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Find the probability. In China, where many couples were allowed to have only one child, the probability of a baby being a boy was \(0.545 .\) Among six randomly selected births in China, what is the probability that at least one of them is a girl? Could this system continue to work indefinitely? (Phasing out of this policy was begun in 2015.)

Short Answer

Expert verified
The probability that at least one of six births is a girl is 0.944. Considering social and demographic impacts, the policy could not work indefinitely.

Step by step solution

01

Determine the Probability of a Girl

Given the probability of a baby being a boy is 0.545, the probability of a baby being a girl is calculated as: P(Girl) = 1 - P(Boy) = 1 - 0.545 = 0.455
02

Calculate the Probability of All Boys

To find the probability that all six births are boys, use the formula for the probability of independent events: P(All Boys) = (P(Boy))^6 = (0.545)^6
03

Use the Complement Rule

The probability of at least one girl is the complement of the probability that all six are boys: P(At least one girl) = 1 - P(All Boys)
04

Perform the Calculations

First, calculate (0.545)^6 Then, calculate 1 - (0.545)^6 Using a calculator: P(All Boys) ≈ 0.056 Therefore, P(At least one girl) = 1 - 0.056 = 0.944
05

Discuss Feasibility of the Policy

While the probability of at least one girl in six births is high, other social and demographic factors must be considered. Policies like the one-child policy can lead to skewed sex ratios and other long-term demographic issues, making it challenging to sustain indefinitely.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

probability calculation
Probability calculation is fundamental in understanding how likely an event is to happen. In this exercise, we calculated the probability that at least one of six births in China is a girl, given the probability of a boy being 0.545.
Let's break it down:
  • First, we needed to find the probability of a baby being a girl, which was calculated by subtracting the probability of a boy from 1.
  • Next, we used this probability to determine the likelihood of all six births being boys.
  • Finally, we used the complement rule to find the probability of at least one girl.
This way of step-by-step calculation helps us systematically solve probability problems.
independent events
Understanding independent events is crucial in probability theory. Independent events are those whose outcomes do not affect each other. In our exercise, each birth being a boy or a girl is an independent event because the outcome of one birth does not influence the others.
To calculate the probability of all six births being boys, we multiplied the probability of a boy in a single birth by itself six times:
\[(P(Boy))^6\]
This formula shows that the probability of multiple independent events occurring together can be found by multiplying their individual probabilities.
complement rule
The complement rule is used to find the probability that an event does not happen by subtracting the event's probability from 1. It helps deal with 'at least one' type of probability problems, like our exercise.
In our exercise, we calculated the probability of all six births being boys and then used the complement rule to find the probability of at least one girl:
\[P(\text{At least one girl}) = 1 - P(\text{All Boys})\]
This simplifies the calculation, especially when direct calculation might be complex or cumbersome.
demographic policy impact
Demographic policies, like China's one-child policy, can have significant long-term effects. These policies influence population structure and social dynamics.
Despite the high probability (0.944) of at least one girl in six births, policies that limit family size can result in skewed gender ratios and aging populations.
Over time, these effects can lead to challenges like labor shortages and increased pressure on social services. It is essential to consider these demographic impacts when evaluating the feasibility of such policies.

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