Online Courses Handbook 2003

7149 (v.6) Principles of Statistics 101

Area:	Department of Mathematics and Statistics
Contact Hours:	4.0
Credits:	25.0
Lecture:	2 x 1 Hours Weekly
Workshop:	2 x 1 Hours Weekly
Anti Requisite(s):	1373 (v.5) Statistics 121 or any previous version
Co Requisite(s):	7062 (v.5) Mathematics 101 OR 10926 (v.4) Mathematics 103
Other Requisite(s):	Admission: upon completion of TEE Applicable Mathematics
Exploratory data analysis - univariate and bivariate. Probability, conditional probability, independent events. Random variable, distribution function, expectation and variance. Binomial, Poisson, normal exponential and uniform distributions. Bivariate random variables, sums of random variables. Sampling distributions. Confidence intervals. Test of hypotheses. Inference for normal, Poisson and binomial models, contingency tables, regression analysis.