|Hours: 3 0 3
The course is designed to introduce students to the major concepts and tools for collecting, analyzing and drawing conclusions from data. Data and information are integral to the operation and planning of all businesses, and as businesses grow and develop there is an increasing need for the use of formalized statistical methodology to answer business related questions. This course will cover topics like: type of variables and data; frequency distributions; data organization and presentation; numerical measures; measures of dispersion; index numbers, regression and correlation analysis; probability concepts, and sampling methods.
Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course