
Title

Data Analysis Using Stata
Delivery time: 8-12 business days (International)
Data Analysis Using Stata Provides A Comprehensive Introduction To Stata With An Emphasis On Data Management, Linear Regression, Logistic Modeling, And Using Programs To Automate Repetitive Tasks. Throughout The Book, The Authors Make Extensive Use Of Examples Using Data From The German Socioeconomic Panel, A Large Survey Of Households Containing Demographic, Income, Employment, And Other Key Information.The Book Begins With An Introduction To The Stata Interface And Then Proceeds With A Discussion Of Stata Syntax And Simple Programming Tools Like Foreach Loops. The Core Of The Book Includes Chapters On Producing Tables And Graphs, Performing Linear Regression, And Using Logistic Regression. The Remainder Of The Book Includes Chapters On Reading Text Files, Writing Programs And Adofiles, And Internet Resources, Such As The Search Command And The Ssc Archive. All Key Concepts Are Illustrated With Multiple Examples.Data Analysis Using Stata Will Serve As A Valuable Introduction To Stata, Both For Those Who Are New To Statistics And Statistical Computing As Well As For Those New To Stata But Familiar With Other Programs.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
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Frequently Asked Questions
- Q: What is the main focus of 'Data Analysis Using Stata'? A: 'Data Analysis Using Stata' primarily focuses on providing a comprehensive introduction to Stata, emphasizing data management, linear regression, and logistic modeling.
- Q: Who are the authors of this book? A: The book is authored by Ulrich Kohler.
- Q: What is the publication date of 'Data Analysis Using Stata'? A: The book was published on June 15, 2005.
- Q: What topics are covered in the book? A: The book covers topics such as Stata syntax, data management, producing tables and graphs, performing linear regression, logistic regression, and programming with Stata.
- Q: Is this book suitable for beginners? A: 'Data Analysis Using Stata' is suitable for both beginners new to statistics and those familiar with other statistical programs.
- Q: How many pages does the book have? A: The book contains a total of 378 pages.
- Q: What is the condition of the book? A: The book is listed as a used book in good condition.
- Q: What type of binding does the book have? A: 'Data Analysis Using Stata' is available in paperback binding.
- Q: What is the edition of this book? A: This book is the first edition.
- Q: Are there examples in the book? A: Yes, the book includes extensive examples using data from the German Socioeconomic Panel to illustrate key concepts.