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Question 3
A college has 80 students in Year 12. 20 students study Biology 28 students study Chemistry 30 students study Physics 7 students study both Biology and Chemistry 11... show full transcript
Step 1
Answer
To represent the given data in a Venn diagram, we would draw three intersecting circles for Biology, Chemistry, and Physics. We will start by labeling the numbers in the overlapping regions:
Step 2
Answer
The number of students studying only Chemistry can be calculated as follows:
egin{align*}
ext{Total studying Chemistry} &= 28
ext{Students studying both Biology and Chemistry} &= 4
ext{Students studying both Chemistry and Physics} &= 8
ext{Students studying all three subjects} &= 3
ext{Students studying only Chemistry} &= 28 - (4 + 8 + 3) = 13
ext{Total students} &= 80
ext{Probability} &= \frac{13}{80} = 0.1625
ext{or } 16.25%
ext{Therefore, } P( ext{Chemistry and not Biology or Physics}) = 0.1625.
\end{align*}
Step 3
Answer
To find this probability, we first find the total studying Chemistry and Physics:
egin{align*}
ext{Total studying Chemistry} &= 28
ext{Total studying Physics} &= 30
ext{Students studying both Chemistry and Physics} &= 8
P( ext{Chemistry or Physics}) & = P( ext{Chemistry}) + P( ext{Physics}) - P( ext{Chemistry and Physics})
&= \frac{28}{80} + \frac{30}{80} - \frac{8}{80}
&= \frac{50}{80} = 0.625
\end{align*}
Thus, the probability that the student studies Chemistry or Physics or both is 0.625.
Step 4
Answer
To calculate the probability that the student does not study Biology given they study Chemistry or Physics:
First, we determine the number of students who study Chemistry or Physics, which is already computed as:
Now, from these, we need to exclude those who study Biology:
Thus, the probability is:
egin{align*} P( ext{Not Biology | Chemistry or Physics}) &= \frac{35}{50} = 0.7 \end{align*}
Step 5
Answer
To determine independence, we check:
egin{align*}
P(B ext{ and } C) &= P(B) imes P(C)
\text{Where } P(B) &= \frac{20}{80} = 0.25
P(C) &= \frac{28}{80} = 0.35
\text{So } P(B ext{ and } C) &= \frac{7}{80}
\0.25 \times 0.35 &= 0.0875
\text{Now comparing: } P(B ext{ and } C) \neq 0.0875
\text{This implies, }\text{they are independent.}
\end{align*}
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