Просмотр исходного текста страницы Statistics DSBA 2021/2022

= About =

This page contains information about Statistics course at DSBA.

Actual syllabus can be found [https://www.dropbox.com/s/1rxg7910zxakznv/Syllabus%20for%20Statistics%20CS%20HSEv2.pdf?dl=0 here].

= Teachers and assistants =

{| class="wikitable" style="text-align:center"
|-
! Group!! БПАД201 !! БПАД202 !! БПАД203 !! БПАД204
|-
|| Teacher ||colspan="4"| [https://www.hse.ru/org/persons/14276760 Peter Lukianchenko] 
|-
|| Assistant || Ivanov Anton || Varvara Erinova || Egor Nikitin || Kseniia Shilova
|}

If you feel like something is missing from this page, please feel free to ping [https://t.me/axycity Axyniia].

= Communication =

We use Telegram messenger to share files and Zoom meetings links.

Link to course channel: [https://t.me/stathard20 click]

= Lecture notes =


'''[https://www.dropbox.com/s/9rfctx62918trey/1%20Lect%20Sept1_d.pdf?dl=0 Lecture 1]''' (01.09.2021). Welcome to Statistics!

'''[https://www.dropbox.com/s/ttiuqmi7nu9e641/Lecture%202.pdf?dl=0 Lecture 2]''' (08.09.2021). Axioms of probability. Basics of combinatorics. Geometric probability.

'''[https://www.dropbox.com/s/26t4yx47iijxmq9/3.%20Stat_3%20%28ppt%2097-2003%29_d.pdf?dl=0 Lecture 3]''' (15.09.2021). Random variable. Discrete pdf. Expectation and variance. Bernoulli distribution. Bayes rule.

'''[https://www.dropbox.com/s/41sobtq08y48947/4%20Lecture%20.pdf?dl=0 Lecture 4]''' (22.09.2021). Joint discrete distribution. Conditional probability. Covariance. Correlation.

'''[https://www.dropbox.com/s/1q0ac1abnpw9tne/5%20Statistics_Lect%20sept%2029_done%20%20-%20%20Compatibility%20Mode.pdf?dl=0 Lecture 5]''' (29.09.2021) Covariance. Correlation. Continuous distribution.

'''[https://www.dropbox.com/s/usyhdpte0uoakjf/6%20Lecture.pdf?dl=0 Lecture 6]''' (06.10.2021) Continuous distribution.

'''[https://www.dropbox.com/s/xvcmqibbyw22y7k/Lecture%207.pdf?dl=0 Lecture 7]''' (13.10.2021) Normal distribution. Standard normal distribution. Joint distribution. Uniform distribution.

'''[https://www.dropbox.com/s/ry3emtfy2f6z4md/8%20Lecture%20.pdf?dl=0 Lecture 8]''' (27.10.2021) Data representation. Exponential, Poisson, and Uniform distributions. Continuity correction.

'''[https://www.dropbox.com/s/s4gnj126k1qb2wt/9%2010%20Lecture.pdf?dl=0 Lectures 9-10]''' (2-3.11.2021) Law of large numbers. Distribution of a function of random variable. Distribution of sample proportion. Chi-squared distribution.

= Seminar notes =

= Hometask =

= Grading system =

Interim assessment (1 module)

0.7 * FallMock (October Midterm) + 0.3 * First module Home assignments

Interim assessment (4 module)

0.17 * 2nd-4th module Home assignments + 0.09 * FinalExam (June Exam) + 0.16 * Interim assessment (1 module) + 0.12 * SpringMock (Spring Midterm) + 0.3 * University of London exams (May Exam) + 0.16 * WinterExam (December Exam)

All marks are out of 100 points.

== Rules ==

*Homework submitted after the general deadline will not be accepted. 
*The common mistakes made in the homework will be discussed during the seminars. 
*Any fact of cheating or breach of academic integrity will result in receiving a "0" (zero) for this work.