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2018 Summer 1
MTH 4120/Lecture/A - Probability & Statistics I | Credits 3.00
An introductory course in probability primarily designed for business economics and psychology majors. The course coverage will include: descriptive statistics, elementary probability theory, random variables and expectations, discrete probability distributions (Binomial and Poisson distributions), continuous probability distribution (Normal distribution), linear regression analysis and correlations, elementary hypothesis testing and Chi-square tests, non-parametric methods and SPSS lab sessions targeting applications of statistical concepts to business, economics and psychology and interpretations of hardcopies. All practical work will be produced using SPSS statistical software.

Registration Type Traditional
Fees N/A
Instructors Dr. David Munyinyi
Duration 5/21/2018 - 6/28/2018
Schedule All Week Days  1:30 PM - 2:50 PM;  Kensington, Atlantic House, Room COMB
All Week Days  1:30 PM - 2:50 PM;  Kensington, 17 Young Street, Room YS2
Prerequisites MTH 3000 / Lecture <min grade = D-, min credit = 2.33> or MTH 3110 / Lecture <min grade = D-, min credit = 2.33> or PLAC / Mathematics <2.00>
Corequisites N/A
Credit Types Credit
Class 20 Seats | 13 Remaining
Open (Minimum Met)

Primary population and other student populations allowed to register for this course:
 Primary Population# Others Allowed# Others Registered
Campus  Richmond University201
Department  Business Economics206