| Course ID: | IGP-SE>23377.3 |
| Course title: | STATISTICS |
| Semester: | 3 / Winter |
| ECTS: | 3 |
| Lectures/Classes: | 0 / 0 hours |
| Field of study: | Spatial Management |
| Study cycle: | 1st cycle |
| Type of course: | --- |
| Prerequisites: | high school mathematics |
| Contact person: | mgr inż. Mateusz Boczar; mateusz.boczar@upwr.edu.pl |
| Short description: | Elements of descriptive statistics - basic numerical characteristics, graphic presentation of empirical material, comparative data analysis, formulation of working hypotheses, point and interval estimation, basics of testing statistical hypotheses |
| Full description: | General characteristics of data, measurement scales, types of features, methods of grouping and data presentation. The concept of a sample, general population. Sample representativeness. Graphical presentation of data. Graphical methods for evaluating data homogeneity and outliers. Empirical and theoretical distribution of the examined feature. Fitting the theoretical distribution to empirical data. Measures of position, variability, asymmetry and concentration. Three sigm law. Frequency and probability. Random variable, random variable distribution, expected value and variance of the distribution. Basic distributions of a random variable - dummy, binomial, Poisson, uniform, normal, exponential and gamma distribution. Limit theorems. Distributions of sample statistics. Estimators and their properties. Point etymation. Interval estimation - confidence interval for the mean, Determining the minimum sample size. Testing statistical hypotheses. Study of the dependence of features - correlation |
| Bibliography: | Vic Barnett, Environmental Statistics: Methods and Applications, Wiley&Sons 2004 Jerome L. Myers, Arnold Well, Robert Frederick Lorch, Research Design and Statistical Analysis, Routledge 2010 |
| Learning outcomes: | A student knows the basic methods of data collection, their presentation and characteristics, understands the need to use the right methods of data collection, understands the limits of the methods used for estimating and testing hypotheses, understands the need for precise formulation of the problem and the right choice of methods to solve it |
| Assessment methods and assessment criteria: | statistical project - 100% |