Monkeyseat
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A railway company employs a large number of drivers. During a dispute over safety procedures, the drivers consider taking strike action.
Early in the dispute, a polling organisation asks a random sample of 20 of the drivers employed by the company whether they are in favour of strike action.
a) If the probability of a driver answering 'yes' is 0.4 and is independent of the answers of the other drivers, find the probability that 10 or more drivers answer 'yes'.
I used a Cumulative Binomial Distribution Function table:
http://courses.wcupa.edu/rbove/eco252/bintabl1.doc
Using table n = 20, I went across to p = 0.4. The probability that 9 or less answer yes is 0.7553, therefore the probability that 10 or more answer yes is 1 - 0.7553 which is 0.2447. Is that correct?
Later in the dispute, the probability of a driver answering 'yes' rises to 0.6.
b) If the polling organisation asks the same question to a random sample of 20 drivers, find the probability that 10 or more drivers answer 'yes'.
Again I used table n = 20 but it does not have p = 0.6. So if the probability that a driver answers 'yes' is 0.6, the probability they answer 'no' is 0.4. The probability that 10 or less answer 'no' (and therefore 10 or more answer yes) is 0.87248. Is the answer just that?
A union meeting is now called and attended by 20 drivers. at the end of the meeting, those drivers in favour of strike action are asked to raise their hands.
c) Give two reasons why the probability distribution you used in part (b) is unlikely to be suitable for determining the probability that 10 or more of these 20 drivers raise their hands.
Sorry, no idea!
If you could check (a) and (b) and help me with (c), I would be very grateful.
Thank you.
Early in the dispute, a polling organisation asks a random sample of 20 of the drivers employed by the company whether they are in favour of strike action.
a) If the probability of a driver answering 'yes' is 0.4 and is independent of the answers of the other drivers, find the probability that 10 or more drivers answer 'yes'.
I used a Cumulative Binomial Distribution Function table:
http://courses.wcupa.edu/rbove/eco252/bintabl1.doc
Using table n = 20, I went across to p = 0.4. The probability that 9 or less answer yes is 0.7553, therefore the probability that 10 or more answer yes is 1 - 0.7553 which is 0.2447. Is that correct?
Later in the dispute, the probability of a driver answering 'yes' rises to 0.6.
b) If the polling organisation asks the same question to a random sample of 20 drivers, find the probability that 10 or more drivers answer 'yes'.
Again I used table n = 20 but it does not have p = 0.6. So if the probability that a driver answers 'yes' is 0.6, the probability they answer 'no' is 0.4. The probability that 10 or less answer 'no' (and therefore 10 or more answer yes) is 0.87248. Is the answer just that?
A union meeting is now called and attended by 20 drivers. at the end of the meeting, those drivers in favour of strike action are asked to raise their hands.
c) Give two reasons why the probability distribution you used in part (b) is unlikely to be suitable for determining the probability that 10 or more of these 20 drivers raise their hands.
Sorry, no idea!
If you could check (a) and (b) and help me with (c), I would be very grateful.
Thank you.