Population proportion *statistics*

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The discussion revolves around calculating the distribution of Harley-Davidson motorcycle ownership among a sample of 500 motorcycle owners, given that they represent 14% of all registered motorcycles in the U.S. Participants are tasked with determining the approximate distribution of the sample proportion (p-hat) and assessing the likelihood of the sample containing 20% or more Harley owners, as well as at least 15%. The key equations involve calculating p-hat, the mean of the sampling distribution, and using the z-score for normal probability calculations. There is confusion regarding the interpretation of "approximate distribution" and how to transition from a Binomial to a Normal distribution for these calculations. Understanding these statistical concepts is crucial for accurately answering the posed questions.
georgeh
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Homework Statement



Harley-Davidson motorcyles make up 14% of all the motorcyles registered in the United States. You plan to interview an SRS of 500 motorcyle owners.
a) what the approximate distribution of the proportion of your sample who owns harleys?
b) Is your sample likely to contain 20% or more who own Harleys? Is it likely to contain at least 15% Harley owners? Do normal probability calculations to answer these questions

Homework Equations


p-phat = count of success in the sample/n
p = mean of the sampling distribution
z =( p-hat - p)/ std.dev


The Attempt at a Solution


I believe p = .14. n = 500
I don't understand what is meant by "approximate distribution of the proportion of your sample who owns harleys".
If they mean p-hat, would p-hat =(500*14/100) / 500 ? bit that would give me .14..
 
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Hint: The question says "Do normal probability calculations to answer these questions".

The "exact" probability distribution here is a Binomial distribution. How do you use a Normal distribution to approximate a Binomial distribution?
 

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