Get the answers you need at Westonci.ca, where our expert community is always ready to help with accurate information. Get immediate and reliable answers to your questions from a community of experienced experts on our platform. Explore comprehensive solutions to your questions from knowledgeable professionals across various fields on our platform.

The table below gives the probability density of balls remaining for a game of Bingo.

\begin{tabular}{|c|c|c|c|c|c|}
\hline
Letter & B & I & N & G & O \\
\hline
Probability & 0.16 & 0.22 & 0.18 & 0.26 & 0.18 \\
\hline
\end{tabular}

If a ball is selected at random, what is the probability that its letter is a [tex]$B$[/tex] or [tex]$O$[/tex]?
[tex]\[ P = ? \][/tex]


Sagot :

To determine the probability that a randomly selected ball from the Bingo game has a letter [tex]\(B\)[/tex] or [tex]\(O\)[/tex], we can use the probabilities given in the table.

Here's the step-by-step solution:

1. Identify the given probabilities:
- Probability of selecting a ball with the letter [tex]\(B\)[/tex] is [tex]\(0.16\)[/tex].
- Probability of selecting a ball with the letter [tex]\(O\)[/tex] is [tex]\(0.18\)[/tex].

2. Use the rule of addition:
The rule of addition for probabilities states that if we want to find the probability of one of several mutually exclusive events happening, we simply add their probabilities. Since [tex]\(B\)[/tex] and [tex]\(O\)[/tex] are mutually exclusive (a ball cannot be labeled with both letters), we add their probabilities.

3. Calculate the combined probability:
[tex]\[ P(\text{B or O}) = P(B) + P(O) \][/tex]
Substituting in the values:
[tex]\[ P(\text{B or O}) = 0.16 + 0.18 \][/tex]

4. Add the probabilities:
[tex]\[ P(\text{B or O}) = 0.34 \][/tex]

Thus, the probability that a randomly selected ball has a letter [tex]\(B\)[/tex] or [tex]\(O\)[/tex] is
[tex]\[ P(\text{B or O}) = 0.34. \][/tex]

Now, to ensure accuracy and confirm the computational process:
The sum [tex]\(0.16 + 0.18\)[/tex] mathematically yields [tex]\(0.33999999999999997\)[/tex] due to floating-point representation in calculations, and when rounded to a suitable precision, it becomes [tex]\(0.34\)[/tex]. Hence, the accurate probability is:

[tex]\[ P(\text{B or O}) = 0.34. \][/tex]