Bi5040c Biostatistics - practices

Faculty of Science
Autumn 2020
Extent and Intensity
0/1/0. 1 credit(s) (fasci plus compl plus > 4). Type of Completion: z (credit).
Taught online.
Teacher(s)
Mgr. Klára Benešová (seminar tutor)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
Mgr. Renata Chloupková (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
Mgr. Ivana Katinová (seminar tutor)
RNDr. Denisa Krejčí (seminar tutor)
RNDr. Jan Mužík, Ph.D. (seminar tutor)
RNDr. Tereza Nečasová (seminar tutor)
Mgr. Ondřej Ngo (seminar tutor)
RNDr. Lucie Pehalová (seminar tutor)
RNDr. Michal Svoboda (seminar tutor)
Mgr. Jan Švancara (seminar tutor)
Mgr. Michal Uher (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
RECETOX - Faculty of Science
Contact Person: RNDr. Jiří Jarkovský, Ph.D.
Supplier department: RECETOX - Faculty of Science
Timetable of Seminar Groups
Bi5040c/01_1: Thu 8:00–9:50 D29/347-RCX2, J. Jarkovský
Bi5040c/01_2: Thu 8:00–9:50 D29/347-RCX2, J. Jarkovský
Bi5040c/02_1: Thu 10:00–11:50 D29/347-RCX2, J. Jarkovský
Bi5040c/02_2: Thu 10:00–11:50 D29/347-RCX2, J. Jarkovský
Bi5040c/03_1: Fri 8:00–9:50 D29/347-RCX2, J. Jarkovský
Bi5040c/03_2: Fri 8:00–9:50 D29/347-RCX2, J. Jarkovský
Prerequisites
NOW ( Bi5040 Biostatistics - basic course )
Bi5040 Biostatistics in the same semester.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 7 fields of study the course is directly associated with, display
Course objectives
The course is basic introduction into practical data analysis for students of biology and clinical study specialisations. The course accompanies lectures of Bi5040 Biostatistics and shows the computation of presented methods on PC using statistical software (descriptive statistics, one sample and two sample tests, categorical data analysis, ANOVA, correlation and regression analysis, data visualisation, basics of experimental design).
Learning outcomes
The students will be able after the course to use the folowing data analysis methods:
Descriptive statistics, data visualisation.
Tables of distribution functions.
Introduction to sampling design and experimental design.
Distribution of continuous and bivariate variables.
Application of binomial distribution in biology.
One sample testing.
Two sample testing.
Application of goodness-of-fit test in biology.
Analysis of variance (ANOVA), non - parametric ANOVA.
Corelation, linear regression.
Syllabus
  • Introduction to statistics, testing of hypotheses.
  • Tables of distribution functions. Sampling from biological populations, data processing.
  • Introduction to sampling design. Continuous, ordinal and nominal data in biology.
  • Distribution of continuous and bivariate variables - testing of hypotheses, graphical methods.
  • Application of binomial distribution in biology.
  • One sample testing: sample mean, median, standard deviation, variance, binomial p.
  • Two sample testing. Parametric and non - parametric methods.
  • Application of goodness-of-fit test in biology, analysis of R x C contingency tables, discrimination of categorical data.
  • Covariance, correlation coefficients.
  • Analysis of variance (ANOVA), non-parametric ANOVA alternatives.
  • Linear regression.
Literature
    recommended literature
  • Petrie, A., Watson, P. (2006) Statistics for Veterinary and Animal Science, Wiley-Blackwell; 2nd ed
  • Zar, J.H. (1998) Biostatistical analysis. Prentice Hall, London. 4th ed.
  • Sokal, R.R., Rohlf, F.J. (1994) Biometry, W. H. Freeman, 3th ed.
Teaching methods
Practical training using computers and Microsoft Teams.
Assessment methods
Exam on computers based on correct application of statistical methods on example data.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is also listed under the following terms Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2020/Bi5040c