Month: April 2022

Cluster analysis consists of methods of classifying variables into clusters. Technically, a cluster consists of variables that correlate highly with one another and have comparatively low correlations with variables in other clusters. The basic objective of cluster analysis is to Read More …

UNIVERSITY EXAMINATIONS: 2014/2015 EXAMINATION FOR THE DIPLOMA IN INFORMATION TECHNOLOGY DBIT501 ENTREPRENEURSHIP SKILLS DATE: AUGUST 2016 TIME: 1½HOURS INSTRUCTIONS: Answer Any THREE Questions. QUESTION ONE a) Define the term entrepreneurship. (2 Marks) b) State six characteristics of a successful entrepreneur. Read More …

UNIVERSITY EXAMINATIONS: 2015/2016 EXAMINATION FOR THE DIPLOMA IN BUSINESS INFORMATION TECHNOLOGY DBIT406 INTERNET APPLICATION PROGRAMMING DATE: AUGUST 2016 TIME: 1½HOURS INSTRUCTIONS: Answer Any THREE Questions. QUESTION ONE (a) Write a JavaScript program embedded within an HTML environment that would be Read More …

Factor analysis may be R-type factor analysis or it may be Q-type factor analysis. In R-type factor analysis, high correlations occur when respondents who score high on variable 1 also score high on variable 2 and respondents who score low Read More …

All statistical techniques which simultaneously analyse more than two variables on a sample of observations can be categorized as multivariate techniques. Most of the research studies involve more than two variables in which situation analysis is desired of the association Read More …

Analysis of variance (abbreviated as ANOVA) is used when multiple sample cases are involved. As stated earlier, the significance of the difference between the means of two samples can be judged through either z-test or the t-test, but the difficulty Read More …