Descriptive statistics: arithmetic mean, geometric mean, armonic mean, median, mode, range, sum of squares, variance, standard deviation, standard error, coefficient of variation. Distributions of probability: Z, Student's t, chi square, Fisher's F. Use of the probability tables.
Sampling from a normal distribution: distribution of the means and of the variances of the means. Linear model. Confidence intervals with sigma known or unknown. Test of the hypothesis: definition, concepts and implementation. Errors of type I and II, power of the test. One-tailed and two-tailed tests.
Comparison between two sample means:Student's t test for the comparison between one sample mean and a given value, for the comparison between two sample means, for indenpendent or coupled data.
Comparison between two or more sample means: F test and analysis of variance with one classification factor (ANOVA I). Assumptions of ANOVA. Least significant difference.
Regression and linear correlation: regression equation, variation sources and linear regression, test of hypothesis, correlation coefficient.