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Kreutzwaldi 62, A-213
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Loengukursused -> Matemaatiline statistika ja modelleerimine
Mathematical statistics and
modelling
[Matemaatiline
statistika ja modelleerimine] ![](../est.gif)
(DK.0007; 5 EAP; autumn; A)
EMÜ
Doctoral School
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LECTURE
SLAIDS (in Estonian)
- Nature
of statistics; data and traits; population and sample [slaids]
- Descriptive
statistics [slaids]
- Theoretical
background - theoretical distributions, estimation, accuracy
of estimates (tolerance and confidence interval, standard
error) [slaidid]
- Hypothesis
testing; comparison of two groups - t-tests and nonparametric
tests [slaids]
- Relationships
between numerical variables - correlation and regression analyses
[slaids]
- Relationships
between categorical variables - chi-square test, Fisher exact
test; odds ratio [slaids]
- Multiple
comparisons. Analysis of variance, analysis of covariance[slaids]
- General
linear models (models equations, contrasts, least square means,
random factors, mixed models) [slaids]
- Analyses
of binary traits (logistic regression, ROC-curves) [slaids]
- Multivariate
analyses (cluster analysis, principal components analysis,
...) [slaids]
- Power
analysis, sample size calculation [slaids]
- Statistics
in scientific papers [slaids]
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