Tutoring: Statistics

This course aims at introducing the basic concepts of applied statistics including probability, common distributions, descriptive statistics, statistical inference, and data analysis.

This course is designed for our Master's degree students in Entrepreneurship and Innovation at the Department of Economics and Management “Marco Fanno”, University of Padova.
This course is cohort-based, which means that there is an established start and end date, and that you will interact with other students throughout the course.

Students will be grouped according to their background so that one student with some knowledge in Statistics will study with three or four students without knowledge in Statistics.

Required Materials
• Book: OpenIntro Statistics, Diez, Barr and Cetinkaya-Rundel, third edition, 2015. Download the book here (for free)
• Course notes available on Moodle (link).

Prerequisites
Students are strongly recommended to read the following documents in advance:
• OpenIntro Statistics, chapters: 1, 2, 3, (section 3.1), 4, 5 (sections 5.1, 5.2, 5.3), 6 (sections 6.1, 6.2, 6.3, 6.4), 7, 8.
• Online course: STAT 500-Applied Statistics, https://onlinecourses.science.psu.edu/stat500/1

Course Objectives
At the end of this course, students will be able to:
1. Understand the role of statistics in doing the research.
2. Read and understand the statistical concepts from reports and papers.
3. Master the statistical methods to summarize and analyze data: descriptive statistics, confidence interval for population mean and proportion, hypothesis testing, Chi-square test for independence, linear regression model.
4. Interpret results from various computer packages (R, SPSS, SAS) and be able to perform appropriate statistical techniques.

Schedule
The schedule is tentative and subject to change. 

Venue: All the lectures will be held at Department of Economics and Management “Marco Fanno”, University of Padua, Via Ugo Bassi 1, 35131, Padua, Italy - room 44. The course is available live in Zoom at the same time.

Lecture 01, 21/09, from 10.30 am to 12.30 pm at room 44

Lecture 02, 22/09, from 10.30 am to 12.30 pm at room 44

Lecture 03, 28/09, from 10.30 am to 12.30 pm at room 44

Lecture 04, 30/09, from 14.30 to 16.30 pm at room 44

Lecture 05, 5/10, from 08.30 to 10.30 am at room 44

Lecture 06, 7/10, from 14.30 to 16.30 pm at room 44

Lecture 07, 12/10, from 08.30 to 10.30 am at room 44

Lecture 08, 14/10 from 14.30 to 16.30 pm at room 44

Lecture 08, 19/10 from 08.30 to 10.30 am at room 44

Lecture 08, 21/10 from 14.30 to 16.30 pm at room 44

Professor: Thien Phuc Tran, Ph.D student
E-mail: thienphuc.tran@studenti.unipd.it

For further information:
Segreteria Didattica Dipartimento di Scienze Economiche e Aziendali "M. Fanno"
Via Ugo Bassi, 1 Padova
tel. 049 827 1230
didattica.economia@unipd.it