VJEROVATNOĆA I STATISTIKA


Semester: 3
ECTS: 5
Status: Obavezan
Lessons: 3+2+0
Double: Ne
ECTS catalogue
Learning outcomes:

It is expected that after passing the exam Probability and statistics in maritime transport the students will be able to: 1. Describe and interpreted the concept of experiments with random events, operations with events and the concept of field events. 2. Define different conceptions of probability (classical, statistical and geometrical), as well as the concept of conditional probability and by their use to count the probabilities of particular events. 3. To identify and understand the formula of total probability and Bayes’ formula, and apply them to solve various problems. 4. Understand the concept of discrete random variable and identify its type (binomial, geometric, hypergeometric and Poisson distribution). 5. Define a random variable of continuous type and some of its types (uniform, normal and exponential distribution). 6. Solve various tasks (especially in shipping) by using the approximation by normal distribution. 7. Define the concept of population, feature, random sample, simple random sample and the concept of statistics. 8. Understand some significant statistics and identify their parameters. 9. Describe the point estimates of parameters, the method of maximum likelihood and confidence intervals, and apply them as appropriate statistical methods to solve various problems in shipping.

Teaching staff

Name Lectures Exercises Laboratory
ROMEO MEŠTROVIĆ3x1
19B+6S+14P
VLADIMIR IVANOVIĆ2x1
19B+6S+14P

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