Ateneo - UPO

Introduction to basic concepts of population and sample.
Summarizing and presenting categorical data in tables and graphs.
Summarizing and presenting numerical data in tables and graphs.
Measures of central tendency: mean, median, mode.
Measures of variability: standard deviation, coefficient of variation, range, and percentiles.
Sampling (practical approach).
Probability.
Binomial and Gaussian probability distributions.
Properties of the sampling distribution of the mean.
Confidence interval for the sample mean.
Hypothesis testing.
Z-test and standard normal distribution.
t-distribution.
Comparison of means from two independent samples.
Comparison of means from two paired samples.
Analysis of contingency table data: chi-square test.
Data transformation (logarithmic and others).

Fowler et al. - Practical Statistics for the Health Professions. Edises

Alternative text:
Lantieri et al. - Medical Statistics for the Health Professions (2nd ed.) McGraw-Hill 2004

Useful texts for further study:
• M. Pagano & K. Gauvreau. Biostatistics (2nd Italian edition). Ed. Idelson Gnocchi, Naples 2003.
• S.A. Glantz, Statistics for Biomedical Disciplines, McGraw-Hill, 2003.

Acquire skills in describing statistical data:
- understand basic terminology (population, sample, variable, etc.);
- calculate and present frequency distributions;
- describe data using graphical methods;
- calculate indices of central tendency and variability;
- analyze the relationship between two variables;
- transform data.

Provide an introduction to statistical inference:
- evaluate the probability of an event;
- binomial and Gaussian probability distributions;
- properties of the distribution of the sample mean;
- confidence interval and hypothesis testing.

Statistical tests:
- Student's t-test for paired data;
- Student's t-test for grouped data;
- chi-square test
- odds ratio (OR).

In summary, the course aims to provide the necessary foundation for:
reading scientific articles;
the presentation and statistical analysis of simple data sets for further study.

The student must have mathematical knowledge corresponding to the secondary school curriculum.

Presentations in MS-WORD and MS-Power Point formats, and PDF. A short set of solved exercises is provided during the supplementary teaching activity, which are discussed in class.

Written exam, common to the three subjects of the integrated course (Medical Statistics, Physics, Computer Science). The exam includes a combination of multiple choice questions, open questions and calculation exercises.

Written exam, common to the three subjects of the integrated course (Medical Statistics, Physics, Computer Science). The exam includes a combination of multiple choice questions, open questions and calculation exercises.

Introduction to basic concepts of population and sample.
Summarizing and presenting categorical data in tables and graphs.
Summarizing and presenting numerical data in tables and graphs.
Measures of central tendency: mean, median, mode.
Measures of variability: standard deviation, coefficient of variation, range, and percentiles.
Sampling (practical approach).
Probability.
Binomial and Gaussian probability distributions.
Properties of the sampling distribution of the mean.
Confidence interval for the sample mean.
Hypothesis testing.
Z-test and standard normal distribution.
t-distribution.
Comparison of means from two independent samples.
Comparison of means from two paired samples.
Analysis of contingency table data: chi-square test.
Data transformation (logarithmic and others).

The student will be able to understand the main basic notions of statistics and use some statistical tests currently in use within his/her professional field.