To the manual about 100 tasks sanctified to verification of statistical hypotheses are driven. Themes are presented: 1) general properties (statistics of criterion, power of criterion, P- value) | 2) criteria of chance, independence, to homogeneity| 3) criteria of consent (simple hypotheses) | 4) criteria of consent (composite hypotheses) | 5) self-reactance hypotheses.The examples of decision of tasks of verification of hypotheses are taken apart. For the decision of examples the environment of Excel was used, languages of MatCalc (1, 6), R (3) and Python (4).A manual is intended for students, student on directions "Economy", "Management" of and other
Questions and answers
What is the book Practical work on mathematical statistics. Verification of hypotheses with the use of Excel, MatCalc, R and Python about in short?
The book serves as a comprehensive guide to approximately 100 tasks focused on the verification of statistical hypotheses. It covers essential themes such as general properties, criteria of chance, independence, and homogeneity, along with examples solved using Excel, MatCalc, R, and Python, making it a practical resource for students in economics and management.
What is the main idea of the book Practical work on mathematical statistics. Verification of hypotheses with the use of Excel, MatCalc, R and Python?
The main idea of the book is to provide students with practical skills in verifying statistical hypotheses using various software tools. By presenting a variety of tasks and detailed examples, it aims to enhance understanding of statistical concepts and their applications in fields like economics and management, thereby bridging theory and practice.
Who should definitely read the book Practical work on mathematical statistics. Verification of hypotheses with the use of Excel, MatCalc, R and Python?
This book is particularly beneficial for students and professionals in economics, management, and related fields who wish to deepen their understanding of statistical hypothesis testing. It is also suitable for educators looking for practical examples to enhance their teaching, as well as anyone interested in applying statistical methods using popular software tools.
What books is the book Practical work on mathematical statistics. Verification of hypotheses with the use of Excel, MatCalc, R and Python similar to?
Similar books include 'Statistics for Business and Economics' by Newbold, 'Applied Multivariate Statistical Analysis' by Johnson and Wichern, and 'Introduction to the Practice of Statistics' by Moore, McCabe, and Craig. These texts also focus on statistical methods and applications, providing practical examples and exercises relevant to business and economics.
- Name of the Author
- Криволапов Sergey Jakovlevich, Глебов Vladimir Ilich
- Language
- Russian
- ISBN
- 978-5-907100-66-4
- Release date
- 2019
Read an excerpt
03/17/2025
Отличный практикум для изучения статистики
Я остался в полном восторге от "Практикума по математической статистике". Это пособие действительно помогает разобраться в сложных аспектах статистики и проверки гипотез. Особенно впечатляет, как автор использует различные программные средства, такие как Excel, R и Python, чтобы продемонстрировать применение теории на практике. Каждая тема сопровождается большим количеством задач, что позволяет закрепить полученные знания. Я также оценил наличие поясняющих примеров, которые делают материал более доступным. Книга будет полезна не только студентам, но и тем, кто работает в сфере анализа данных. Рекомендую всем, кто хочет углубить свои знания в математической статистике и научиться применять их на практике.