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Mr. and Mrs. Doran have a genetic history such that the probability that a child being born to them with a certain trait is 
69%. If they have five children, what is the probability that at most one of their five children will have that trait? Round your answer to the nearest thousandth.
Answer:

Mr. and Mrs. Doran have a genetic history such that the probability that a child being born to them with a certain trait is 69% 69 \% . If they have five children, what is the probability that at most one of their five children will have that trait? Round your answer to the nearest thousandth.\newlineAnswer:

Full solution

Q. Mr. and Mrs. Doran have a genetic history such that the probability that a child being born to them with a certain trait is 69% 69 \% . If they have five children, what is the probability that at most one of their five children will have that trait? Round your answer to the nearest thousandth.\newlineAnswer:
  1. Identify Binomial Probability Formula: Identify the binomial probability formula for at most one success: P(Xk)=i=0k(C(n,i)(p)i(1p)(ni))P(X \leq k) = \sum_{i=0}^{k} (C(n, i) \cdot (p)^i \cdot (1-p)^{(n-i)}). Here, nn is the number of trials (children), kk is the maximum number of successes (children with the trait), and pp is the probability of success (child having the trait).n=5n = 5k=1k = 1p=0.69p = 0.69
  2. Calculate Probability of No Children: Calculate the probability of having no children with the trait k=0k = 0. Using the binomial probability formula: P(X=0)=C(5,0)×(0.69)0×(10.69)5P(X = 0) = C(5, 0) \times (0.69)^0 \times (1-0.69)^5. C(5,0)=1C(5, 0) = 1 (since any number choose 00 is 11). (0.69)0=1(0.69)^0 = 1 (since any number to the power of 00 is 11). (10.69)5=(0.31)5(1-0.69)^5 = (0.31)^5.
  3. Calculate (0.31)5(0.31)^5: Calculate (0.31)5(0.31)^5.(0.31)^5 = 0.31 \times 0.31 \times 0.31 \times 0.31 \times 0.31\.= 0.000286102510.00028610251 (rounded to 1111 decimal places for accuracy in further calculations).
  4. Calculate Probability of One Child: Calculate the probability of having exactly one child with the trait k=1k = 1. Using the binomial probability formula: P(X=1)=C(5,1)×(0.69)1×(10.69)4P(X = 1) = C(5, 1) \times (0.69)^1 \times (1-0.69)^4. C(5,1)=5C(5, 1) = 5 (since 5!1!×(51)!=5\frac{5!}{1! \times (5-1)!} = 5). (0.69)1=0.69(0.69)^1 = 0.69. (10.69)4=(0.31)4(1-0.69)^4 = (0.31)^4.
  5. Calculate (0.31)4(0.31)^4: Calculate (0.31)4(0.31)^4.$0.31)4=0.31×0.31×0.31×0.31\$0.31)^4 = 0.31 \times 0.31 \times 0.31 \times 0.31.=0.00921161= 0.00921161 (rounded to 88 decimal places for accuracy in further calculations).
  6. Multiply Values for P(X = 11): Multiply the values to find P(X=1)P(X = 1).P(X=1)=5×0.69×0.00921161P(X = 1) = 5 \times 0.69 \times 0.00921161.=0.031824605= 0.031824605 (rounded to 99 decimal places for accuracy in further calculations).
  7. Add Probabilities for Total Probability: Add the probabilities of P(X=0)P(X = 0) and P(X=1)P(X = 1) to find the total probability of at most one child with the trait.\newlineP(X1)=P(X=0)+P(X=1)P(X \leq 1) = P(X = 0) + P(X = 1).\newline=0.00028610251+0.031824605= 0.00028610251 + 0.031824605.\newline=0.032110708= 0.032110708 (rounded to 99 decimal places for accuracy in further calculations).
  8. Round Final Probability: Round the final probability to the nearest thousandth. P(X1)=0.032P(X \leq 1) = 0.032.

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