Statistics I
By the end of this course the student are expected to:
By the end of this course the student will, furthermore, have developed the following abilities and skills:
Population, sample, sampling methods, variables. Statistical data, tables, figures. Frequencies. Measures of central tendency. Measures of dispersion. Moments, measures of asymmetry and kurtosis. Introduction to probability theory. Density and distribution functions. Distributions for discrete random variables (Binomial, Hyper geometric, Poisson, Geometric). Distributions for continuous random variables. Normal distribution. Parameters of bivariate distributions. Covariance, correlation coefficient.
Lectures (4 hours per week) and Tutorials (2 hours per week x 13 weeks)
Activity |
Work load |
Lectures (4 hours per week x 13 weeks) |
52 hours (4x13) |
Tutorials (2 hours per week x 13 weeks) - solving of representative problems |
26 hours (2x13) |
Hours for private study of the student |
122 |
The overall course grade is the sum of:
The above student evaluation method is a pilot one and will be re-examined at the end of academic year 2018-2019.
Use of e-class.