Normal Approximation Problem Solving

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Discussion Overview

The discussion revolves around solving a probability problem related to a golfer's performance, specifically using the binomial probability formula and exploring the normal approximation to the binomial distribution. The scope includes theoretical understanding and application of statistical methods in a practical context.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • One participant expresses uncertainty about how to approach the problem and mentions attempting a tree diagram without success.
  • Another participant suggests using the binomial probability formula and provides the formula along with a method to find the probability of at least a certain number of successes.
  • A third participant introduces the normal approximation to the binomial distribution, providing the relevant formula and indicating that knowledge of this approximation may depend on the participant's class coverage.
  • A later reply confirms familiarity with the binomial probability formula but indicates a lack of exposure to the normal approximation, expressing difficulty in identifying the necessary variables for the problem.
  • Another participant reflects on their past experience with the normal approximation, noting that it was typically used for larger numbers of trials, suggesting a potential limitation in applying it to this specific problem.

Areas of Agreement / Disagreement

Participants generally agree on the validity of the binomial probability formula but express uncertainty regarding the normal approximation, indicating that multiple competing views remain on the best approach to solve the problem.

Contextual Notes

Participants have not fully resolved the identification of variables for the binomial formula or the conditions under which the normal approximation is applicable. There is also uncertainty regarding the coverage of the normal approximation in their coursework.

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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