Answer:
The probability that more than half of these babies are female is closest to 0.53.
Step-by-step explanation:
We are given that at a certain hospital, the probability of a child being born female is 0.5. 80 babies are born on a certain day.
Let X = Number of babies that are female
The above situation can be represented through binomial distribution which means X ~ Binom(n = 80, p = 0.51)
Here, n = number of samples taken and p = probability of success
For finding the probability we will use the normal approximation because the sample size is greater than 30 (n > 30), i.e;
Mean of X, [tex]\mu[/tex] = [tex]n \times p[/tex]
= 80 [tex]\times[/tex] 0.51 = 40.8
Standard deviation of X, [tex]\sigma[/tex] = [tex]\sqrt{n \times p\times (1-p)}[/tex]
= [tex]\sqrt{80 \times 0.51 \times (1-0.51)}[/tex] = 4.5
So, X ~ Normal([tex]\mu=40.8, \sigma^{2} = 4.5^{2}[/tex])
Now, the probability that more than half of these babies are female is given by = P(X > 40) = P(X > 40.5) {using continuity correction}
P(X > 40.5) = P( [tex]\frac{X-\mu}{{\sigma}} }[/tex] > [tex]\frac{40.5-40.8}{{4.5} } }[/tex] ) = P(Z > -0.07) = P(Z < 0.07)
= 0.5279 ≈ 0.53
The above probability is calculated by looking at the value of x = 0.07 in the z table which has an area of 0.5279.
Hence, the probability that more than half of these babies are female is closest to 0.53.