Introduction to Statistical Software: Eg. SPSS, Minitab, R, Matlab. Statistical data – Data from designed experiments; sample surveys; observational studies.    Data exploration - sample descriptive techniques: measures of location and spread; correlation, etc.  Diagrammatic representation of data: the histogram; stem - and leaf -; box-plot; charts, etc.  Tabulation, interpretation of summary statistics and diagrams. Regression and Correlation Analysis: Simple Linear Regression. Interpretation of coefficients, Correlation and coefficient of determination. One-way ANOVA.

Course Code: 
STA 304
No. of Credits: 
3
Level: 
Level 300
Course Semester: 
Second Semester
Pre-requisite: 
STA 201, STA 202 or HND Statistics
Select Programme(s): 
Statistics