A coin is unbalanced such that it comes up tails 55% of the time. a) What is the probability that you don't flip a head until the 4th flip? b) What is the probability that you don't flip a tail until the 4th flip? c) How many tosses would it take, on average, to flip a head? d) How many tosses would it take, on average, to flip a tail?
@robtobey what do you think
a. \[(55/100)^3 (45/100) \]
for a i get .07486875
0.07487 is what I got after rounding.
okay great! wouldn't B be the same answer?
I think: \[\large {\left( {\frac{{45}}{{100}}} \right)^3} \times \frac{{55}}{{100}}\]
so for b) .05011875?
yes!
what about c and d?
wait I'm confused how do we figure that then
I give you more explanation
we have a coin and the probability to get a tail is 55/100, whereas the probability to get a head is 45/100 so I call p=45/100 and q=1-p=55/100
Now the probability to get a tail after N tosses, is: \[\large \left( {\begin{array}{*{20}{c}} N \\ 1 \end{array}} \right){\left( {\frac{{45}}{{100}}} \right)^{N - 1}}\frac{{55}}{{100}}\]
whereas the probability to get a head after N tosses, is: \[\large \left( {\begin{array}{*{20}{c}} N \\ 1 \end{array}} \right){\left( {\frac{{55}}{{100}}} \right)^{N - 1}}\frac{{45}}{{100}}\]
okay
so, for answer c and d, we have to compute such N in order to get the requested probability
how do we get N
we can get N using the formulas above.
please wait, I'm confused, because, if I apply the binomial distribution, then the answers to questions a. and b. would be different by a factor which is a binomial coefficient
okay
I ask to another tutor, please wait... @dan815 can you help here please?
@TuringTest can you help here please?
@amistre64 can you help here please?
You don't need the binomial coefficient
you would need the binomial coefficient if the question was "what are the odds of getting one heads/tails within the first 4 tosses"
ok! what are the answers to questions c. and d. @TuringTest
hmm, if we wanted to know the number .. yeah
There is a nifty proof to the effect that a geometric rv with probability p has expected value of 1/p. I would be hard pressed to derive it off the top of my head though :P
P(1h in 4 tosses) = (4 1) ... ut not getting it til the 4th toss is just: P(t)P(t)P(t)P(h)
How many tosses would it take, on average, to flip a head? h = 45 out of 100 45/45 = 100/45 seems reasonable to me
so 45/45 is the answer?
of course 45/45 is not the answer ...
im so confused
so you are referring to the mean value and to this equation: 1 = N*p 1= N*(45/100)? @amistre64
45 tosses out of 100 tosses on average what is 1 toss out of n tosses?
2.222222
I have thought to that formula, but I was not sure
i have no reference, just a little common sense is all say its fair 50h out of 100 tosses 50/50 = 100/50 1h in 2 tosses
Here is proof that amistre is right http://mathaa.epfl.ch/cours/PMMI2001/interactive/geomexpect_en0.htm
45 h out of 100 tosses, we woud expect to get 45/45 heads out of 100/45 tosses
ok! thank you! @amistre64 @TuringTest
since 2.22 is not a valid toss ... 3 tosses should suffice
okay so these are my answers: a) .07486875 b).05011875 c) 2.222 rounded to three d) 1.818 rounded to two
seems good to me yes
okay thank you all so much!
thank you all!
yalls welcome :)
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