Some people believe in the force (yes, like in Star Wars). To test if young Anakin Skywalker has the force with him, he is told that some cards that Yoda can see but Anakin cannot contain a picture of a planet, a lightsaber, a laser rifle, or a spaceship. As Yoda looks at 20 such cards in turn, Anakin tries to guess what is on the card Yoda is looking at. Of course, Anakin has a 25% chance of simply guessing correctly. a) Verify that the count of correct guesses in 20 cards follows a binomial distribution and write the notation. b) What is the mean number of correct guesses?
c) What is the probability that Anakin guesses all 20 cards correctly? d) Suppose Anakin guesses correctly on 10 of the cards. What is the probability of him doing this well or better by chance? Do you think he has the force with him?
@jim_thompson5910
a) for this part, you just need to verify the conditions needed to use the binomial distribution hint: one of those conditions is that you have independent events (one event doesn't affect the other)
b) mean = n*p n = number of trials p = probability of success
Ok I got that part as X= number of correct guesses P = probability of correct answer ----> 0.25 Q = probability of wrong answer ----> 0.75 Parameter is: ---------> (20,0.25)?
good
you might also see this notation B(n,p) = B(20,0.25)
you can also say for part a) is that you have two outcomes (he gets the guess right or he gets the guess wrong) so that adds more support for a binomial distribution
ok cool
Now (b)? @jim_thompson5910
mean = n*p n = number of trials p = probability of success
Ok
20*25?
0.25 but yes
5
you got it, mean = 5
Ok ! how do i find the sd
sd = sqrt(n*p*(1-p))
how do i find that
n = 20 p = 0.25 plug them in
sd = sqrt(n*p*(1-p)) sd = sqrt(20*0.25*(1-0.25)) sd = ???
sqrt(20*0.25*(1-20)
yep
then use a calc to evaluate
wait u did sqrt(20*0.25*(1-0.25))
is it yours? or mine
sqrt(5 * (.75)
Is it 3.75 @jim_thompson5910 ?
no that's too high
oh i didn't see yours fully, you made a typo it *should* be this sd = sqrt(20*0.25*(1-0.25))
Oh okz
i did that, and got 3.75...
try it again
i did lol
it's NOT 3.75
1.94?
ok here's what the google calculator is saying (you can use google as a calculator) http://www.google.com/search?hl=&q=sqrt%2820*0.25*%281-0.25%29%29&sourceid=navclient-ff&rlz=1B3GGLL_enUS420US420&ie=UTF-8
ok much better, the sd is roughly 1.9364916731037
Coool ,i got that!!
if you round that to two places, you get 1.94
kk! now c?
wasn't that c?
b was the mean
No
btw i only see a and b
and b makes no mention of the sd
ohhh okay heres c and d
c) What is the probability that Anakin guesses all 20 cards correctly? d) Suppose Anakin guesses correctly on 10 of the cards. What is the probability of him doing this well or better by chance? Do you think he has the force with him?
yeah unfortunately i don't have the force like anakin does lol
haha
how do i find c
type this into your calculator (0.25)^20 to get the answer for c
i got 9.094947e-13
yeah it's very small
so either write that or say 0.0000000000009094947
kk
d?
P(X = k) = (n C k)*(p)^(k)*(1-p)^(n-k) P(X = 10) = (20 C 10)*(0.25)^(10)*(1-0.25)^(20-10) P(X = 10) = (20 C 10)*(0.25)^(10)*(0.75)^(20-10) P(X = 10) = (184756)*(0.25)^(10)*(0.75)^10 P(X = 10) = ???
0.00992227527
Can u look at this? A new medical test provides a false positive result for Hepatitis 2% of the time. That is, a perfectly healthy subject being tested for Hepatitis will test as being infected 2% of the time. In research, the test is given to 30 healthy (not having Hepatitis) subjects. Let X be the number of subjects who test positive for the disease. a) What is the probability that all 30 subjects will appropriately test as not being infected? b) What are the mean and standard deviation of X? c) To what extent do you think this is a viable test to use in the field of medicine? I only need C.
you got it, congrats and now that I look back up, i see parts c and d in the post below a and b...lol i feel stupid
c) To what extent do you think this is a viable test to use in the field of medicine?
I found a and b.. a) P(r=30) = 1*1*0.5455 = .5455 or .55 <--- b) Mean = np = 30*0.98 = 29.4 <--- Standard deviation = sqrt(npq) = sqrt (30*0.98*0.02) = 0.7668 <--- c)
well you'd need it to be very accurate, the question is: how accurate?
yea..
hmm let me think
kk
did u get it?
does it mention anywhere you need to make a bunch of distribution tables?
no
ok hold on
basically the value of p is fixed, but you can change the value of n the question is: when does this test become unreliable when you have n reach a certain point?
yep
what should i say
well let's say you want the average of false positives to be 10 or less (that's your limit and what you would consider accurate...if you get more than 10 on average, then it's inaccurate) So mean = np 10 = np 10 = n*0.02 10/0.02 = n 500 = n n = 500 This means that if you test 500 people, then you'll have on average, 10 false positives. So the max number of people to be tested is 500 people. Anything more than this will make the test unreliable according to your definition above
that's one way to do it I think
Ok cool! so c should be : So the max number of people to be tested is 500 people. Anything more than this will make the test unreliable according to your definition above
Yeah your test is only viable for up to 500 people max
ok thanks. and my a and b above are correct?
according to your error set up (ie how much error you're willing to tolerate)
huh
where are you lost
are they
are my answers right
for a and b
oh a is correct, b is not
what is b ?
well the second part of b is correct, so that's good
but the mean you got is incorrect
ok@ thanks!!
you use 0.02 NOT 0.98
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