Part III
How large of a sample is large enough to use the Central Limit Theorem? Go to www.dummies.com/extras/ucanstatistics for an exploration of why the answer sometimes depends on more than just sample size.
In this part …
Get down the basics of probability by defining events and how likely they are to happen.
Understand that random variables actually often have well-defined behaviors, one of which measures the probability of repeated success.
See that when your data is acting “normal,” predicting the likelihood of a possible event is quite straightforward.
Learn that when you don’t have a lot of data but things still seem normal, you still have a reliable resource with the t-distribution.
Use the power of the Central Limit Theorem to see that even though individual values may not ...
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