bac-s-maths 2014 Q1

bac-s-maths · France · antilles-guyane 5 marks Conditional Probability Total Probability via Tree Diagram (Two-Stage Partition)
Exercise 1 (5 points)
Part A
An oyster farmer raises two species of oysters: ``the flat'' and ``the Japanese''. Each year, flat oysters represent $15 \%$ of his production. Oysters are said to be of size $\mathrm { n } ^ { \circ } 3$ when their mass is between 66 g and 85 g. Only $10 \%$ of flat oysters are of size $\mathrm { n } ^ { \circ } 3$, whereas $80 \%$ of Japanese oysters are.
  1. The health service randomly selects an oyster from the oyster farmer's production. We assume that all oysters have an equal chance of being selected. We consider the following events:
    • J: ``the selected oyster is a Japanese oyster'',
    • C: ``the selected oyster is of size $\mathrm { n } ^ { \circ } 3$''.
    a. Construct a complete weighted tree representing the situation. b. Calculate the probability that the selected oyster is a flat oyster of size $\mathrm { n } ^ { \mathrm { o } } 3$. c. Justify that the probability of obtaining an oyster of size $\mathrm { n } ^ { \circ } 3$ is 0.695. d. The health service selected an oyster of size $\mathrm { n } ^ { \circ } 3$. What is the probability that it is a flat oyster?
  2. The mass of an oyster can be modeled by a random variable $X$ following the normal distribution with mean $\mu = 90$ and standard deviation $\sigma = 2$. a. Give the probability that the oyster selected from the oyster farmer's production has a mass between 87 g and 89 g. b. Give $\mathrm { P } ( \mathrm { X } \geqslant 91 )$.

Part B
This oyster farmer claims that $60 \%$ of his oysters have a mass greater than 91 g.
A restaurant owner would like to buy a large quantity of oysters but would first like to verify the oyster farmer's claim.
The restaurant owner purchases 10 dozen oysters from this oyster farmer, which we will consider as a sample of 120 oysters drawn at random. His production is large enough that we can treat it as sampling with replacement. He observes that 65 of these oysters have a mass greater than 91 g.
  1. Let F be the random variable that associates to any sample of 120 oysters the frequency of those with a mass greater than 91 g. After verifying the conditions of application, give an asymptotic confidence interval at the $95 \%$ level for the random variable F.
  2. What can the restaurant owner think of the oyster farmer's claim?
\section*{Exercise 1 (5 points)}
\section*{Part A}
An oyster farmer raises two species of oysters: ``the flat'' and ``the Japanese''. Each year, flat oysters represent $15 \%$ of his production.\\
Oysters are said to be of size $\mathrm { n } ^ { \circ } 3$ when their mass is between 66 g and 85 g. Only $10 \%$ of flat oysters are of size $\mathrm { n } ^ { \circ } 3$, whereas $80 \%$ of Japanese oysters are.

\begin{enumerate}
  \item The health service randomly selects an oyster from the oyster farmer's production. We assume that all oysters have an equal chance of being selected.\\
We consider the following events:
\begin{itemize}
  \item J: ``the selected oyster is a Japanese oyster'',
  \item C: ``the selected oyster is of size $\mathrm { n } ^ { \circ } 3$''.
\end{itemize}
a. Construct a complete weighted tree representing the situation.\\
b. Calculate the probability that the selected oyster is a flat oyster of size $\mathrm { n } ^ { \mathrm { o } } 3$.\\
c. Justify that the probability of obtaining an oyster of size $\mathrm { n } ^ { \circ } 3$ is 0.695.\\
d. The health service selected an oyster of size $\mathrm { n } ^ { \circ } 3$. What is the probability that it is a flat oyster?

  \item The mass of an oyster can be modeled by a random variable $X$ following the normal distribution with mean $\mu = 90$ and standard deviation $\sigma = 2$.\\
a. Give the probability that the oyster selected from the oyster farmer's production has a mass between 87 g and 89 g.\\
b. Give $\mathrm { P } ( \mathrm { X } \geqslant 91 )$.
\end{enumerate}

\section*{Part B}
This oyster farmer claims that $60 \%$ of his oysters have a mass greater than 91 g.\\
A restaurant owner would like to buy a large quantity of oysters but would first like to verify the oyster farmer's claim.

The restaurant owner purchases 10 dozen oysters from this oyster farmer, which we will consider as a sample of 120 oysters drawn at random. His production is large enough that we can treat it as sampling with replacement.\\
He observes that 65 of these oysters have a mass greater than 91 g.

\begin{enumerate}
  \item Let F be the random variable that associates to any sample of 120 oysters the frequency of those with a mass greater than 91 g.\\
After verifying the conditions of application, give an asymptotic confidence interval at the $95 \%$ level for the random variable F.
  \item What can the restaurant owner think of the oyster farmer's claim?
\end{enumerate}