Academic Year 2019/2020

  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: Single cycle degree programme (LMCU) in Veterinary Medicine (cod. 8617)

Learning outcomes

Students will acquire basic knowledge of statistics, in particular as regards its biological applications; students will be able to understand simple statistical tests.

Course contents

Introduction

Statistics: definition and purpose.

Descriptive statistics:

qualitative and quantitative variables
arithmetic mean
deviance, variance, standard deviation

linear trasformations and standardization
frequency distributions and graphics

Inference:

probability (outlines); definition of Random variable

confidence intervals of the mean

definition and use of statistical tests, null hypothesis and p-value

Chi-square test

Readings/Bibliography

Fundamental:

  • Text drawn-up by the teacher, availablein Moodle platform

Additional:

  • Whitlock e Schluter -  Analisi Statistica dei Dati Biologici. Zanichelli.
  • Andrea Petrucci - Compendio di statistica. Maggioli editore.


Materials uploaded in Moodle platform (https://iol.unibo.it/)

Teaching methods

Class lessons and simple problem solving.

The attendance at lectures and practical problem solving activities, while not influencing in any way the final evaluation, is extremely useful to facilitate the learning process.

Assessment methods

The evaluation of students consists of a preliminary written test followed by an oral examination

Due to the COVID19 emergency, the exam will be carried out only orally, on Teams platform until undefined data.

·        Written test

o      Written test is aimed to verify the comprehension of simple questions and the knowledge of the basic notions required for the admission to the oral examination.

o      The test is individual and consists of an odd number (usually 7) of questions; the student will pass the test if correct answers are more than 50%. The time for the written test should be approximately 30-45 minutes.

o      During the test, students can use pocket-calculators, personal notes and books. Computers, phones and other similar tools are not allowed.

·        Oral examination:

o      Students will enter oral examination after passing the written test.

o      Oral examination will be aimed to assess the student achievement of course objectives, with special emphasis on understanding and communication skills.

o      It will consist of at least one question ranging on the covered topics in order to evaluate the capacity of synthesis and independent judgment of the student.

Final evaluation:

The test is passed if the student, during the oral examination, shows sufficient understanding and knowledge of the topics of the course, also by discussing the answers to the questions of the written test.

The notions of descriptive statistics and
the ability to correctly interpret and formulate the null hypotesis and the interpretation of the results of a statistical test are fundamental.

The final evaluation will take into account 30% of the concepts acquired, 20% of the expressive skills and 50% of the acquisition and understanding of the concepts and connections between the various parts of the course.

the notions of descriptive statistics dealt with
the ability to correctly interpret the formulation of the hypothesis and the interpretation of the results of a statistical test

The FINAL VOTE of the integrated course will be calculated as arithmetic mean between the results of the Statistics and Applied Physics tests; if the arithmetic mean is not an integer, verbalizable, the rounding will be carried out considering as predominant the test relative to the teaching with the greatest number of credits (Applied Physics).

"LODE" will be recognized if:

at least in one course the student has been evaluated with honors and in both courses the points achieved are 30/30.

 

 

 

Teaching tools

Blackboard, computer, slides, clickers/moodle quiz.

Links to further information

https://corsi.unibo.it/magistralecu/MedicinaVeterinaria/sillabi-primo-anno

Office hours

See the website of Laura Stancampiano