STAT 333: Statistical Methods I (Pre-req. STAT 224)
The first part of a two-semester Course providing a systematic development of the principles and methods of statistical inference, on a largely intuitive basis, with a minimum of mathematical theory. This part deals with the general nature of Statistical... |
STAT 332: Multivariate Distributions (Pre-req. STAT 331)
Introduction to Vector Random Variables. Distribution Concepts for Several random variables. Transformations of random vectors. Order Statistics. The multivariate Normal Distribution. |
STAT 331: Probability Distributions (Pre-req. STAT 221, 224)
Elementary Distribution Theory. Generating Functions. Sequences of random variables; the Central Limit Theorem and its applications. |
STAT 226: Official Statistics
Purposes and Scope of Official Statistics. Structure and Work of the National Statistical System. Organisational, Methods and Practices of data collection and dissemination. |
STAT 224: Introductory Probability II (Pre-Req. STAT 221)
Bivariate Distributions. Moment Generating Functions; their properties and uses. Sampling distributions. Distributions associated with samples from a Normal population. The Weak Law of Large Numbers and the Central Limit Theorem. Applications. |
STAT 223: Elementary Statistical Methods
Bivariate Data Analysis. Time Series and Elements of statistical inference. |
STAT 222: Data Analysis I (Pre-Req. STAT 223)
The aim of this course is to give students practice in handling Large data Sets; specifically to provide opportunities for Descriptive and Exploratory Studies. |
STAT 221: Introductory Probability I (Pre-req. MATH 121, 122)
Introduction to the concepts of probability, Random Events, and Random Variables. The Probability Calculus, Univariate probability distributions. |
STAT 112: Elementary Probability
Introduction to basic concepts of Probability, Random event and Random ariables. Probability Calculus and some univariate probability distributions. |
STAT 111: Introduction to Statistics
Introduction to Statistics. The reduction and interpretation of data. |