Learn to use Bayesian inference in R with data from the National Child Measurement Programme (2016--2017) /

This dataset is designed for learning to use Bayesian Inference, specifically in the context of an Independent Samples t test. The dataset is a subset of data derived from the 2016--2017 National Child Measurement Programme (Yr. 6), and the example will examine whether there is a significant differe...

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Bibliographic Details
Main Author:	Jones, Julie Scott, 1966- (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications, Ltd., 2019.
Subjects:	National Child Measurement Programme (Great Britain) Mathematical statistics. Body mass index. Children > Growth. R (Computer program language) Body Mass Index Indice de masse corporelle. Enfants > Croissance. R (Langage de programmation) Body mass index Children > Growth Mathematical statistics
Online Access:	Connect to the full text of this electronic book

Description
Summary:	This dataset is designed for learning to use Bayesian Inference, specifically in the context of an Independent Samples t test. The dataset is a subset of data derived from the 2016--2017 National Child Measurement Programme (Yr. 6), and the example will examine whether there is a significant difference in mean BMI between boys and girls in their final year of primary school. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for R.
Physical Description:	1 online resource : illustrations
ISBN:	9781526498700 1526498707