To find the probability that exactly 30 out of 39 owned dogs are spayed or neutered, we use the binomial probability formula:
\[
P(X = x) = \binom{n}{x} \cdot p^x \cdot q^{n-x}
\]
where:
- \( n = 39 \) (number of trials),
- \( x = 30 \) (number of successes),
- \( p = 0.8 \) (probability of success),
- \( q = 1 - p = 0.2 \) (probability of failure).
Calculating this gives:
\[
P(X = 30) = \binom{39}{30} \cdot (0.8)^{30} \cdot (0.2)^{9} \approx 0.1343
\]
To find the probability that at most 32 dogs are spayed or neutered, we sum the probabilities from 0 to 32:
\[
P(X \leq 32) = \sum_{x=0}^{32} P(X = x)
\]
Calculating this, we find:
\[
P(X \leq 32) \approx 0.0
\]
To find the probability that at least 33 dogs are spayed or neutered, we can use the complement rule:
\[
P(X \geq 33) = 1 - P(X \leq 32)
\]
Since we found \( P(X \leq 32) \approx 0.0 \), we have:
\[
P(X \geq 33) \approx 1 - 0.0 = 1.0
\]
- Probability of exactly 30 spayed or neutered: \( \boxed{0.1343} \)
- Probability of at most 32 spayed or neutered: \( \boxed{0.0} \)
- Probability of at least 33 spayed or neutered: \( \boxed{1.0} \)