are kept to a minimum by including S-PLUS programmes that run the exercises in the chapters. S-PLUS is an advanced statistical package that has an extensive library of functions, which offer flexibility in writing customized routines. Enter your Postcode or Suburb to view availability and delivery times.
Starting in Lecture 8, you explore the remarkable power of statistics to make inferences about an entire population, based on a small sample. You discover how to frame a hypothesis, build a model, and deduce propositions from the resulting data. You study simple linear regression, multiple linear regression, ANOVA analysis of variance , and other cornerstone techniques, while also using R to run simulations of many different scenarios from the R Datasets Package.
In the last third of the course, you learn how statisticians go beyond what beginners are often taught, developing branches of applied statistics that have spun off to form their own immensely productive specialties. These include:. You close the course with a lecture on how to customize R to select and combine information in whatever way you want, so that R best serves your own needs. This experience is optimized for Internet Explorer version 10 and above.
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