bac-s-maths 2023 Q1

bac-s-maths · France · bac-spe-maths__metropole_j1 Conditional Probability Direct Conditional Probability Computation from Definitions
A technician controls the machines equipping a large company. All these machines are identical. We know that:
  • $20\%$ of machines are under warranty;
  • $0.2\%$ of machines are both defective and under warranty;
  • $8.2\%$ of machines are defective.
The technician tests a machine at random. We consider the following events:
  • G: ``the machine is under warranty'';
  • $D$: ``the machine is defective'';
  • $\bar{G}$ and $\bar{D}$ denote respectively the complementary events of $G$ and $D$.

The probability $p_{G}(D)$ of event $D$ given that $G$ is realized is equal to: a. 0.002 b. 0.01 c. 0.024 d. 0.2
A technician controls the machines equipping a large company. All these machines are identical. We know that:
\begin{itemize}
  \item $20\%$ of machines are under warranty;
  \item $0.2\%$ of machines are both defective and under warranty;
  \item $8.2\%$ of machines are defective.
\end{itemize}
The technician tests a machine at random. We consider the following events:
\begin{itemize}
  \item G: ``the machine is under warranty'';
  \item $D$: ``the machine is defective'';
  \item $\bar{G}$ and $\bar{D}$ denote respectively the complementary events of $G$ and $D$.
\end{itemize}

The probability $p_{G}(D)$ of event $D$ given that $G$ is realized is equal to:\\
a. 0.002\\
b. 0.01\\
c. 0.024\\
d. 0.2