Statistics 0600-S1-CM-S

1. General characteristics of statistics. Basic statistical concepts
2. Descriptive statistics: Graphical representation of data
3. Descriptive statistics: Measures of central tendency, variability, and asymmetry
4. Probability
5. Random variables and their distributions
6. Statistical inference: Estimating unknown parameters of the population
7. Statistical inference: Testing statistical hypotheses
8. Correlation of quantitative variables. Linear regression
9. Analysis of variance

Total student workload

Total student workload: With lecturer: 60 h - lectures: 10 h - tutorials: 20 h - consultations: 30 h Individual work: 15 h - preparation for classes, reading literature: 5 h - preparation for colloquium and exam: 10 h

Learning outcomes - knowledge

W1 - The student knows the basic concepts and methods of descriptive and mathematical statistics (K_W02). W2 - The student knows the basics of probability to describe a simple random experiment and perform statistical inference (K_W02).

Learning outcomes - skills

U1 - The student is able to use his knowledge in solving problems and issues in the field of statistics (K_U02). U2 - The student is able to use appropriate statistical methods and probability theory (K_U02). U3 - The student understands the need for further self-improvement and supplementing his knowledge in the field of statistics (K_U09).

Learning outcomes - social competencies

K1 - The student is aware of the limitations of his own knowledge provided in the field of statistics (K_K01).

Expository teaching methods

- informative (conventional) lecture

Exploratory teaching methods

- practical

Type of course

compulsory course

Prerequisites

Elementary mathematics, especially arithmetic and probability

Course coordinators

Mariusz Pawlak

Assessment criteria

Assessment methods:
- lectures: written exam (W1, W2, U1, U2, U3, K1)
- tutorials: written colloquium (U1, U2)
Assessment criteria:
0-50% - fail (2)
50-60% - satisfactory (3)
61-65% - satisfactory plus (3+)
66-75% - good (4)
76-80% - good plus (4+)
81-100% - very good (5)

Practical placement

Not applicable

Bibliography

1. S. M. Ross, Introductory Statistics, Elsevier, 2010.
2. D. Freeman, R. Pisani, R. Purves, Statistics, W. W. Norton & Company, Inc., 2007.
3. J. McClave, T. Sincich, Statistics, Pearson Education Limited, 2018.
4. J. Miller, J. Miller, Statistics and chemometrics for analytical chemistry, Pearson Education Limited, 2010.

Additional information

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

Description of 0600-S1-CM-S in USOSweb