Calculating Probability with Normal Approximation

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In summary: I think I made a typo in my previous answer. Here is the correct one:In summary, the probability of observing 518 or fewer drivers wearing seat belts in a sample of 700 drivers is approximately 0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000022715033424606239489951580591428932253089201021148168958765691731392094513257400149512461174994101101893879349950817724535023320833098115143452605318902844562357900521627169600482502350655645510044817
  • #1
lilyungn
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Hi all I'm currently taking Statistics 1 and I'm stuck on a homework problem that I've been trying to figure out for a while...hopefully one of you guys can enlighten me on how to do it..heres the question:

Transportation officials tell us that 80% of drivers wear seat belts while driving. What is the probability of observing 518 or fewer drivers wearing seat belts in a sample of 700 drivers?

Hint: Use normal distribution to approximate the binomial distribution

Any help will be greatly appreciated. Thanks
 
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  • #2
The normal approximation of the binomial distribution has mean n * p and variance n * p * (1 - p). In your example n = 700 and p = 0.8.

I calculate the exact probability as
Code:
27215033424606239489951580591428932253089201021148168958765691731392094513257400149512461174994101101893879349950817724535023320833098115143452605318902844562357900521627169600482502350655645510044817056094897193166242140544070444191441905644096259918364809861980951251235754139967622866482769375805893409967413796426281723416461645206238828172038546224013601381995986790697562819660604903531492876045502982090073701576428830644538188684724158694295977900811634082990023633233789421341/380218313259031964703014481167020621852974241274703806488349211513170849855494440711440299410524372640522125900659637734955652488757724700708924916770505595637569416206346918582471539076959056068435223651008041554876432039792771230305103084765331596853800084507271724280140484161410403670670196458543283896996507022028449859411384981297711080778428012558385332383706122652531298594333598103700679951981973698960512606011735240635218234741615222116624395187756135783274658024311065673828125
You can use this to check yourself, if you'd like. :-p
 
  • #3
I don't understand how you did it, can you show the work? thanks
 
  • #4
lilyungn said:
I don't understand how you did it, can you show the work? thanks
No, we cannot; that is cheating, strictly against site policy, and not very effective in helping you learn anyways.

What we will do is help you solve the problem, but we can't do that if you only post the question, and nothing about your own thoughts, work, and understanding about it.
 
  • #5
CRGreathouse said:
The normal approximation of the binomial distribution has mean n * p and variance n * p * (1 - p). In your example n = 700 and p = 0.8.

I calculate the exact probability as
Code:
27215033424606239489951580591428932253089201021148168958765691731392094513257400149512461174994101101893879349950817724535023320833098115143452605318902844562357900521627169600482502350655645510044817056094897193166242140544070444191441905644096259918364809861980951251235754139967622866482769375805893409967413796426281723416461645206238828172038546224013601381995986790697562819660604903531492876045502982090073701576428830644538188684724158694295977900811634082990023633233789421341/380218313259031964703014481167020621852974241274703806488349211513170849855494440711440299410524372640522125900659637734955652488757724700708924916770505595637569416206346918582471539076959056068435223651008041554876432039792771230305103084765331596853800084507271724280140484161410403670670196458543283896996507022028449859411384981297711080778428012558385332383706122652531298594333598103700679951981973698960512606011735240635218234741615222116624395187756135783274658024311065673828125
You can use this to check yourself, if you'd like. :-p

Seems a little large for a probability, being that they should be in the interval [0, 1].
 

1. What is the definition of probability?

Probability is a measure of the likelihood that a certain event will occur. It is expressed as a number between 0 and 1, where 0 indicates impossibility and 1 indicates certainty.

2. How do you calculate probability?

Probability can be calculated by dividing the number of favorable outcomes by the total number of possible outcomes. For example, if you roll a six-sided die, the probability of rolling a 3 is 1/6 because there is one favorable outcome (rolling a 3) out of six possible outcomes.

3. What is the difference between theoretical and experimental probability?

Theoretical probability is based on mathematical calculations and assumes that all outcomes are equally likely. Experimental probability is based on actual data collected from experiments or observations.

4. How can you use probability in real life?

Probability is used in many real-life situations, such as predicting the weather, making financial decisions, and understanding risk in insurance and gambling. It can also be used to make informed decisions by calculating the likelihood of different outcomes.

5. Can probability be greater than 1 or less than 0?

No, probability cannot be greater than 1 or less than 0. A probability of 1 means the event is certain to occur, and a probability of 0 means the event is impossible. Any other value between 0 and 1 represents the likelihood of the event occurring.

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