Population and sample, Types of variables and levels of measurements, display of data, statistical averages, measures of dispersion and positions, random variable, elementary probability, Some special distributions such as normal and binomial distribution, distribution of sample mean, central limit theorem, correlation and regression. Basic concepts of statistical inference, different types of hypothesis, type I and type II errors, critical region, size of a test, confidence intervals and hypothesis testing. Point and interval estimation of population mean and proportion. Tests of hypotheses concerning population mean and proportion. Nonparametric tests. Sign test, run test, etc. Index number. Implementation of concepts, algorithms, and techniques using appropriate statistical softwares and calculators. A terminal course for those who do not intend a further study of statistics.
Contact hours:
Four lectures/tutorials and one computer lab per week.Assessment:
Two tests (25%), approximately 4 assignments (15%), final exam (60%).Prerequisite:
1.10801 and 1.10802, or 1.10803Text:
Triola, B.C., 1989, Elementary Statistics, 4th ed, Benjamin Cummings, New York