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Kids. A couple plans to have children until they get a girl, but they agree that they will not have more than three children even if all are boys. (Assume boys and girls are equally likely.) a) Create a probability model for the number of children they might have. b) Find the expected number of children. c) Find the expected number of boys they'll have.

Short Answer

Expert verified
The couple will have 2 children on average and about 0.875 boys.

Step by step solution

01

Identify Possible Outcomes for Number of Children

The couple can have a maximum of three children. Possible outcomes are: they might have 1 child (a girl on the first try), 2 children (a boy followed by a girl), or 3 children (two boys followed by a girl, or three boys). Thus, possible numbers of children are 1, 2, or 3.
02

Determine Probabilities for Each Outcome

For 1 child: the chance of having a girl first is \( \frac{1}{2} \).For 2 children: the chance of having a boy first then a girl is \( \frac{1}{2} \times \frac{1}{2} = \frac{1}{4} \).For 3 children: they might have either two boys and then a girl (\( \frac{1}{2} \times \frac{1}{2} \times \frac{1}{2} = \frac{1}{8} \)) or three boys (\( \frac{1}{2} \times \frac{1}{2} \times \frac{1}{2} = \frac{1}{8} \)). Thus, the probability of having 3 children is \( \frac{1}{8} + \frac{1}{8} = \frac{1}{4} \).
03

Construct the Probability Model

The probability model for the number of children is:- 1 child: Probability = \( \frac{1}{2} \)- 2 children: Probability = \( \frac{1}{4} \)- 3 children: Probability = \( \frac{1}{4} \)
04

Calculate Expected Number of Children

The expected number of children is calculated as follows: \[E(X) = 1 \times \frac{1}{2} + 2 \times \frac{1}{4} + 3 \times \frac{1}{4} = \frac{1}{2} + \frac{1}{2} + \frac{3}{4} = \frac{5}{4} + \frac{3}{4} = 2.\]Therefore, the expected number of children is 2.
05

Calculate Expected Number of Boys

The expected number of boys is calculated using the probability model:- For 1 child (0 boys): \( 0 \times \frac{1}{2} = 0 \).- For 2 children (1 boy): \( 1 \times \frac{1}{4} = \frac{1}{4} \).- For 3 children (2 or 3 boys): \( 2 \times \frac{1}{8} + 3 \times \frac{1}{8} = \frac{2}{8} + \frac{3}{8} = \frac{5}{8} \).Add these to find the expected number: \[E(B) = 0 + \frac{1}{4} + \frac{5}{8} = \frac{2}{8} + \frac{5}{8} = \frac{7}{8}.\]Thus, the expected number of boys is \( \frac{7}{8} \approx 0.875 \).

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Key Concepts

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

Expected Value
In probability and statistics, the "expected value" is a foundational concept that helps us understand the average outcome we can "expect" from a random event, over a large number of trials. It is essentially a weighted average of all possible outcomes, where each outcome is weighted by its probability of occurring. In the context of this problem, the expected value tells us the average number of children the couple might have.To find the expected number of children, we multiply the number of children by the probability of having that number of children:- For 1 child: the probability is \( \frac{1}{2} \).- For 2 children: the probability is \( \frac{1}{4} \).- For 3 children: the probability is \( \frac{1}{4} \).Thus, the expected number of children, \( E(X) \), is calculated as:\[ E(X) = 1 \times \frac{1}{2} + 2 \times \frac{1}{4} + 3 \times \frac{1}{4} = 2. \]The expected value helps us determine that, on average, the couple will have 2 children, given their stopping rules. This use of multiplication of outcomes by their probabilities to form a sum is universal in calculating expected values across different types of problems.
Probability
Probability is a way of quantifying how likely an event is to occur. It ranges from 0 to 1, where 0 means an event cannot happen, and 1 means it is certain to happen. In this exercise, we develop a probability model to evaluate the possible outcomes for the number of children the couple may have.A key aspect is understanding the individual probabilities for each outcome, such as:- The probability of having 1 child (a girl on the first try) is \( \frac{1}{2} \), because boys and girls are equally likely.- The probability of having 2 children (a boy first and then a girl) is \( \frac{1}{4} \), calculated as \( \frac{1}{2} \times \frac{1}{2} \).- The probability of having 3 children can happen in two ways: either two boys followed by a girl or three boys, each with a probability of \( \frac{1}{8} \). Adding these gives a total probability of \( \frac{1}{4} \).These outcomes are mutually exclusive, meaning only one will occur when the couple decides to have children under the specified conditions.
Statistics
Statistics provides the tools to analyze and interpret the data arising from processes having random components. In this exercise, statistics aids in shaping our understanding of the potential outcomes through the probability model and calculating expected values. Key statistical concepts applied include: - **Probability Models:** Offering a structured way to represent random events, a probability model for this scenario breaks down the likelihood of each family configuration (number of children). - **Expected Value Calculation:** By using the probabilities and corresponding outcomes, and combining them mathematically, statistics allows for calculating expected values to extrapolate averages from potential outcomes. - **Random Variables:** The number of children is a random variable, which takes on different values based on chance. In constructing the model, we categorize outcomes and determine statistical expectations based on given conditions. Understanding these statistical techniques aids in interpreting not only specific situations such as the couple's family decisions but also more complex random processes encountered in wider real-world contexts.

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Most popular questions from this chapter

Farmers' market. A farmer has \(100 \mathrm{lb}\) of apples and \(50 \mathrm{lb}\) of potatoes for sale. The market price for apples (per pound) each day is a random variable with a mean of \(0.5\) dollars and a standard deviation of \(0.2\) dollars. Similarly, for a pound of potatoes, the mean price is \(0.3\) dollars and the standard deviation is \(0.1\) dollars. It also costs him 2 dollars to bring all the apples and potatoes to the market. The market is busy with eager shoppers, so we can assume that he'll be able to sell all of each type of produce at that day's price. a) Define your random variables, and use them to express the farmer's net income. b) Find the mean. c) Find the standard deviation of the net income. d) Do you need to make any assumptions in calculating the mean? How about the standard deviation?

Pets. The American Veterinary Association claims that the annual cost of medical care for dogs averages \(\$ 100\), with a standard deviation of \(\$ 30\), and for cats averages \(\$ 120\), with a standard deviation of \(\$ 35\). a) What's the expected difference in the cost of medical care for dogs and cats? b) What's the standard deviation of that difference? c) If the costs can be described by Normal models. what's the probability that medical expenses are higher for someone's dog than for her cat? d) What concerns do you have?

Eggs. A grocery supplier believes that in a dozen eggs, the mean number of broken ones is \(0.6\) with a standard deviation of \(0.5\) eggs. You buy 3 dozen eggs without checking them. a) How many broken eggs do you expect to get? b) What's the standard deviation? c) What assumptions did you have to make about the eggs in order to answer this question?

Insurance. An insurance policy costs \(\$ 100\) and will pay policyholders \(\$ 10,000\) if they suffer a major injury (resulting in hospitalization) or \(\$ 3000\) if they suffer a minor injury (resulting in lost time from work). The company estimates that each year 1 in every 2000 policyholders may have a major injury, and 1 in 500 a minor injury only. a) Create a probability model for the profit on a policy. b) What's the company's expected profit on this policy? c) What's the standard deviation?

Cancelled flights. Mary is deciding whether to book the cheaper flight home from college after her final exams, but she's unsure when her last exam will be. She thinks there is only a \(20 \%\) chance that the exam will be scheduled after the last day she can get a seat on the cheaper flight. If it is and she has to cancel the flight, she will lose \(\$ 150\). If she can take the cheaper flight, she will save \(\$ 100\). a) If she books the cheaper flight, what can she expect to gain, on average? b) What is the standard deviation?

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