Abstract:
Principles of statistics and application to AICM; data, information and knowledge concepts; data processing and presentation; descriptive statistics; introduction to inferential statistics for AICM: hypothesis tests (-t-test, ANOVA, Correlations, Chi-square); Regression Analysis: simple linear regression; multiple linear regression; partial correlation; time series/trend analysis; bivariate analysis; multivariate analysis: application of MANOVA and regression, principle component and factor analysis, discriminant, canonical correlations, and cluster analyses in AICM; spatial data analysis; computer applications to statistical analysis (introduction to suitable statistical software: spread sheets, SAS, SPSS, GIS, statistical, other emerging).
Language:
English
Date of publication:
2010
Country:
Region Focus:
Africa Wide
Collection:
RUFORUM OER and Open Access
Agris Subject Categories:
Agrovoc terms:
Licence conditions:
OER
Form:
Web resource
Publisher:
Notes:
These materials have been released under an open license: Creative Commons Attribution 3.0 Unported License. This means that we encourage you to copy, share and where necessary adapt the materials to suite local contexts. However, we do reserve the right that all copies and derivatives should acknowledge the original author.
