All resources in OpenStax Introductory Business Statistics
Material Type: Textbook
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.
Material Type: Reading
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
Here is the link to the new Passion-Driven Statistics e-book! Github book https://bit.ly/PDSe-book pdf version http://bit.ly/Passion-DrivenStatistics Passion-Driven Statistics is an NSF-funded, multidisciplinary, project-based curriculum that supports students in conducting data-driven research, asking original questions, and communicating methods and results using the language of statistics. The curriculum supports students to work with existing data covering psychology, health, earth science, government, business, education, biology, ecology and more. From existing data, students are able to pose questions of personal interest and then use statistical software (e.g. SAS, R, Python, Stata, SPSS) to answer them. The e-book is presented in pdf format for ease of use across platforms. It can also be customized by downloading and editing the .iba file (available through the link below) using the free “iBook Author” software. http://bit.ly/EditPDSe-book For more information, contact Lisa Dierker, firstname.lastname@example.org or check out the Passion-Driven Statistics website at https://passiondrivenstatistics.com/
Material Type: Activity/Lab, Full Course, Homework/Assignment, Lesson Plan, Textbook
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
This sample shell is produced by the California Community Colleges CVC-OEI to support faculty in the use of Open Educational Resources and development of courses aligned to the OEI Course Design Rubric. The shell may be used for online, hybrid, &/or face-to-face classes. The shell is available for all faculty, not just those faculty in the CCC system. The team producing this shell includes Helen Graves, Liezl Madrona, Cyrus Helf, Nicole Woolley & Barbara Illowsky. If you are having challenges importing the shell, here are some steps to take. (1) Create an empty shell in your sandbox. (2) Import the Canvas Commons course into your shell. (3) Adapt the content as you wish. (4) If all else fails, contact your college IT person or Canvas administrator.
Material Type: Full Course