Just want to know if my procedure for this Binomial problem is correct: Binomial problem: Say \(Y_1,\ldots, Y_5\) be mutually independent and identical random variables with distribution Binomial(2, 0.3). Thus, each \(Y_i\) takes on values {0, 1, 2}. Define \(Z\) to be the number of \(Y_i\) which take on value "1". Example: \(\{Y_1,\ldots, Y_5\}= \{0,2,1,1,1\}\) would give \(Z=3\). Find \(\Pr(Z>4)\)
What I did: \(\Pr(Z > 4)=\Pr(Z=5)\) since Z can't exceed 5. Then I define an indicator random variable \(X_i\) such that
\[X_i=\begin{cases} 1 & \text{if } Y_i=1, prob={2\choose 1}(0.3)^1(0.7)^{2-1}=0.42\\ 0 & \text{otherwise}\end{cases}\]
Then, \[Z=\sum_{i=1}^{5}X_i\sim \text{Binomial}(5, 0.42)\]So, \[P(Z=5)={5\choose 5}(0.42)^5(0.58)^{5-5}\]
Considering Y1-Y5 are IID, I would consider the experiment as a 5 step experiment, each with probability p (obtained from the binomial distribution).
@mathmate do you think you could elaborate a bit what you mean?
IID means "mutually independent and identical random variables". You can calculate the probability of Yi taking the value of 1 using the binomial theorem, with \(r1=P(Z_1=1)=(^2_1)0.3^1(1-0.3)^1\) Since r1=r2=r3=r4=r5 are all equal, and we need P(Z>4)=P(Z=5), this means that all trials have to give a 1. Use the multiplication law to give P(Z=5)=r1*r2*r3*r4*r5=r^5. Alternatively, you can use the binomial theorem a second time to give \(P(Z=5)=(^5_5) r^5(1-r)^0\) which gives the same result in this case. If you had to calculate P(Z=4) or P(Z=3), definitely you will need to apply the binomial theorem a second time.
Thank you :) !
You're welcome! :)
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