STATISTICS
cod. 1004843

Academic year 2012/13
1° year of course - First semester
Professor
Academic discipline
Statistica medica (MED/01)
Field
Scienze propedeutiche
Type of training activity
Basic
16 hours
of face-to-face activities
2 credits
hub: -
course unit
in - - -

Integrated course unit module: CHEMICAL-PHYSICAL AND EXPERIMENTAL SCIENCES

Learning objectives

Understanding of biostatistics applied to occupational medicine. The
software OPENSTAT will be also used to apply the examples, with the aim to
make the students able to perform base statistics with a freeware software.

Prerequisites

Knowledge of basic mathematics, basic knowledge of English

Course unit content

Definition of statistics. The types of biostatistical studies. Descriptive
statistics: qualitative and quantitative variables. Measures of central
tendency, dispersion, symmetry for quantitative variables. Arithmetic mean,
median, mode.
The normal and non-normal distribution. Skewness and Kurtosis.
Kolmogorov-Smirnov’s e Shapiro-Wilk’s tests. Elements about binomial and
Poisson distributions.
Parametric and Non-Parametric Inferential statistics. The sampling theory
and central limit theorem. Hypothesis test on a mean. Constraints and
degrees of freedom. T-Student distribution. Repeated and independent
measures t-student test. Non-parametric test. The rank. Mann-Whitney’s and
Wilkoxon’s tests. The frequency for categorical/qualitative variables. The
sampling of categorical variables. 2*2 contingency tables. Chi-square test
for independent data. Screening test: prevalence, sensitivity, specificity,
positive and negative predictive values, LR+/-.
Difference between correlation and regression. Simple linear regression.
Correlation coefficient R. Pearson’s and Speraman’s tests.

Full programme

As reported in Contents.

Bibliography

Classroom notes, any basic Statistics textbook.

Teaching methods

Classroom lectures

Assessment methods and criteria

Written tests

Other information

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