https://wikicshse.ru/index.php?action=history&feed=atom&title=Statistics_DSBA_2019%2F2020 Statistics DSBA 2019/2020 - История изменений 2026-06-06T11:51:57Z История изменений этой страницы в вики MediaWiki 1.45.3 https://wikicshse.ru/index.php?title=Statistics_DSBA_2019/2020&diff=721&oldid=prev imported>TKuskarov: Migrated current public revision from wiki.cs.hse.ru 2020-06-07T21:45:30Z <p>Migrated current public revision from wiki.cs.hse.ru</p> <p><b>Новая страница</b></p><div>= About =<br /> <br /> This page contains information about Statistics course at DSBA.<br /> <br /> Actual syllabus can be found [https://www.dropbox.com/s/1rxg7910zxakznv/Syllabus%20for%20Statistics%20CS%20HSEv2.pdf?dl=0 here].<br /> <br /> = Teachers and assistants =<br /> <br /> {| class=&quot;wikitable&quot; style=&quot;text-align:center&quot;<br /> |-<br /> ! Group!! БПАД181 !! БПАД182<br /> |-<br /> || Teacher ||colspan=&quot;3&quot;| [https://www.hse.ru/org/persons/14276760 Peter Lukianchenko] <br /> |-<br /> || Assistant || Anastasia Tabisheva || Igor Fedorov<br /> |}<br /> <br /> Questions about homework assignments can be addressed to Tagir (tg @Kuskarov).<br /> == Communication ==<br /> <br /> We use Telegram messenger to share files.<br /> <br /> Link to course channel: [https://t.me/stathard]<br /> <br /> = Lecture notes =<br /> <br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/7k3zzy2dk3nvr0b/DSBA1920_Lect1.pdf?dl=0 Lecture 1]&#039;&#039;&#039; (4.09.2019). Welcome to Statistics!<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/8wdr55jisj0r9tn/DSBA1920_Lect2.pdf?dl=0 Lecture 2]&#039;&#039;&#039; (11.09.2019). Axioms of probability. Basics of combinatorics.<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/9kmgmtv5medbjjf/DSBA1920_Lect3.pdf?dl=0 Lecture 3]&#039;&#039;&#039; (18.09.2019). Random variable. Discrete pdf. Expectation and variance. Bernoulli distribution. Bayes rule.<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/p0mlfstdyuniwm4/DSBA1920_Lect4.pdf?dl=0 Lecture 4]&#039;&#039;&#039; (25.09.2019). Joint discrete distribution. Conditional probability. Covariance. Correlation.<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/afjgt4yby7ghhyg/DSBA1920_Lect5.pdf?dl=0 Lecture 5]&#039;&#039;&#039; (2.10.2019). Continuous distribution. Standard normal distribution. Exponential distribution. Uniform distribution<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/36jqimz0nd9b19t/DSBA1920_Lect6.pdf?dl=0 Lecture 6]&#039;&#039;&#039; (9.10.2019). Normal distribution. Standard normal distribution. Joint distribution. Uniform distribution<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/krcfubc4vka0bl7/DSBA1920_Lect7.pdf?dl=0 Lecture 7]&#039;&#039;&#039; (16.10.2019). Normal distribution. Standard normal distribution. Joint distribution. Uniform distribution.<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/l0aj6dj74yr6a2e/DSBA1920_Lect8.pdf?dl=0 Lecture 8]&#039;&#039;&#039; (06.11.2019). Data representation. Exponential, Poisson, and Uniform<br /> distributions. Continuity correction.<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/oyj9pf5e7onp0j7/DSBA1920_Lect9.pdf?dl=0 Lecture 9]&#039;&#039;&#039; (13.11.2019). Law of large numbers. Distribution of a function of random variable. Distribution of sample proportion. Chi-squared distribution.<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/b0qiaf6q12h79hb/DSBA1920_Lect10.pdf?dl=0 Lecture 10]&#039;&#039;&#039; (18.11.2019). Student distribution. Chi-squared distribution.<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/27s8dyghfllm66r/DSBA1920_Lect11.pdf?dl=0 Lecture 11]&#039;&#039;&#039; (20.11.2019). Sampling. Sample mean. Fisher lemma. Point estimation. F-distribution.<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/qdepsysny726boe/DSBA1920_Lect12.pdf?dl=0 Lecture 12]&#039;&#039;&#039; (27.11.2019). Interval estimation. Confidence interval.<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/h5949riwr3264fm/DSBA1920_Lect13.pdf?dl=0 Lecture 13]&#039;&#039;&#039; (4.12.2019). Confidence interval.<br /> <br /> Too lazy to post links anymore... Look [https://www.dropbox.com/sh/3kxjhhm33x14jkq/AACSuvODHmMXtSrSEpwyvMNoa?dl=0 here] to find other lectures.<br /> <br /> = Grading system =<br /> <br /> Fall = 0.3 * FallMock + 0.6 * WinterExam + 0.05 * FallHomework + 0.05 * FallQuizzes<br /> <br /> Spring = 0.15 * SpringMock + 0.15 * Final exam + 0.65 * UoL + 0.025 * SpringHomework + 0.025 * SpringQuizes<br /> <br /> Final = 0.4 * Fall + 0.6 * Spring<br /> <br /> All marks are out of 100 points.<br /> <br /> == Examination types ==<br /> <br /> *Home assignments and Quizzes<br /> *FallMock (October Midterm)<br /> *WinterExam (December Exam)<br /> *SpringMock (spring)<br /> *University of London exams (May Exam)<br /> *FinalExam (June Exam).<br /> <br /> = Results =<br /> <br /> == Homeworks and Quizes ==<br /> Fall grades: &#039;&#039;&#039;[https://docs.google.com/spreadsheets/d/1KdPJfBwhqji04Lmhh3th6fNc1f_xxSqg5bzbKsN9wQo/edit#gid=0 Link]&#039;&#039;&#039;<br /> <br /> Spring grades: &#039;&#039;&#039;[https://docs.google.com/spreadsheets/d/1xW1fK1IAQGyLc0y64Z18LvS51OPnEXiP6JAdl1t2omI/edit#gid=0 Link]&#039;&#039;&#039;<br /> <br /> == Fall Exam ==<br /> <br /> Results of Fall Exam in group 181: &#039;&#039;&#039;[https://www.dropbox.com/s/lvlkc8yhqfbyb3o/Grades_Oct2019_181.pdf?dl=0 Link]&#039;&#039;&#039;<br /> <br /> Results of Fall Exam in group 182: &#039;&#039;&#039;[https://www.dropbox.com/s/xjfgjvccxiqysq9/Grades_Oct2019_182.pdf?dl=0 Link]&#039;&#039;&#039;<br /> <br /> Free response part solutions are available &#039;&#039;&#039;[https://www.dropbox.com/s/25nrjrgntf6zj1v/FR_solutions.pdf?dl=0 here]&#039;&#039;&#039;.<br /> <br /> == Spring Midterm ==<br /> <br /> Results: &#039;&#039;&#039;[https://docs.google.com/spreadsheets/d/1op3fbexLazdoUPRSMr71Gpy_xBOHjZrIgWrHb9UGLy8/edit#gid=2080905435 Link]&#039;&#039;&#039;<br /> <br /> Free response solutions and criteria: &#039;&#039;&#039;[https://www.dropbox.com/s/cz1md7khlpavezc/fr_solutions.pdf?dl=0 Link]&#039;&#039;&#039;<br /> <br /> = Homework assignments =<br /> <br /> == Rules ==<br /> <br /> *Homework submitted after the general deadline will not be accepted. <br /> *The common mistakes made in the homework will be discussed during the seminars. <br /> *Any fact of cheating or breach of academic integrity will result in receiving a &quot;0&quot; (zero) for this work.<br /> <br /> == Problems ==<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/z9q57bkb8o3cm6t/hw2.pdf?dl=0 Homework 2]&#039;&#039;&#039; until 10:30, 25.09.2019<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/2iw372614hcfa1t/hw3.pdf?dl=0 Homework 3]&#039;&#039;&#039; until 10:30, 9.10.2019<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/kml62ahz0gk1elv/hw4.pdf?dl=0 Homework 4]&#039;&#039;&#039; until 10:30, 16.10.2019<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/9t85bqwkv971mo8/hw5.pdf?dl=0 Homework 5]&#039;&#039;&#039; until 10:30, 13.11.2019<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/x78w28os9a7vb7q/hw6.pdf?dl=0 Homework 6]&#039;&#039;&#039; until 12:00, 19.11.2019<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/v32csk9f8765mzf/hw7.pdf?dl=0 Homework 7]&#039;&#039;&#039; until 15:00, 29.11.2019<br /> <br /> &#039;&#039;&#039;[https://www.dropbox.com/s/rbh70iltd9pfdm7/hw8.pdf?dl=0 Homework 8]&#039;&#039;&#039; until 12:00, 13.12.2019<br /> <br /> Other HWs can be found in the telegram channel or [https://www.dropbox.com/sh/402hu80r27opsom/AACHjOhUBJ36SoiJZb3MMdXLa?dl=0 here].</div> imported>TKuskarov