Statistics 1755-F12-STAT-J

1. Obligatory hours realized with the teacher participation: – lecture participation – 12 hours – laboratories participation – 23 hours, – consultations participation, including scientific and research consultations 3 hours, – final exam participation – 2 hours Total obligatory hours realized with the teacher participation: 40 hours, which corresponds to 1.60 ECTS point. 2. Student workload balance: – lecture participation – 12 hours, – laboratories participation – 23 hours, – consultations participation, including scientific and research consultations – 5 hours, – preparation for laboratories – 35 hours, – preparation for tests and final exam – 25 hours, A total work amount: 100 hours, which corresponds to 4 ECTS point. 3. Workload related to conducting research: – participation in classes (including research results and scientific studies in the field of statistics) - 15 hours, – participation in scientific consultations - 5 hours, – preparation for laboratories including scientific results: 15 hours, – preparation for final exam including research results and scientific studies in the field of statistics - 5 hours. A total student workload related to the conducted research is 40 hours, which corresponds to 1.60 ECTS point. 4. Time required for the preparation and participation in evaluating process: – - preparation for test – 10 hours, – - preparation for final exam – 10hours, Total time required for the preparation and participation in evaluating process: 20 hours, which corresponds to 0.8 ECTS point. 5. Time required for the practical training completion – not applicable.

Student: W1: knows and understands the definition of random variable and probability - K_B.W25 W2: knows and understands probability distributions of the discrete random variable - K_B.W25 W3: knows moments and central moments of probability distribution of a discrete random variable - K_B.W25 W4: knows cumulative distribution function for the discrete random variable- K_B.W25 W5: knows function of probability density for the continuous random variable- K_B.W25 W6: knows and understands probability distributions of the continuous random variable and has basic knowledge of typical probability distributions- K_B.W25 W7: possesses knowledge about confidence interval- K_B.W25 W8: knows the definition of statistical hypothesis and understands the idea of hypothesis testing- K_B.W26 W9: knows measures of linear correlation and methods of computing parameters of the linear regression-K_B.W25

Student: U1: is able to calculate probability of random variables-K_B.U11 U2: is able to determine moments and cumulative distribution function for basic probability distributions-K_B.U11 U3: is able to compute moments estimators for a statistical sample- K_B.U11 U4: is able to apply statistical tools (Statistica, SPSS, SAS, R)- K_B.U12 U5: is able to determine confidence interval for t-Student distribution K_B.U11 U6: is able to put research statistical hypothesis K_F.U2 U7: is able to compute parameters of the linear regression- K_B.U11

Student: K1: understands the need for self education and enlarging knowledge-K2

Lectures: Expository teaching methods – informative (conventional) lecture, participatory lecture, problem-based lecture Laboratories: Exploratory teaching methods – practical problem solving using professional statistical software Expository teaching methods – discussion, description Observation/demonstration teaching methods

- informative (conventional) lecture

compulsory course

A student starting education in the subject of Statistics should have knowledge of mathematics at the high school level

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

• Description of 1755-F12-STAT-J in USOSweb