[Math] Conditional probability distribution question issue

probabilityprobability distributionsstatistics

The probability that Meena is on time to catch
the bus to her office is 0.8. Find the probability
that she is late

(a) exactly twice in a 6-day week, and
(b) at least once in a 6-day week.

I have tried it, Please correct it if i am wrong or tell if there is any other easy way to solve it:

$P(\text{Meena on time}): 0.8$

$P(\text{Meena is late}): 1 – 0.8 = 0.2$

i) probability that she is late exactly twice: $\binom{6}{2} (0.8)^2 (0.2)^4$

ii) probability that she is late at least once: $\binom{6}{1} (0.8)^5 (0.2)^1 + \binom{6}{2} (0.8)^4 (0.2)^2 + \binom{6}{3} (0.8)^3 (0.2)^3 + \binom{6}{4} (0.8)^2 (0.2)^4 + \binom{6}{5} (0.8)^1 (0.2)^5 + \binom{6}{6} (0.8)^0 (0.2)^6$

$ \Rightarrow 6(0.32768)(0.2) + 15(0.4096)(0.4) + 20(0.512) (0.8) + 15 (0.64) (0.16) + 6 (0.8)(0.32) + (0.000064)$

$ \Rightarrow 3.93 + 2.46 + 8.19 + 1.536 + 0.000064$

$\Rightarrow 16.116064$

Please tell me If I am wrong during this question ?

Thanks. Help is appreciated

Best Answer

If we are doing a specific number of trials, and the probability each time is the same, we can use a binomial random variable to solve it.

For $\text{Binomial}(n, p)$, where $n$ is the number of trials and $p$ is the probability of success on any trial. The general formula is

$$P(X=k) = \binom{n}{k}p^k(1-p)^{n-k}$$

So in your example for part a, the probability she is late on any day is always .2, and we want the probability over 6 days. So we can use $\text{Binomial}(6, .2) $and solve for $P(X=2)$.

$$P(X=2) = \binom{6}{2}.2^2(1-.2)^{6-2} = .246$$

For part B, we use the same Binomial except this time, we want

$$P(X=1) +P(X=2) + \cdots + P(X=6)$$

Since that would give us the odds of her being late at least once. Instead of doing all that tho, we can just find $1 - P(X=0)$, because her being late at least once is going to be the compliment of her never being late.

$$1 - P(X=0) = 1 - \binom{6}{0}.2^0(1-.2)^{6-0} = 1- .262 = .738$$

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