Language: English
Short Description: Increasingly, the ability to analyze and interpret data is more and more valued in this data- and information-driven world. At the root of this analysis lies the basic principles of statistics. Interpreting data for business – no matter what sector it is – is imperative to making informed decisions. And with information and data so much more widely available than ever before, there’s no excuse not to use this information to make sound business decisions every day. This course will ensure students gain the skills necessary to perform complex statistical analysis of selected samples, understand how to choose the most applicable samples for study and draw conclusions from the analysis pulled from various data sets. Students will learn to gather multiple answers to questions posed every day in business using statistical distributions, probabilities, confidence intervals and more! Once able to build applicable statistical models and interpret the data pulled together, these skills will serve students in their careers for years to come.
This course is designed to offer students the skills necessary to interpret and critically evaluate statistics commonly used to describe, predict, and evaluate data in an information- driven environment. The focus is on the conceptual understanding of how statistics can be used and how to evaluate statistical data.
Instructor Description: This class supported by an Educational Mentor. Educational mentors have worked or are working in the subject they mentor. Educational Mentors review student work, student progress, and interact with students as needed. They respond to any questions or concerns you might have, as well as encouraging and motivating you to succeed.
Requirements
This course does not require any additional purchases of supplementary materials.
Hide Syllabus
Lesson 1
Explain the fundamentals of a statistical study
Describe data sets and their measures in different forms
Use descriptive statistics to describe and make statements about the data set
Interpret probabilities outcomes
Describe a normal distribution and make calculations using z-scores
Use inferential statistical tests to describe population parameters
Construct confidence intervals and use them to interpret population means
Formulate null and research hypotheses for claims made about population means
Use an appropriate statistical technique to test a hypothesis
Describe the linear association for a set of paired data
Calculate and interpret the chi-square test of independence
Use Excel to organize data and to calculate and interpret statistical tests
Hide Syllabus