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دانلود کتاب Quantitative Social Science: An Introduction
دانلود کتاب علوم اجتماعی کمی: مقدمه
مشخصات کتاب
Quantitative Social Science: An Introduction
ویرایش: Hardcover
نویسندگان: Kosuke Imai
سری:
ISBN (شابک) : 0691167036, 9780691167039
ناشر: Princeton University Press
سال نشر: 2018
تعداد صفحات: 439
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 12 مگابایت
قیمت کتاب (تومان) : 54,000
در صورت تبدیل فایل کتاب Quantitative Social Science: An Introduction به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب علوم اجتماعی کمی: مقدمه نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
توضیحاتی در مورد کتاب علوم اجتماعی کمی: مقدمه
توضیحاتی درمورد کتاب به خارجی
An introductory textbook on data analysis and statistics
written especially for students in the social sciences and
allied fields
Quantitative analysis is an increasingly essential skill for
social science research, yet students in the social sciences
and related areas typically receive little training in it--or
if they do, they usually end up in statistics classes that
offer few insights into their field. This textbook is a
practical introduction to data analysis and statistics written
especially for undergraduates and beginning graduate students
in the social sciences and allied fields, such as economics,
sociology, public policy, and data science.
Quantitative Social Scienceengages directly with
empirical analysis, showing students how to analyze data using
the R programming language and to interpret the results--it
encourages hands-on learning, not paper-and-pencil statistics.
More than forty data sets taken directly from leading
quantitative social science research illustrate how data
analysis can be used to answer important questions about
society and human behavior.
Proven in the classroom, this one-of-a-kind textbook features
numerous additional data analysis exercises and interactive R
programming exercises, and also comes with supplementary
teaching materials for instructors.
Written especially for students in the social sciences and
allied fields, including economics, sociology, public policy,
and data science
Provides hands-on instruction using R programming, not
paper-and-pencil statistics
Includes more than forty data sets from actual research for
students to test their skills on
Covers data analysis concepts such as causality, measurement,
and prediction, as well as probability and statistical
tools
Features a wealth of supplementary exercises, including
additional data analysis exercises and interactive programming
exercises
Offers a solid foundation for further study
Comes with additional course materials online, including notes,
sample code, exercises and problem sets with solutions, and
lecture slides
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