Università Roma Tre

Classroom lectures
The scientific method: comparison between theory and experiment. Physical quantities and their measurement. The uncertainties in the measurements of physical quantities. Type A and Type B uncertainties. Measurement tools and their properties. Better estimate of the measure. Estimation of uncertainties.
Measurements, uncertainties and significant figures. Comparison between measure and expected value . Organization and presentation of data. Main properties of probability. Random events, random variables. Definition of probability: classical, frequentist, axiomatic. Total probability, conditional probability, compound probability. Bayes theorem. Statistical population. Sampling. Law of large numbers. Discrete and continuous random variables. Probability distributions. Expected value and variance. Bernoulli distribution. Poisson distribution. Gauss distribution. Probabilistic meaning of the standard deviation. Probability of obtaining a result in a measurement operation. The central limit theorem. Presentation of the result of a measure and confidence intervals. Hypothesis verification. Weighted average. Correlation between physical quantities and verification of the existence of a functional dependence: least squares method. Hypothesis test: Z test, T-Student test, Fisher test, Chi-square test.

Experiments:
Measurements of Lengths. Verification of Boyle-Mariotte law. Experiment for the determination of the spring constant. The pendulum. Measurement of gravitational acceleration with a reversible pendulum. Inclined plane. Verification of the central limit theorem (dice roll - repeated measurements). Verification of the law of radioactive decay (by means of simulation with dice). Verification of the probability distribution of Poisson (by means of Geiger).
.

For exam preparation, students,
in addition to consulting the teaching material made available to students on the teacher's website (http://host.uniroma3.it/laboratori/escher/ESP_I.html)
they can consult the following texts:

(a) Gaetano Cannelli, Metodologie sperimentali in Fisica - Introduzione al metodo scientifico, Terza Edizione 2018, EdiSES, Napoli (ISBN 978 88 7959 679 4)
(c) Diego Giuliani, Maria Michela Dickson, Analisi statistica con Excel, Maggioli Editore (ISBN: 978 88 3878 990 8)

Classroom lectures
The scientific method: comparison between theory and experiment. Physical quantities and their measurement. The uncertainties in the measurements of physical quantities. Type A and Type B uncertainties. Measurement tools and their properties. Better estimate of the measure. Estimation of uncertainties.
Measurements, uncertainties and significant figures. Comparison between measure and expected value . Organization and presentation of data. Main properties of probability. Random events, random variables. Definition of probability: classical, frequentist, axiomatic. Total probability, conditional probability, compound probability. Bayes theorem. Statistical population. Sampling. Law of large numbers. Discrete and continuous random variables. Probability distributions. Expected value and variance. Bernoulli distribution. Poisson distribution. Gauss distribution. Probabilistic meaning of the standard deviation. Probability of obtaining a result in a measurement operation. The central limit theorem. Presentation of the result of a measure and confidence intervals. Hypothesis verification. Weighted average. Correlation between physical quantities and verification of the existence of a functional dependence: least squares method. Hypothesis test: Z test, T-Student test, Fisher test, Chi-square test.

Experiments:
Measurements of Lengths. Verification of Boyle-Mariotte law. Experiment for the determination of the spring constant. The pendulum. Measurement of gravitational acceleration with a reversible pendulum. Inclined plane. Verification of the central limit theorem (dice roll - repeated measurements). Verification of the law of radioactive decay (by means of simulation with dice). Verification of the probability distribution of Poisson (by means of Geiger).
.

Per la preparazione all'esame, gli studenti,
oltre a consultare il materiale didattico messo a disposizione delle studenti sul sito web del docente (http://host.uniroma3.it/laboratori/escher/ESP_I.html)
possono consultare i seguenti testi:

(a) Gaetano Cannelli, Metodologie sperimentali in Fisica - Introduzione al metodo scientifico, Terza Edizione 2018, EdiSES, Napoli (ISBN 978 88 7959 679 4)
(c) Diego Giuliani, Maria Michela Dickson, Analisi statistica con Excel, Maggioli Editore (ISBN: 978 88 3878 990 8)

lassroom lectures
The scientific method: comparison between theory and experiment. Physical quantities and their measurement. The uncertainties in the measurements of physical quantities. Type A and Type B uncertainties. Measurement tools and their properties. Better estimate of the measure. Estimation of uncertainties.
Measurements, uncertainties and significant figures. Comparison between measure and expected value . Organization and presentation of data. Main properties of probability. Random events, random variables. Definition of probability: classical, frequentist, axiomatic. Total probability, conditional probability, compound probability. Bayes theorem. Statistical population. Sampling. Law of large numbers. Discrete and continuous random variables. Probability distributions. Expected value and variance. Bernoulli distribution. Poisson distribution. Gauss distribution. Probabilistic meaning of the standard deviation. Probability of obtaining a result in a measurement operation. The central limit theorem. Presentation of the result of a measure and confidence intervals. Hypothesis verification. Weighted average. Correlation between physical quantities and verification of the existence of a functional dependence: least squares method. Hypothesis test: Z test, T-Student test, Fisher test, Chi-square test.

Experiments:
Measurements of Lengths. Verification of Boyle-Mariotte law. Experiment for the determination of the spring constant. The pendulum. Measurement of gravitational acceleration with a reversible pendulum. Inclined plane. Verification of the central limit theorem (dice roll - repeated measurements). Verification of the law of radioactive decay (by means of simulation with dice). Verification of the probability distribution of Poisson (by means of Geiger).

Per la preparazione all'esame, gli studenti,
oltre a consultare il materiale didattico messo a disposizione delle studenti sul sito web del docente (http://host.uniroma3.it/laboratori/escher/ESP_I.html)
possono consultare i seguenti testi:

(a) Gaetano Cannelli, Metodologie sperimentali in Fisica - Introduzione al metodo scientifico, Terza Edizione 2018, EdiSES, Napoli (ISBN 978 88 7959 679 4)
(c) Diego Giuliani, Maria Michela Dickson, Analisi statistica con Excel, Maggioli Editore (ISBN: 978 88 3878 990 8)