To find the probability that exactly 5 out of 10 randomly observed individuals do not cover their mouth when sneezing, we use the binomial probability formula:
\[
P(X = x) = \binom{n}{x} \cdot p^x \cdot q^{n-x}
\]
where:
- \( n = 10 \) (number of trials),
- \( x = 5 \) (number of successes),
- \( p = 0.267 \) (probability of not covering mouth),
- \( q = 1 - p = 0.733 \) (probability of covering mouth).
Calculating this gives:
\[
P(X = 5) = \binom{10}{5} \cdot (0.267)^5 \cdot (0.733)^{5} \approx 0.0724
\]
Thus, the probability that exactly 5 individuals do not cover their mouth is:
\[
\boxed{0.0724}
\]
To find the probability that fewer than 6 individuals do not cover their mouth, we sum the probabilities from 0 to 5:
\[
P(X < 6) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5)
\]
Calculating these probabilities, we find:
\[
P(X < 6) \approx 0.9728
\]
Thus, the probability that fewer than 6 individuals do not cover their mouth is:
\[
\boxed{0.9728}
\]
To determine the probability that fewer than half (i.e., fewer than 5) of the individuals do not cover their mouth, we calculate:
\[
P(X < 5) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4)
\]
Calculating these probabilities gives:
\[
P(X < 5) \approx 0.9004
\]
Since \( 0.9004 \) is significantly greater than \( 0.05 \), it would not be surprising to observe that fewer than half of the individuals do not cover their mouth when sneezing.
Thus, the probability that fewer than half do not cover their mouth is:
\[
\boxed{0.9004}
\]
- Part (a): \( \boxed{0.0724} \)
- Part (b): \( \boxed{0.9728} \)
- Part (c): \( \boxed{0.9004} \)