Part 1. Demonstrate that you understand basic concept of Normal Distribution.
In two small paragraphs describe a couple of properties/rules of Normal distribution.
Hint: look for KEY FACTS and DEFINITIONS in sections 6.1 and 6.2 of OCR.
Give one example of some practical case where we can use Normal distribution (like the example I gave of IQ scores.)
Part 2. Assign your numbers for mean μ and standard deviation σ.
Make sure μ is about four times bigger than σ.
Then select any number “a” below or above mean μ,
but not too far from μ , difference (a – μ) should be less than 3σ.
For example, μ = 80, σ = 20, a = 90 (or a = 75).
Find following two probabilities:
1) P(x < a)
2) P(x > a)
First, use formula: z = (a – μ)/σ to calculate z-value
and then use Appendix Table for Standard Normal Distribution.
You can find tables in Appendix to our etextbook
available in Online Course Resource Link on Blackboard Main Menu.
Remember, Appendix Table gives you probability P(x<a).
To find P(x>a) use formula: P(x>a) = 1 – P(x<a)
