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PALEOBIOGEOGRAFIA, PALEOBIODIVERSITA' E ANALISI DI DATI SPERIMENTALI

Teaching Staff

ROSSANA SANFILIPPO - Module PALEOBIOGEOGRAFIA, PALEOBIODIVERSITA' - GEO/01 - 6 CFU
GIORGIO CONCETTO BELLIA - Module Experimental data analysis - FIS/01 - 3 CFU

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Detailed Course Content

• Experimental data analysis
  

  1 - Measure
  Measurement meaning - unit - reading and measurement sensitivity - type variables - concepts of population (or universe) and sample - sampling planning.
  2 - Data Representation
  Tables - significant items - rounding - graphics - interpolations and extrapolations - linear and logarithmic scales.
  3 - Errors
  Random and systematic errors - absolute error and relative error - direct and indirect measurements - estimation error for an indirect measure - error propagation.
  4 - Indicators of central tendency and variability
  Estimating the value of a quantity - the arithmetic mean and weighted mean - median - mode - the variance - standard deviation of a measure - the standard deviation of the mean.
  5 - Dual Variable
  Correlation and type of correlation - causation and causality - double entry table - marginal frequencies.
  6 - Least Squares
  Linear regression - least squares method - correlation coefficient - correlation and covariance - multiple regression - non-linear correlations.
  7 - Probability and Probability Distributions
  Events - independent events and related events - conditioned events - binomial distribution, Poisson, normal or Gauss - distributions parameters.
  8 - Statistical Hypotheses
  Null hypothesis and alternative hypothesis - significance - confidence interval - hypothesis testing - errors of 1 ° and 2 ° species - parametric tests: Student's t, chi-square, ANOVA, Tukey-Kramer tests q - non-parametric tests: sign test, signed-rank test, rank sum test, Kruskal-Wallis test.
  9 - Multivariate Analysis
  Outline of matrix algebra - elements: principal component analysis - discriminant analysis - agglomerations analysis - factor analysis

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Textbook Information

• Experimental data analysis
  

  1.G. Norman, D Strainer: Biostatistica, quello che avreste voluto sapere …, Casa Editrice Ambrosiana
  2. M.M. Triola, M.F. Triola: Statistica per le discipline biosanitarie, ed Pearson Addison Wesley
  3. AA.VV: Quesiti di Statistica, Maggioli editore

  Students are free to use any text they consider more convenient

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