Stephen Peplow / Стивен Пеплау - Business Statistics With Excel And Tableau / Коммерческая Статистика с Эксель и Табло [2014, PDF, ENG]

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Post 21-Mar-2018 21:40

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Business Statistics With Excel And Tableau / Коммерческая Статистика с Эксель и Табло
Год издания: 2014
Автор: Stephen Peplow / Стивен Пеплау
Жанр или тематика: Статистика, Excel, Tableau
Издательство: Самиздат
Язык: Английский
Формат: PDF
Качество: Перепечатанные страницы
Интерактивное оглавление: Нет
Количество страниц: 137
Описание: A hands-on guide with screen-casts and data.
This is a book both for students grappling with a stats course and people in business who need to make decisions using their own data. Features are screencasts specially made to accompany the book, both for Excel and Tableau. This is a very hands-on book---the only way to learn. I struggled hard to learn stats, and I hope this book will be of...
Практическое справочное руководство с иллюстрациями и данными.
Это практическая книга для изучения статистики. Книга и для новичков, и для тех, кто принимает решения на основе данных.

Примеры страниц


Оглавление

1. Why I wrote this book
2. Samples and populations
3. Notation
4. Variance and standard deviation
5. Hypothesis Writing and Testing
6. Visualization and Tableau: telling (true) stories with data
7. Data and how to get it
7.1 Big data
7.2 Some useful sites
8. Testing whether two or more quantities are the same or different
8.1 ANOVA
9. Testing whether two or more quantities are the same or different
9.1 ANOVA
10. Regression: Predicting with continuous variables
11. Checking your regression model
11.1 Statistical significance
12. Time Series Introduction and Smoothing Methods
13. Time Series Regression Methods
13.1 Quantifying a linear trend in a time series using regression
14. Optimisation
14.1 Optimisation in Excel (with the Solver add-in)
15. More complex optimisation
16. Predicting items you can count one by one
16.1 Predicting with the Poisson distribution
17. Choice under uncertainty
18. Accounting for risk-preferences
18.1 Where do the utility numbers come from?
18.2 Converting an expected utility number into a certainty equivalent.
19. Writing up your findings
19.1 Plan of attack. Follow these steps.
19.2 Presenting your work
20. Glossary
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