QA 233 (Basic Business Statistics)

Formula Sheet - Midterm Exam #2

Hello QA 233 students! This page lists the formula you need to be able to use for the second exam (chapters 6.2, and all of 7 from the ASW textbook and slide sets IV-VI and VII) that will be given in class on Monday, June 23. I have also posted the Word version of the formula sheet for this exam - please make sure you can download and print the Word version of this formula sheet by Monday, June 23. These are the ONLY FORMULA that you will be given, so look them over and let me know if you feel I have omitted any important or relavent formulas. Have a good weekend!

Expected Value of a Discrete Random Variable:

Variance for a Discrete Random Variable:

Expected Value of a Continuous Random Variable:

Variance for a Continuous Random Variable: 

Normal Probability Distribution Function:

Standard Normal Random Variable z (z transformation for x):

Expected Value of x: E(x) = m

Standard Deviation (i.e., Standard Error) of x - Finite Population:

Standard Deviation (i.e., Standard Error) of x - Infinite Population:

Standard Normal Random Variable z (z transformation for x):

Expected Value of p: E(p) = p

Standard Deviation (i.e., Standard Error) of p  - Finite Population:

Standard Deviation (i.e., Standard Error) of p  - Infinite Population:

Standard Normal Random Variable z (z transformation for p):

Expected Value of x: E(x) = m

Standard Deviation (i.e., Standard Error) of x - Finite Population:

Standard Deviation (i.e., Standard Error) of x - Infinite Population:

Standard Normal Random Variable z (z transformation for x):

Expected Value of p: E(p) = p

Standard Deviation (i.e., Standard Error) of p  - Finite Population:

Standard Deviation (i.e., Standard Error) of p  - Infinite Population:

Standard Normal Random Variable z (z transformation for p):

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