Point and interval estimation of mean, variance and proportion. Confidence intervals for difference between two population means, difference between two proportions and ratio of two variances. Tests of hypothesis concerning a population mean, proportion and variance. Tests comparing two means, proportions, and variances. Chi-square tests, multinomial experiments, contingency tables, goodness of fit tests. Predictions about the populations based on samples. Non-parametric tests: sign test, run test, Wilcoxon tests, test of randomness, Kolmogorov-Smirnov tests (both one and two sample problems), Spearman's rank correlation test, Kruskal-Wallis test, Friedman test etc. Computer implementations using appropriate statistical software and calculators. This course is designed especially for students from other disciplines.
Contact hours:
4 lectures/tutorials, 1 computer lab per week.Assessment:
Two tests (25%), approx. 4 assignments (15%) and final exam (60%).Prerequisite:
1.20811 or 1.20812Text:
Freund, J. E. & Walpole, R. E. 1984, Mathematical Statistics, Prentice-Hall, N.Y.
Triola, B. C., 1989, Elementary Statistics, 4th ed., Benjamin Cummings, New York