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# Introduction to Statistics

## von The Saylor Foundation

Dieses Kursmaterial steht nur in der iTunes U-App auf iPhone oder iPad zur Verfügung.

#### Kursbeschreibung

This course is one of nearly 100 college-level, online courses created by Saylor Academy and available through your web browser on any device. Every Saylor Academy course offers a free certificate of completion and many courses connect to flexible and affordable college credit. Discover Saylor Academy’s full catalog here.

Purpose of Course

In this course, you will look at the properties behind the basic concepts of probability and statistics and focus on applications of statistical knowledge.  You will learn about how statistics and probability work together.  The subject of statistics involves the study of methods for collecting, summarizing, and interpreting data.  Statistics formalizes the process of making decisions—and this course is designed to help you cultivate statistic literacy so that you can use this knowledge to make better decisions.  Note that this course has applications in sciences, economics, computer science, finance, psychology, sociology, criminology, and many other fields.

Every day, we read articles and reports in print or online.  After finishing this course, you should be comfortable asking yourself whether the articles make sense.  You will be able to extract information from the articles and display that information effectively.  You will also be able to understand the basics of how to draw statistical conclusions.

This course will begin with descriptive statistics and the foundation of statistics.  You will then learn about probability and random distributions, the latter of which enables us to work with several aspects of random events and their applications.  Finally, you will examine a number of ways to investigate the relationships between various characteristics of data.  By the end of this course, you should have a grasp on what statistics represent, how to use them to organize and display data, and how to test the data to make effective conclusions

In iTunes ansehen

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