Dipartimento di Scienze della Vita e dell'Ambiente - Guida degli insegnamenti (Syllabus)
The course is given through lectures and numerical exercises, in some cases using the Microsoft Excel software and other statistical softwares.
At the end of the course the student will have basic statistics skills to support the experimental activity of a biologist.
Ability to apply the knowledge:
At the end of the course the student will be able to apply basic statistics concepts to experimental data .
Numerical applications stimulate the critical thinking of each student, together with communication skills.
SAMPLES AND DESCRIPTIVE STATISTICS.
INTRODUCTION TO FACTORIAL EXPERIMENTS AND VARIANCE ANALYSIS
LINEAR REGRESSION ANALYSIS
MULTIVARIATE ANALYSIS: CLUSTER ANALYSIS AND PRINCIPAL COMPONENT ANALYSIS
Methods for assessing learning outcomes:
Criteria for assessing learning outcomes:
The student has to show knowledge of subject matter and ability to apply it to simple practical cases.
Criteria for measuring learning outcomes:
The score is given by a number, out of 30 points. The minimum score required for passing the exam is 18.
Criteria for conferring final mark:
The final score is based on the result of the oral examination of the module of Biology Laboratory M-Z and the written examination of the module Statistics for Experimental Sciences M-Z.
Geoffrey R. Norman, David L. Streiner, G. Capelli. Biostatistica. Tutto quello che avreste voluto sapere. Casa Editrice Ambrosiana (2015).