Answer
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Hint:If the die was thrown once, it has six possible outcomes- A, B, C, D, E. To find the probability of an event, we need to divide the number of favorable outcomes by the total number of all possible outcomes. Thus, probability of an event E is given by
$P(E)=\dfrac{n(E)}{n(S)}$
where,
n(E) is the number of favorable outcomes for event E to occur
n(S) is the total number of all possible outcomes (also called sample space)
For this experiment $n(S)=5$
Complete step by step answer:
(a) Here the event E is getting A which is possible in two ways since A is on two faces. Therefore,
$\begin{align}
& n(E)=2 \\
& P(E)=\dfrac{2}{5} \\
\end{align}$
(b) Here the event E is getting D which is possible only when dice shows D. Therefore,
$\begin{align}
& n(E)=1 \\
& P(E)=\dfrac{1}{5} \\
\end{align}$
Thus, answer for (a) is $\dfrac{2}{5}$ and for (b) is also $\dfrac{1}{5}$
Note: A sample space and an event has much better explanation when represented in the form of a set. Then, sample S is a set having all the possible outcomes of an experiment as its elements while event E is the set of all possible outcomes. Event E is a subset of sample space S. It is very important to define the terms experiment, event and sample space very precisely in probability theory.
.
$P(E)=\dfrac{n(E)}{n(S)}$
where,
n(E) is the number of favorable outcomes for event E to occur
n(S) is the total number of all possible outcomes (also called sample space)
For this experiment $n(S)=5$
Complete step by step answer:
(a) Here the event E is getting A which is possible in two ways since A is on two faces. Therefore,
$\begin{align}
& n(E)=2 \\
& P(E)=\dfrac{2}{5} \\
\end{align}$
(b) Here the event E is getting D which is possible only when dice shows D. Therefore,
$\begin{align}
& n(E)=1 \\
& P(E)=\dfrac{1}{5} \\
\end{align}$
Thus, answer for (a) is $\dfrac{2}{5}$ and for (b) is also $\dfrac{1}{5}$
Note: A sample space and an event has much better explanation when represented in the form of a set. Then, sample S is a set having all the possible outcomes of an experiment as its elements while event E is the set of all possible outcomes. Event E is a subset of sample space S. It is very important to define the terms experiment, event and sample space very precisely in probability theory.
.
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