Expectations - Chapter 2 Test
**** From Chapter 2 - Normal Distribution
- Density Curves (Properties, definition, why are they useful)
- Median & Mean of a Density Curve
- Density Curve Area Calculations
- Know how to create a density curve for the Normal distribution and properly mark up x-axis
- 68-95-99.7 Rule - Know how to calculate areas using Rule
- Know and use correct normal distribution notation: X~N(mu, sigma)
- Know how to calculate z-score
- Know what the z-score represents (know the relationship between mean and standard deviation)
- Know what the Standard Normal Distribution is
- Know how to make calculations associated with the Normal Distribution
- Know how to use the z-table
- Know how to find a value (for example, x) given a percentile, portion, or area.
- Know how to solve for an unknown variable: maybe I give you z, x, and mu - you should be able to solve for sigma
- Know how to assess normality - use a histogram, 68-95-99.7 rule, normal probability plot
- Know how to construct a normal probability plot using your TI-83 - see link
- Know how to simulate Normal Random Variables using Rweb
*** From Chapter 5, know - ONLY ASKED 1 QUESTION FROM SECTION BELOW ON CHAPTER 1 TEST - MAY ask 1 or 2 questions from below:
observational study vs. experiment ( know definitions)
sample
confounded (pg. 270)
population vs. sample
sampling vs. census
voluntary response sample
convenience sampling
*** You may be asked questions directly or indirectly related to Chapter 1 - So review anything from Chapter 1 that gave you difficulty