The problem describes the sample proportion ($\hat{\pi}$) from a random sample of 60 U.S. adults regarding whether they haven't read a book in the past 12 months. The given values are:

• Mean ($\mu_{\hat{\pi}}$) = 0.23
• Standard deviation ($\sigma_{\hat{\pi}}$) = 0.0543
• Sample size $n = 60$

Since the sample proportion $\hat{\pi}$ is approximately normally distributed, we can use this information to answer several questions or compute probabilities.

Would you like help with calculating probabilities, constructing confidence intervals, or testing hypotheses using this information?

Here are 5 potential questions to explore:

1. What is the probability that the sample proportion is less than 0.2?
2. What is the probability that the sample proportion is more than 0.25?
3. How do you construct a 95% confidence interval for the true population proportion?
4. How do you test if the population proportion is significantly different from 0.20?
5. What is the probability that the sample proportion falls between 0.2 and 0.25?

Tip: When dealing with sample proportions, it's often useful to check if the conditions for normal approximation (np and n(1-p)) are met for a more accurate approximation.