Statistical Case Study 3 "Send Cash"

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UpdatedStats_Case_3_Send_Cash.xlsx

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Case 3: Send Money Notes Stats Case #3 "Send Cash"
Updated: Summer 2020 MMG525DL01
p=Probaility of an event
Testing p in 70% of college students (p=.70) get money from parents.
Note:Use the sampling method described in Sharpe, (Chapters 8-9) or devise your own random sampling method
Exploring the Binomial Distribution (See Sharpe, Chapters 5-6 Randomness and Probability). Notes
The first line is done for you as a demonstration-you can remove it after viewing if you like. See Notes-->
MMG525OL01 p. 260 Don't Forget the Conclusion G28
X=total # of successes Running total # of Running total # of Estimate of p
in 5 trials successes Sampled
Observation Numbers Success/Sample
Sample
Number 1 2 3 4 5
1 F F S S S 3 3 5 0.60
2
3
4
5
6
7
8
9
10 Computed Result for p, ten trials 0.6 <--insert Average
Theoretical p 0.7 70% get $ from Parents
Difference? 0.1 <--insert difference
Your Conclusion Here--> Conclusion? Was the p-value you got close to that of the text .70?
If it was close, then was your sampling method
adequate? If not, why not? If a random sample (yours) replicates ????? <--Write your conclusion here
the reported value (70% of college students get money from
parents) or p=.70 how important is the number of samples?
What do you think happens as the number of samples rises?

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