The focus of this module is to progress your statistical knowledge beyond descriptive statistics. This module deals with inferential statistics used to infer conclusions from the data and make generalisations to the populations. This resource has been developed through the Learning from WOeRK project and seeks to support learning in the work place. For an overview of all related modules and resources please visit http://cpdoer.net/collections/
This article is envisioned to form a base uponwhich a full-blown exhaustive discussion ofhypothesis-...
This gracefully organized text reveals the rigorous theory of probability and statistical inference ...
This chapter reviews research on the learning of statistical inference, focusing in particular on re...
The focus of this module is to progress your statistical knowledge beyond descriptive statistics.\ud...
NEXT STAGE... Principles of hypotheses Testing the significance of relationships (hypothesis testing...
Looking at Samples to populations: non parametric.This resource has been developed through the Learn...
Numeracy & Quantitative Methods: Overview of other modelling techniquesTh. is resource has been deve...
This book leads students to learn about the process of conducting statistical investigations from da...
How can we teach graduate-level students the principles of hypothesis testing in order to improve th...
A concise, easily accessible introduction to descriptive and inferential techniques Statistical Inf...
This book leads students to learn about the process of conducting statistical investigations from da...
Bivariate Analysis: Parametric.This resource has been developed through the Learning from WOeRK proj...
Measures of Association: Parametric.This resource has been developed through the Learning from WOeRK...
This dissertation explored the effects of two different interventions on the learning of statistics....
Numeracy & Quantitative Methods:Measures of Association: Non-Parametric. This resource has been deve...
This article is envisioned to form a base uponwhich a full-blown exhaustive discussion ofhypothesis-...
This gracefully organized text reveals the rigorous theory of probability and statistical inference ...
This chapter reviews research on the learning of statistical inference, focusing in particular on re...
The focus of this module is to progress your statistical knowledge beyond descriptive statistics.\ud...
NEXT STAGE... Principles of hypotheses Testing the significance of relationships (hypothesis testing...
Looking at Samples to populations: non parametric.This resource has been developed through the Learn...
Numeracy & Quantitative Methods: Overview of other modelling techniquesTh. is resource has been deve...
This book leads students to learn about the process of conducting statistical investigations from da...
How can we teach graduate-level students the principles of hypothesis testing in order to improve th...
A concise, easily accessible introduction to descriptive and inferential techniques Statistical Inf...
This book leads students to learn about the process of conducting statistical investigations from da...
Bivariate Analysis: Parametric.This resource has been developed through the Learning from WOeRK proj...
Measures of Association: Parametric.This resource has been developed through the Learning from WOeRK...
This dissertation explored the effects of two different interventions on the learning of statistics....
Numeracy & Quantitative Methods:Measures of Association: Non-Parametric. This resource has been deve...
This article is envisioned to form a base uponwhich a full-blown exhaustive discussion ofhypothesis-...
This gracefully organized text reveals the rigorous theory of probability and statistical inference ...
This chapter reviews research on the learning of statistical inference, focusing in particular on re...