# Statistics DSBA 2021/2022

(разн.) ← Предыдущая | Текущая версия (разн.) | Следующая → (разн.)
Перейти к: навигация, поиск

## Содержание

Actual syllabus can be found here.

# Teachers and assistants

Group БПАД201 БПАД202 БПАД203 БПАД204
Teacher Peter Lukianchenko
Assistant Ivanov Anton Varvara Erinova Egor Nikitin Kseniia Shilova

# Communication

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

# Lecture notes

Lecture 1 (01.09.2021). Welcome to Statistics!

Lecture 2 (08.09.2021). Axioms of probability. Basics of combinatorics. Geometric probability.

Lecture 3 (15.09.2021). Random variable. Discrete pdf. Expectation and variance. Bernoulli distribution. Bayes rule.

Lecture 4 (22.09.2021). Joint discrete distribution. Conditional probability. Covariance. Correlation.

Lecture 5 (29.09.2021) Covariance. Correlation. Continuous distribution.

Lecture 6 (06.10.2021) Continuous distribution.

Lecture 7 (13.10.2021) Normal distribution. Standard normal distribution. Joint distribution. Uniform distribution.

Lecture 8 (27.10.2021) Data representation. Exponential, Poisson, and Uniform distributions. Continuity correction.

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

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.