Overview: This presentation will attempt to remove the fear of statistics that most people share.
We will not spend much time on complex equations. Rather, we will focus on the concepts of statistics, and how you can use these concepts to interpret your laboratory results. Our focus will be on using basic spreadsheet functions to compare data sets generated from many different kinds of test equipment.
Why Should You Attend: Most people hate statistics, because they don't understand statistics. If you either generate or review laboratory data, you will want to attend this seminar. We will discuss the basics in a way that doesn't involve lots of jargon and complicated equations. We use real world examples and common spreadsheet functions to show you how to analyze your data.
Areas Covered in the Seminar:
* Perspectives on statistics
* Basic definitions
* Hypothesis testing
* Evaluating differences in precision - the F Test
* Evaluating differences in averages - the t Test
* Evaluating real world data sets
Who Will Benefit:
* Lab Staff
* Auditors
* Supervisors
* Managers
We will not spend much time on complex equations. Rather, we will focus on the concepts of statistics, and how you can use these concepts to interpret your laboratory results. Our focus will be on using basic spreadsheet functions to compare data sets generated from many different kinds of test equipment.
Why Should You Attend: Most people hate statistics, because they don't understand statistics. If you either generate or review laboratory data, you will want to attend this seminar. We will discuss the basics in a way that doesn't involve lots of jargon and complicated equations. We use real world examples and common spreadsheet functions to show you how to analyze your data.
Areas Covered in the Seminar:
* Perspectives on statistics
* Basic definitions
* Hypothesis testing
* Evaluating differences in precision - the F Test
* Evaluating differences in averages - the t Test
* Evaluating real world data sets
Who Will Benefit:
* Lab Staff
* Auditors
* Supervisors
* Managers
