Statistics 101

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Statistics 101

Let us take the complexity out of statistics with this introductory webcast. Ultimately we want to generate accurate data, however, how do we prove the accuracy of our data? This is where statistics often plays a part. We will discuss the primary concepts of error, mean, standard deviation and variance; focusing on how these are calculated, when they should be applied to your data, and what they tell us. We will also consider some more complex statistical tests that can be used to analyze data sets produced by different analysts; again discussing how and when to apply these tests. All of this information will allow you to take your first steps in applying statistics confidently.

Topics include:

Accuracy
Replicates and the mean
The central limit theorem
Variance and standard deviation
Standard deviation vs. standard error of the mean
Confidence interval and limits
T-test
F-test
Pooling variances
Analysis of variance

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