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Joe is new to cooking. The probability that joe burns dinner is 50%

Joe is new to cooking. The probability that joe burns dinner is 50%-example-1
User MSalty
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Given that the probability that Joe burns dinner is:


p=50\text{\%}=(50)/(100)=0.5

You need to use the following Binomial Distribution Formula, in order to solve the exercise:


P(X)=(n!)/((n-x)!x!)\cdot p^x(1-p)^(n-x)

Where "n" is the sample size, "x" is the number of successes desired, and "p" is the probability of getting a success in a trial.

(a) You must find the probability that in the next 7 dinners Joe prepares, 4 of them will burn. Therefore, for this case:


\begin{gathered} n=7 \\ x=4 \end{gathered}

Then, you can substitute values into the formula and evaluate:


P(X=4)=(7!)/((7-4)!4!)(0.5)^4(1-0.5)^(7-4)
P(X=4)\approx0.2734

(b) You must find the probability that in the next 7 dinners Joe prepares, at least 5 of them will burn. Therefore, since "at least" indicates greater than or equal to 5, you need to set up this Sum for:


\begin{gathered} x=5 \\ x=6 \\ x=7 \end{gathered}

Then:


P(X\ge5)=(7!)/((7-5)!5!)(0.5)^5(1-0.5)^(7-5)+(7!)/((7-6)!6!)(0.5)^6(1-0.5)^(7-6)+(7!)/((7-7)!7!)(0.5)^7(1-0.5)^(7-7)

Evaluating, you get:


P(X\ge5)\approx0.2266

(c) You must find the probability that in the next 7 dinners Joe prepares, less than 3 of them will burn. Therefore, you need to set up a Sum for:


\begin{gathered} x=0 \\ x=1 \\ x=2 \end{gathered}

As follows:


P(X<3)=(7!)/((7-0)!0!)(0.5)^0(1-0.5)^(7-0)+(7!)/((7-1)!1!)(0.5)^1(1-0.5)^(7-1)+(7!)/((7-2)!2!)(0.5)^2(1-0.5)^(7-2)

Evaluating, you get:


P(X<3)\approx0.2266

Hence, the answers are:

(a)


0.2734

(b)


0.2266

(c)


0.2266

User Ehp
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