LABORATORY FOR STATISTICS
cod. 13622

Academic year 2009/10
2° year of course - First semester
Professor
Academic discipline
Ecologia (BIO/07)
Field
Discipline di contesto
Type of training activity
Related/supplementary
32 hours
of face-to-face activities
4 credits
hub:
course unit
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Learning objectives

<br /> To provide the basic concept of the statistical data analysis

Prerequisites

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Course unit content

<br />Descriptive statistics: measures of location, measures of spread, properties of the deviance, variance, standard deviation and standard error, coefficient of variation. Grouped data, symmetry and kurtosis.<br />Probability, permutations and combinations, binomial distribution, poisson distribution, ipergeometric distribution, normal distribution, normal approximation. <br />Statistical hypothesis testing. Chi squares goodness of fit for more than two categories, bias and continuity correction. Contingency tables, Fisher exact test, comparing two proportions. <br />One-sample and two-sample hypotheses, confidence limits for the population means and for the populations mean difference; testing for difference between variances.<br />Power and sample size in test concerning the means and difference between two means.<br />Single factor analysis of variance. Two-factor and Three-factor analysis of variance. Two-factor analysis of variance with equal replication. Nested or hierarchical analysis of variance. Multiple comparisons: a priori e post-hoc. Data transformations.<br />Simple linear regression, interpretations of regression functions, testing the significance, confidence intervals in regression. Inverse prediction and calibration.<br />Simple linear correlation, hypotheses about the correlation coefficient. Regression vs. Correlation.<br /> <br /> 

Full programme

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Bibliography

<br />- Sokal, R. R. and F. J. Rohlf (1995). Biometry, 3rd Edition. W. H. Freeman & Co., New York. <br />- Zar, J. (1999). Biostatistical analysis, 4th Edition. Prentice Hall, Upper Saddle River, NJ. 663 p. plus appendices and index.

Teaching methods

<br /> <br />Teaching methodology: Frontal lectures and exercises <br /> <br />Examination method: Oral examination with exercises<br /> <br />Teaching langague: Italian

Assessment methods and criteria

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Other information

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