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[Coursera / Princeton University] Статистика I / Statistics One [2012, Математика, WEBRip, ENG] (Видеоурок)

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Post 19-Dec-2012 01:24


Статистика I / Statistics One
Страна: USA
Тематика: Математика
Тип раздаваемого материала: Видеоурок
Продолжительность: 13:31:52
Год выпуска: 2012
Производитель: Coursera / Princeton University
Язык: Английский
Перевод: Субтитры
Язык субтитров: Английский
About the Course
Statistics One is designed to be a friendly introduction to very simple, very basic, fundamental concepts in statistics. This course is, quite literally, for everyone. If you think you can't learn statistics, this course is for you. If you had a statistics course before but feel like you need a refresher, this course is for you. Statistics One also provides an introduction to the R programming language. All the examples and assignments will involve writing code in R and interpreting R output. R software is free! It is also an open source programming language. What this means is you can download R, take this course, and start programming in R after just a few lectures. Statistics may seem like a foreign language, and in many ways it is. The ultimate goal of Statistics One is to get people all over the world to speak this language. So consider this your first course in a new and exciting universal language!

Перевод описания на русский язык

ХЗ, как оценят перевод: у меня вообще тройка была в универе.
Курс Статистика I очень простой и годится даже для тех кто, ничего о статистике не знает. Также в курс включили введение в программирование на языке R. Курс научит весь Мир говорить на языке статистики!


Course Syllabus
Week One: Random sampling and assignment. Distributions.
Week Two: Descriptive statistics. Measurement.
Week Three: Correlation. Causality.
Week Four: Multiple regression. Ordinary least squares.
Week Five: Confidence intervals. Statistical power.
Week Six: t-tests, chi-square tests. Analysis of Variance.

Доп. информация:

About the Instructor(s)
Professor Andrew Conway is a Senior Lecturer in the Department of Psychology at Princeton University. He has been teaching introduction to statistics for undergraduate students and advanced statistics for graduate students for 16 years. The first 8 years of his teaching career were at the University of Illinois in Chicago. He has been at Princeton since 2004. Professor Conway is originally from upstate New York and did his undergraduate work at Union College in Schenectady, NY where he majored in Psychology and Computer Science. For graduate school, Professor Conway attended the University of South Carolina where he earned a Masters degree and Ph.D. in Experimental Psychology with a minor in Statistics. Professor Conway also maintains an active research program and is the Principal Investigator of the Human Working Memory Lab in the Psychology Department at Princeton. He and his graduate students investigate the cognitive and neural mechanisms underlying memory, attention, and intelligence. This work has resulted in over 40 publications in various journals in Psychology and Neuroscience. He is also an Associate Editor for the Journal of Cognitive Psychology.
Качество: WEBRip
Формат: MP4
Видео кодек: MPEG1
Аудио кодек: AAC
Системные требования: Windows 95, Pentium II, 64 Mb RAM, 32 Mb VIdeo RAM, 2.29 Gb
Видео: MPEG4 Video (H264) 960x540 29.97fps 319kbps
Аудио: AAC 44100Hz stereo 126kbps


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