Statistics Lab

Dear students,

Yesterday, we completed the last chapter of the course script. We will meet once more in a plenum, where one part will be an impulse talk about "Real-World Statistics", and the second part will be an open exam Q&A. You can expect to learn a little about pitfalls when applying statistics to real-world problems from the talk. For the Q&A, we expect you to come up with concrete questions. With concrete, we mean that for instance:

• "I didn't understand Chapter 4, could you repeat it" is not concrete enough and will not be answered.
• "Why is computing the p-value instead of fixing an α better?" is concrete, and we are happy to elaborate.

This session happens on Mo, July 17th, at the usual time and place.

Best regards,
The StatsLab Team

Dear students,

Unfortunately, the planned "Data Science Project" could not be set up in time and with adequate quality. While we think it is essential that you practice working with Python and data analysis libraries, we are not convinced that the current state of the project assignment provides a helpful learning environment.

Hence, you automatically passed the project assignment / can consider the project void.

Best regards,
The StatsLab Team

Dear students,

Thank you for giving feedback to the tutors during the colloquia. We feel that some of them should be globally addressed because it seems there are misunderstandings. The following has feedback (F) and answers (A).

F: Lecture notes as PDF would be better.
A: You can "Print as PDF" in your browser. Web-based solutions have the benefit that they scale to different screen sizes (which is not so much the case with PDF).

F: Too much text on slides. Can we get the slides beforehand?
F: There are examples in the slides that are not in the lecture notes, and it would be great if they could be added.
A: As of last week, we upload the script before the lecture. Note that the content is structured as follows: there is a Jupyter notebook with all the content. The notebook is fully (!) converted to the script that we serve on the web. A (rather large) subset of the notebook is shown in the lecture. Hence, there cannot be examples in the slides that are not in the script.

F: The book is easy to follow, but there are no concrete definitions.
A: This is not correct. We give quite some definitions (e.g. probability, mutual independence, etc.).

F: Having breaks in the lecture is nice, they should be 5 minutes instead of 3.
A: Normal lectures give 90 min of content in a 105 min slot (if you assume c.t.). The 08:30 slot is special, so there is actually no time for breaks, but we're still doing them because they make sense (and support learning). Longer breaks mean that there is more content that was not discussed in the lecture and is left for self-study.

Finally, further feedback on the lecture's style and pace has been noted, and we are trying to adjust. Thank you all for giving feedback.

Best regards,
The StatsLab Team

Dear Students,

we will offer two weekly office hours for you to asks questions, discuss the topics of the lecture with your tutors, or solve the exercises together.

The office hours take place on Tuesdays and Thursdays from 12:15 to 13:45. On tuesdays, we will meet in E1 3 in seminar room 107, and on Thursdays in seminar room 015.

Kind regards
Your StatsLab Team

Dear Students,

the colloquium assignments have been published. You can find your assigned time slot and tutor in your Personal Status page in the CMS. Note that the CMS refers to colloquia as tutorials. If you scroll further further, you will find a heading "Colloquium" where you can find the forum contact information of your group members to get in touch.

Please note that, in favor of time slot preferences, not all group preferences could be realized.

The colloquia will begin this week with Colloquium A on Wednesday.

Kind regards
Your StatsLab Team

Dear students,

we switched to web-based exports of the introduction slide deck and the lecture script. These materials are protected using a name and password that you find in the materials section (we only give it for the intro lecture, but it is the same for all slide decks/chapters).

Regards,
The StatsLab Team

Dear Students,

You can now enter your colloquia preferences on your Personal Status page in the CMS. 

To attend the colloquia, you can form teams of up to four members by (1) creating a new team or (2) joining an existing team by using its invite code.
Additionally, we ask you to provide your availability for each individual colloquium slot. Please choose preferred for your preferred time slot(s), choose okay for not preferred time slots. Only choose not okay if you have an academic event in the time slot that prevents you from attending that colloquium slot. We will try to respect your preferences in a best-effort attempt.

The course registration closes temorrow, on April 18, 23:59. You can form groups and update your colloquium preferences until April 20, 23:59.

You can now find the Training Sheet A in the Materials section of the CMS. The lecture notes will be made available there shortly.

Kind regards,
Your StatsLab Team