$\times 1$
2
$\times 3$
5
6.
7
8
2.
Dr. Howard is a veterinarian who sees only dogs and cats. In each appointment, she may or may not give the animal a vaccine. The two-way frequency table summarizes Dr. Howard"s 50 appointments last week.
\begin{tabular}{|c|c|c|}
\cline { 2 - 3 } \multicolumn{1}{c|}{} & Dog & Cat \\
\hline Vaccine & 12 & 18 \\
\hline No vacdine & 13 & 7 \\
\hline
\end{tabular}
Let vaccine be the event that a randomly chosen appointment (from the table) included a vaccine. Let dog be the event that a randomly chosen appointment (from the table) involved a dog. Find the following probabilities, Write your answers as decimals.
(a) $P($ vaccine $)=[$
(b) P(dog and vaccine) $=\square$
(c) P(dog I vaccine $)=\square$
Check
Final Answer: \(\boxed{(a) P(\text{vaccine}) = 0.6, (b) P(\text{dog and vaccine}) = 0.24, (c) P(\text{dog | vaccine}) = 0.4}\)
Step 1 :Given that Dr. Howard had 50 appointments last week, and the two-way frequency table summarizes the appointments.
Step 2 :From the table, we can see that there were 30 appointments where a vaccine was given (12 to dogs and 18 to cats).
Step 3 :There were also 12 appointments where a dog was given a vaccine.
Step 4 :We can calculate the probability of each event as follows:
Step 5 :(a) The probability that a randomly chosen appointment included a vaccine, denoted as \(P(\text{vaccine})\), is the number of appointments that included a vaccine divided by the total number of appointments. So, \(P(\text{vaccine}) = \frac{30}{50} = 0.6\).
Step 6 :(b) The probability that a randomly chosen appointment involved a dog and a vaccine, denoted as \(P(\text{dog and vaccine})\), is the number of appointments that involved a dog and a vaccine divided by the total number of appointments. So, \(P(\text{dog and vaccine}) = \frac{12}{50} = 0.24\).
Step 7 :(c) The conditional probability that a randomly chosen appointment involved a dog given that it included a vaccine, denoted as \(P(\text{dog | vaccine})\), is the number of appointments that involved a dog and a vaccine divided by the number of appointments that included a vaccine. So, \(P(\text{dog | vaccine}) = \frac{12}{30} = 0.4\).
Step 8 :Final Answer: \(\boxed{(a) P(\text{vaccine}) = 0.6, (b) P(\text{dog and vaccine}) = 0.24, (c) P(\text{dog | vaccine}) = 0.4}\)