To find the probability that exactly 125 out of 250 adults read at least six books, we use the binomial probability formula:
\[
P(X = x) = \binom{n}{x} \cdot p^x \cdot q^{n-x}
\]
where:
- \( n = 250 \) (sample size),
- \( x = 125 \) (number of successes),
- \( p = 0.46 \) (probability of success),
- \( q = 1 - p = 0.54 \) (probability of failure).
Calculating this gives:
\[
P(X = 125) = 0.0226
\]
Next, we calculate the mean, variance, and standard deviation of the binomial distribution:
- Mean \( \mu = n \cdot p = 250 \cdot 0.46 = 115.0 \)
- Variance \( \sigma^2 = n \cdot p \cdot q = 250 \cdot 0.46 \cdot 0.54 = 62.1 \)
- Standard Deviation \( \sigma = \sqrt{npq} = \sqrt{250 \cdot 0.46 \cdot 0.54} = 7.8804 \)
The interpretation of the probability result is as follows:
Out of every 100 samples of 250 adults, approximately \( 2 \) will result in exactly \( 125 \) who state that they have read at least \( 6 \) books within the past year.
To find the probability that fewer than 120 adults read at least six books, we approximate this using the normal distribution. We calculate the Z-scores for the range:
\[
P(X < 120) = \Phi(Z_{end}) - \Phi(Z_{start}) = \Phi(0.6345) - \Phi(-\infty) = 0.7371
\]
The interpretation of the probability result is as follows:
In a sample of 250 adults, approximately \( 74 \) will be expected to state that they have read fewer than \( 6 \) books within the past year.
- Probability of exactly 125: \( P(X = 125) = 0.0226 \)
- Interpretation for part (b): Out of every 100 samples of 250 adults, approximately \( \boxed{2} \) will result in exactly 125 who state that they have read at least 6 books within the past year.
- Probability of fewer than 120: \( P(X < 120) = 0.7371 \)
- Interpretation for part (c): In a sample of 250 adults, approximately \( \boxed{74} \) will be expected to state that they have read fewer than 6 books within the past year.