Assignment:
I have to use this below to do the below in a conversation between boss and employ. I need a specific, real world question that the boss asks. In other words I need this conversation to take place within a specific context.
Below is what I have to do, but I must do the all 10 steps:
Explain how the Central Limit Theorem can help you convince your boss that while you can't get rid of sampling error the results from your statistical work (that is based on sampling) can still be useful. HINT: This is more of a story response (i.e. discussion of theory) than a math response (i.e. numbers and calculations flying all over). Please see the outline in the Course Materials forum. Please script out your conversation.
***I must answer all 10 in conversational manner. For number 1 I start out with the boss asking an employee a question about the show NCIS. I need assistance with the remaining 9 so that I am able understand Central Limit Theorem.***
1. Boss has a question about a population:
Boss comes running out of her office and yells: "I need to know the average age of everybody watching the TV how NCIS on Wednesdays Central Time at 8:00 p.m. in the US. Who can help me do this?"
2. To costly or can't do population so forced to sample
3. With sampling, will be sampling error (CLT says so)
4. Disclose possibility of error to Boss and says get rid of error
5. Can't (CLT says so) but I can get CLOSE to what the TRUE POPULATION result would be
6. How close?
7. If I sample correctly, I can develop an INTERVAL within which I can be . . . say 95% sure contains the TRUE POPULATION result
8. Will being this close help us make the needed decision Boss?
9. Boss says Yes
10. Closure/End