# Biomathematics 2 - Theory

## Data

Official data in SubjectManager for the following academic year: 2022-2023

### Course director

• #### Dr. Beáta BUGYI

associate professor,
Department of Biophysics

### Number of hours/semester

lectures: 28 hours

practices: 0 hours

seminars: 0 hours

total of: 28 hours

### Subject data

• Code of subject: OPA-B2E-T
• 2 kredit
• Pharmacy
• Natural and Social Sciences modul
• spring
Prerequisites:

OPA-B1E-T completed , OPA-B2G-T parallel

Exam course:

no

min. 1

## Topic

Basic terms and concepts of statistics and their use in solving physical, chemical and biological problems. handling and computer use. The main topics included: descriptive and inferential statistics, exploring data by graphical and numerical means, basic methods for statistical inference.

## Lectures

• 1. Descriptive statistics 1: data, description of data - Dr. Bugyi Beáta
• 2. Descriptive statistics 1: data, description of data - Dr. Bugyi Beáta
• 3. Descriptive statistics 2: data presentation, graphs, charts - Dr. Bugyi Beáta
• 4. Descriptive statistics 2: data presentation, graphs, charts - Dr. Bugyi Beáta
• 5. Probability, probability distributions, discrete random variables (binomial distribution) - Dr. Bugyi Beáta
• 6. Probability, probability distributions, discrete random variables (binomial distribution) - Dr. Bugyi Beáta
• 7. Probability, probability distributions, continuous random variable (normal, standard normal distribution) - Dr. Bugyi Beáta
• 8. Probability, probability distributions, continuous random variable (normal, standard normal distribution) - Dr. Bugyi Beáta
• 9. Hypothesis testing - Dr. Bugyi Beáta
• 10. Hypothesis testing - Dr. Bugyi Beáta
• 11. Z test - Karádi Kristóf Kálmán
• 12. Z test - Karádi Kristóf Kálmán
• 13. Revision 1, midterm test - Karádi Kristóf Kálmán
• 14. Revision 1, midterm test - Karádi Kristóf Kálmán
• 15. T test - Karádi Kristóf Kálmán
• 16. T test - Karádi Kristóf Kálmán
• 17. F test, ANOVA - Dr. Bukovics Péter
• 18. F test, ANOVA - Dr. Bukovics Péter
• 19. Nonparametric tests - Dr. Bukovics Péter
• 20. Nonparametric tests - Dr. Bukovics Péter
• 21. Correlation analysis - Dr. Bukovics Péter
• 22. Correlation analysis - Dr. Bukovics Péter
• 23. Regression analysis - Dr. Bukovics Péter
• 24. Regression analysis - Dr. Bukovics Péter
• 25. Statistical software, programs - Dr. Bugyi Beáta
• 26. Statistical software, programs - Dr. Bugyi Beáta
• 27. Revision 2, end semester test - Dr. Bukovics Péter
• 28. Revision 2, end semester test - Dr. Bukovics Péter

## Seminars

### Literature developed by the Department

Homepage of the Department of Biophysics:
https://aok.pte.hu/en/egyseg/10/oktatasi-anyagok

## Conditions for acceptance of the semester

Maximum of 15 % absence allowed

## Mid-term exams

Two written tests are scheduled during the semester covering the topics/calculations/etc discussed during the lectures. The expected dates: 7th week, 14th week. Based on the average of the two grades obtained for the tests a theory grade is recommended.

< 60% fail (1)
60 – 69% satisfactory (2)
70 – 79% average (3)
80 – 89% good (4)
> 90% excellent (5)

To pass, at least 60% has to be reached at each test.
If the recommended theory grade is accepted that will be the final grade.
In other cases, the theory grade may be obtained during the exams announced in the exam period.

## Making up for missed classes

Maximum 3 absences are allowed. The opportunity to make up for absence is not provided.

## Exam topics/questions

The prerequisite for registering for the theory exam (also for the acceptance of the recommended theory grade) is the passing of the practical test and getting practical grade (> 2).
The theory grade is obtained based on the result of the written exam.
< 60% fail (1)
60 – 69% satisfactory (2)
70 – 79% average (3)
80 – 89% good (4)
> 90% excellent (5)

Topics of the exam questions:
Descriptive statistics; describing data, generating and evaluating data display
Probability, random variable, probability distributions
Principles of hypothesis testing
Parametric and nonparametric tests
Correlation and regression analysis

## Examiners

• Dr. Bugyi Beáta
• Dr. Bukovics Péter
• Dr. Visegrády Balázs
• Karádi Kristóf Kálmán
• Kilián Balázsné Raics Katalin
• Tempfliné Pirisi Katalin Erzsébet
• Zalai Zsófia