Go back

Descriptive Statistics And Probability Using Excel(1st Edition)

Authors:

César Pérez López

Free descriptive statistics and probability using excel 1st edition césar pérez lópez 1447798031, 978-1447798033
5 ratings
Cover Type:Hardcover
Condition:Used

In Stock

Include with your book

Free shipping: April 13, 2024
Access to 3 Million+ solutions Free
Ask 10 Questions from expert 200,000+ Expert answers
7 days-trial

Total Price:

$0

List Price: $35.95 Savings: $35.95(100%)

Book details

ISBN: 1447798031, 978-1447798033

Book publisher: Scientific Books

Get your hands on the best-selling book Descriptive Statistics And Probability Using Excel 1st Edition for free. Feed your curiosity and let your imagination soar with the best stories coming out to you without hefty price tags. Browse SolutionInn to discover a treasure trove of fiction and non-fiction books where every page leads the reader to an undiscovered world. Start your literary adventure right away and also enjoy free shipping of these complimentary books to your door.

Descriptive Statistics And Probability Using Excel 1st Edition Summary: Excel is a very complete and dynamic calculation platform. Through its predefined formulas and functions it is possible to deal with most topics in the statistical field, such as descriptive statistics, discrete and continuous random variables, frequency tables for one- and two-dimensional variables, independence and relationship between variables, regression and correlation, qualitative variables, contingency tables and index numbers. It is also possible to work with probability calculation topics such as frequency distributions, both discrete and continuous, probability laws, density functions, distribution functions, critical values and other characteristics. It is also possible to deal with mathematical statistics content, such as sampling, confidence intervals, hypothesis testing and parametric and non-parametric estimation. Excel also allows working with typical quantitative statistical models such as multiple regression models, analysis of variance models, time-series models, reliability models, etc.