#### Statistics

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.

Upon completion of the course, the student will be able to:

• 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

This class includes the following eText:
Keiss & Green. (2010). Statistical Concepts for the Behavioral Sciences, 4/E; ISBN: 0205626246

This course includes up to 10 hours of live chat tutoring.