Agnieszka Oblakowska-Mucha AGH, WFiIS

Erazmus

Tutorials are organised as an online e-learning course

30th of April: metting at 5 pm on AGH e-learning platform: here. Check the access NOW!
Laboratory will be held in May on-line on AGH platform. Instal a free 30-day Trial of Statgraphics program: from here .
You can also use the online vesion of Statgraphics (Stratus) that runs in your web browser, both for OS and Windows. See the description: here and scroll down for manual. Register to have an unlimited access.
In case of problems with communication we can use again Google Meet aplication: this site.
This course consists of the lecture, tutorial and laboratory.
The slides of the lecture can be found in Tomasz Szumlak's web page
To pass the course you need to attend the tutorial and laboratory, pass the final test and write the lab report. It is rather impossible to pass the course without listening to the lectures.
If you want to learn more, see the course: here and especially the OpenStax textbook.

TUTORIALS and LABORATORIES Thursday 9:40-11:10 D10, room 225
5.03	Basic Definition and Concepts Tutorial_1.pdf
19.03 (eL)	Conditional Probability, Bayes Theorem Tutorial_2.pdf Solutions: Tutorial_2 notes.
26.03 (eL)	Random variable, probability distribution Tutorial_3.pdf Solutions: Tutorial_3 notes.
2.04 (eL)	Joint distributions Tutorial_4.pdf Solutions: Tutorial_4 notes.
9.04 (eL)	Joint distributions Tutorial_4.pdf cont. Normal and Binomial distribution Tutorial_5.pdf Solutions: Tutorial_5 notes. Statistical Tables
16.04 (eL)	Central Limit Theorem Tutorial_6.pdf Solutions: Tutorial_6 notes.
23.04 (eL)	Normal and other problems Tutorial_6a.pdf Solutions: Practice Tutorial notes.
30.04 (UPEL)	Laboratory - Introduction Lab_1.pdf
7.05 (UPEL)	Confidence intervals and Hypothesis testing Tutorial_7.pdf Homework (dealine is 21st of May, upload into UPEL) is here!
14.05 (UPEL)	Laboratory Lab_2.pdf data: Height_data.txt
21.05 (UPEL)	Laboratory & Tutotal 7 cont notes to Tutorial 7
28.05 5 pm (UPEL)	Final test online

Introduction to Probability, Statistics and Data Handling - summer semester 2020