1. Definitions
Definitions are a huge part of this exam. Be sure to understand them, not just memorize them. Some definitions to know:
- Population versus Sample (can you identify the sample/population?)
- Experiment versus Observation study (How can you tell? Be sure to know! Experiment = treatments applied, observational study = just looking at something that has already happened)
- A control / comparison
- Replication (be careful with this one!)
- Explanatory Variable versus Response Variable (explanatory = treatments, response = a measurable thing on the individual)
This is a huge part of all your tests. KNOW the randomized designs and how to recognize them.
- Know the difference between RANDOMIZED SAMPLING and RANDOMIZED DESIGNS.
- Randomized Sampling includes: SRS (Simple Random Sample), Stratified Sampling, and Multi-Stage Sampling
- Randomized Experimental Designs: CRD (completely randomized design), Block Design and Matched Pairs.
- Realize that if it's an experiment, we care more about the randomized experimental design than the sampling design.
- Know what types of graphs are categorical and quantitative (and which ones we like and how to recognize them)
- Five number summary. How to find it, how to recognize it on a blox plot. (The percentage between Q1 and Q3 is....)
- Shape, Center and Spread of a graph. (Shape: Skewed right/left etc, Center: mean/median and when to use them, and Spread: IQR and St. Deviation. Know things about both.)
- Check my post below for a comprehensive review on z-score equation problems.
Remember, many things are concept base, so make sure you understand why, not just how.
Good Luck!
-Hillary
No comments:
Post a Comment