The probability that a random newborn is male is roughly 0.51 . What is the probability that at least 2 of 4 newborns will be male?
Bernoulli Trials?
Is this for alg 2?
i think is Bernoulli Densities, not alg2 is probability and statistic
Ok. Either way this will work:
ok
Suppose we have 4 trials, AT LEAST 2 of which are successes. Thus, the probability that we have 2, 3, or 4 successes is 1-P(1)=P(2,3,4). So let's calculate the probability that 1 out of 4 newborns is male. We do that like so:
\[\left(\begin{matrix}4 \\ 1\end{matrix}\right)\times0.51^1\times0.49^3=0.24\]
Finally, to get P(2, 3, or 4), We take 1-P(1):\[\huge 1-P(1)=1-0.24=0.76\]
Make sense?
ya is does make sense, so I need to add 2 3 and 4 ?
Ok, see what we have here is a complement probability. Instead of calculating P(2)+P(3)+P(4), we just calculate P(1) and then subtract it from 1, because:\[\huge \color{blue}{P(2, 3, 4)=1-P(1)}\]
alright
so i do the samething as we didnt with p(1)? 1-p(2), 1-p(3)
no. The answer above is your final answer. There's no Further calculation
also did u subtract .51 to get .49?
P(1)+P(2)+P(3)+P(4)=1
And yes
so 1 2 3 4 need to add up 1 i see
Medal plz
\[P(2) = \left(\begin{matrix}4 \\ 2\end{matrix}\right) * .59^2*.49^2\]
not 0.59 and 0.49, but 0.51 and 0.49
mistype
Remember, for this problem, all you have to do is find P(1), then subtract from 1. THATS IT. If you want to validate then calculate P(2)+P(3)+P(4), which should give you the same answer (0.76)
ok
i got like P(2) 0.37
Yes that's correct. Now do P(3) and P(4) if you want
p(3)=.26 and p(4)= .07
Oh no, I've made a mistake! I LEFT OUT P(0) SORRY!
k
so is 0 1 2 3 and 4
NEW ANSWER CORRECTED:\[\large P(0)+P(1)+P(2)+P(3)+P(4)=1\]
SO\[\large P(2)+P(3)+P(4)=1-(P(0)+P(1))\] AND\[\huge \color {red}{P(0)=0.06}\] AND \[\huge \color{blue}{P(1)=0.24}\]SO\[\large 1-(P(1)+P(2))=1-(0.06+0.24)=0.70\]
That is correct now.
Crap, mistype in response, should say 1-(P(0)+P(1))
ok
somehow i see a equal number .70=.70
found the answer is .702335
yep
.70235
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