Normal Approximation Problem Solving

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SUMMARY

The discussion focuses on solving a probability problem involving Mike Weir's birdie statistics using the Binomial Probability Formula and its normal approximation. The key parameters identified are: successes (s) as 4, trials (n) as 6, and probability (p) as 0.209. The normal approximation to the binomial distribution is introduced with the formula for Z, which is essential for calculating probabilities when n is large. Participants emphasize the importance of understanding both the exact binomial calculation and the normal approximation method.

PREREQUISITES
  • Understanding of Binomial Probability Formula
  • Familiarity with normal distribution concepts
  • Basic knowledge of statistical notation and terminology
  • Experience with probability calculations in statistics
NEXT STEPS
  • Study the application of the Binomial Probability Formula in various scenarios
  • Learn about the Central Limit Theorem and its implications for normal approximation
  • Explore the use of statistical software for calculating probabilities
  • Review examples of normal approximation to the binomial distribution in practice
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Statisticians, students in statistics courses, and anyone interested in probability theory and its applications in real-world scenarios.

Math1015
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I'm unsure on how to start this problem. I tried to make a tree diagram but to no avail did it help out.

Question:
On average, Mike Weir scores a birdie on about 20.9% of all the holes he plays. Mike is in contention to win a PGA golf tournament but he must birdie at least 4 holes of the last 6 holes he plays.Find the probability, as a percent correct to one decimal place, that Mike will win.
 
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I would use:

[box=blue]
Binomial Probability Formula

$$P(x)={n \choose x}p^x(1-p)^{n-x}$$[/box]

Now, suppose we want to find the probability of at least $s$ successes out of $n$ trials...so if $X$ is this event, we may write:

$$P(X)=\sum_{k=s}^{n}\left({n \choose k}p^k(1-p)^{n-k}\right)$$

Can you identify $s,\,n,\,p$ for this problem?
 
The above approach is definitely correct for the exact answer. If you want a normal approximation then we'll use the following formula:

$$Z=\dfrac{Y-np}{\sqrt{np(1-p)}}\stackrel {d}{\longrightarrow} N(0,1)$$

I think from your class you should be able to tell us if you've covered the normal approximation to the binomial distribution yet. Once we know that, we can help you through either approach. :)

https://onlinecourses.science.psu.edu/stat414/node/179
 
I've for sure seen the binomial probability formula in class and we have covered that formula. I have not seen the other two however. The problem comes in when identifying values for each of the variables.
 
Last edited:
Math1015 said:
I've for sure seen the binomial probability formula in class and we have covered that formula. I have not seen the other two however.

I glossed over the phrase "Normal Approximation" in the thread title, and gave you the method for determining the exact answer. I do recall though, using the normal distribution to approximate the binomial distribution in the one elementary stats class I took long ago. I seem to remember only using it for much larger numbers of trials though, where using a sum such as I posted would be tedious to compute. :)
 

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