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.
Anyone interested in improving his/her ability to understand, develop, and interpret statistical data.
- 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.
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.
- Statistics as a method of describing and analyzing raw data
- Methods of collecting and recording data for professional use
- Usage graphs and charts to communicate data meaningfully
- The “average” and other common methods of describing data
- The “range” and similar measures of describing how data are scattered
- Practical applications in the workplace
- The use of samples to describe the larger population
- How samples are taken and why
- Good samples and poor samples
- Knowing how closely a sample can predict reality
- Comparing samples to assess if differences are significant
- Understanding how large the possibility of error in sampling is
- How to lie (and spot lies) with statistics
- Statistical significance versus practical significance
- Opinion shaping through clever use of charts and graphs
- Selective reporting
- Statistics and ethics