Michael, Ronald, Lidia, Alexandra, and Catherine are sharing a basket of fries. The following table shows an incomplete probability model for who will eat the next fry.
\begin{tabular}{cc}
Person & Probability \
\hline Michael & 0.3 \
Ronald & $?$ \
Lidia & 0.1 \
Alexandra & 0.32 \
Catherine & 0.1
\end{tabular}

What is the probability that Ronald will eat the next fry?
Choose 1 answer:
(A) 0.1
(B) 0.18
(C) 0.68
(D) 0.82

Question

Michael, Ronald, Lidia, Alexandra, and Catherine are sharing a basket of fries. The following table shows an incomplete probability model for who will eat the next fry.
\begin{tabular}{cc} 
Person & Probability \
\hline Michael & 0.3 \
Ronald & $?$ \
Lidia & 0.1 \
Alexandra & 0.32 \
Catherine & 0.1
\end{tabular}

What is the probability that Ronald will eat the next fry?
Choose 1 answer:
(A) 0.1
(B) 0.18
(C) 0.68
(D) 0.82

Accepted Answer

∻Solution by Steps∻ ‖ step 1 ⋮ To find the probability that Ronald will eat the next fry, we need to ensure that the total probability for all individuals adds up to 1. ‖ ‖ step 2 ⋮ We add the probabilities of Michael, Lidia, Alexandra, and Catherine: $0.3 + 0.1 + 0.32 + 0.1$. ‖ ‖ step 3 ⋮ The sum of their probabilities is $0.82$. ‖ ‖ step 4 ⋮ To find Ronald's probability, we subtract the sum from 1: $1 - 0.82$. ‖ ‖ step 5 ⋮ Ronald's probability is $0.18$. ‖ ***B*** ∻Key Concept∻ ⚹Total Probability⚹ ∻Explanation∻ ⚹The sum of the probabilities of all possible outcomes in a probability model must equal 1.⚹◊What is the total probability for all individuals to eat the next fry, including Ronald's unknown probability?⍭ Generate me a similar question◊

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