Applied Statistics with Python
Volume I: Introductory Statistics and Regression
- Publisher's listprice GBP 89.99
-
45 543 Ft (43 375 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 4 554 Ft off)
- Discounted price 40 989 Ft (39 038 Ft + 5% VAT)
45 543 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 2 March 2025
- ISBN 9781032751931
- Binding Hardback
- No. of pages320 pages
- Size 234x156 mm
- Weight 750 g
- Language English
- Illustrations 6 Illustrations, black & white; 164 Illustrations, color; 6 Line drawings, black & white; 164 Line drawings, color; 16 Tables, black & white 692
Categories
Short description:
Applied Statistics with Python concentrates on applied and computational aspects of statistics, focussing on conceptual understanding and Python-based calculations. It compiles multiple aspects of applied statistics, teaching useful skills in statistics and computational science.
MoreLong description:
Applied Statistics with Python: Volume I: Introductory Statistics and Regression concentrates on applied and computational aspects of statistics, focusing on conceptual understanding and Python-based calculations. Based on years of experience teaching introductory and intermediate Statistics courses at Touro University and Brooklyn College, this book compiles multiple aspects of applied statistics, teaching the reader useful skills in statistics and computational science with a focus on conceptual understanding. This book does not require previous experience with statistics and Python, explaining the basic concepts before developing them into more advanced methods from scratch. Applied Statistics with Python is intended for undergraduate students in business, economics, biology, social sciences, and natural science, while also being useful as a supplementary text for more advanced students.
Key Features:
- Concentrates on more introductory topics such as descriptive statistics, probability, probability distributions, proportion and means hypothesis testing, as well as one-variable regression
- The book?s computational (Python) approach allows us to study Statistics much more effectively. It removes the tedium of hand/calculator computations and enables one to study more advanced topics
- Standardized sklearn Python package gives efficient access to machine learning topics
- Randomized homework as well as exams are provided in the author?s course shell on My Open Math web portal (free)
Table of Contents:
Preface 1. Introduction 2. Descriptive Data Analysis 3. Probability 4. Probability Distributions 5. Inferential Statistics and Tests for Proportions 6. Goodness of Fit and Contingency Tables 7. Inference for Means 8. Correlation and Regression
More
