# Probability and Statistics EBook

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This is an Internet-based probability and statistics E-Book. The materials, tools and demonstrations presented in this E-Book would be very useful for advanced-placement (AP) statistics educational curriculum. The E-Book is initially developed by the UCLA Statistics Online Computational Resource (SOCR). However, all statistics instructors, researchers and educators are encouraged to contribute to this project and improve the content of these learning materials. There are 4 novel features of this specific Statistics EBook. It is community-built, completely open-access (in terms of use and contributions), blends information technology, scientific techniques and modern pedagogical concepts, and is multilingual.

Material Type: Textbook

# #2: Functions and Relations

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This week we will examine the concept of a function, a fundamental concept underlying all of modern mathematics. You’re undoubtedly already familiar with functions in an intuitive sense: a function is something which, given an input, produces an output. But you’ve probably never seen the formal definition of a function as it relates to set theory, which is what we’ll look at this week.

Author: Brent Yorgey

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Introductory survey of quantitative methods (QM), or the application of statistics in the workplace. Examines techniques for gathering, analyzing, and interpreting data in any number of fieldsĺÎĺ from anthropology to hedge fund management.

Material Type: Activity/Lab, Full Course, Homework/Assignment, Reading, Syllabus

# Passion-Driven Statistics ebook

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Material Type: Activity/Lab, Full Course, Homework/Assignment, Lesson Plan, Textbook

Authors: Kristin Flaming, Lisa Dierker

# BA 275 - Business Quantitative Methods

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This course presents statistical analysis and quantitative tools for applied problem solving and making sound business decisions. Special attention is given to assembling statistical description, sampling, inference, regression, hypothesis testing, forecasting, and decision theory. Course Outcomes: 1. Understand the meaning and use of statistical terms used in todayâ€™s business/economic environment. 2. Collect, organize, summarize, interpret, and present data in tables and charts. 3. Apply descriptive statistical measures to data. 4. Apply probability distributions to model various business and economic processes. 5. Apply statistical inference techniques (including statistical estimation and hypothesis testing) in various business and economic situations. 6. Apply simple linear regression analysis to model various business and economic relationships.

Material Type: Full Course

Author: Linn Benton Virtual College