CEUs: 0.60   

Fee: $269 ($229 member)

Di$counts for multiple enrollments! Enroll 3 people in the same session at the regular price, get a 4th FREE! (Does not apply to academies or multiple-day classes. Discounts must be requested at the time of registration.) 

Date: 2/10/11
Time: 8:00am-4:00pm
New Location: University of Phoenix Hohokam Campus, 4635 E Elwood St, Phoenix, AZ 85040

Bring this program to your organization. It can be customized to meet your specific needs. Call 480-967-7544 for details or e-mail Katrina.

Related Topics:

• Career Management/Advancement

• Management Development: Single and Half-Day Events

   

If you’ve put off taking a statistics class because of horror stories you’ve heard or because you don’t need a full semester-long course, here’s an easy solution.  In this one-day introductory program, you’ll gain valuable skills and knowledge and have fun in the process. 

Length:  One 8-hour session

Instructor:  Bunning

Who should attend: Anyone interested in improving his/her ability to understand, develop, and interpret statistical data.

Benefits:

• Improved analytical and decision-making ability.

• Enhanced reports, recommendations, and presentations.

• Increased confidence in your ability to understand, develop, and interpret statistical data.

• Increased credibility and professionalism.

Learning Outcomes:

By the end of this program, you will be able to:

• Understand the benefits and limitations of statistics.

• Describe data using statistical terminology.

• Use statistical analysis in real-world decision-making.

• Explain how samples can predict characteristics of a population.

• Critically evaluate statistical data in terms of practical relevance.

• Evaluate statistical reports for common errors and misrepresentations.

Program Outline:

I.          Statistics as a method of describing and analyzing raw data

            A.         Methods of collecting and recording data for professional use

            B.         Using graphs and charts to communicate data meaningfully

            C.         The “average” and other common methods of describing data

            D.         The “range” and similar measures of describing how data are scattered

            E.         Practical applications in the workplace

II.          The use of samples to describe the larger population

            A.         How samples are taken and why

            B.         Good samples and poor samples

            C.         Knowing how closely a sample can predict reality

            D.         Comparing samples to assess if differences are significant

            E.         Understanding how large the possibility of error in sampling is

III.         How to lie (and spot lies) with statistics

            A.         Statistical significance versus practical significance

            B.         Opinion shaping through clever use of charts and graphs

            C.         Selective reporting

            D.         Statistics and ethics