The random variable \(X\), representing the amount of time a 4-year-old child on Mercury spends unsupervised per day, is normally distributed. The mean \(\mu\) is 2.9 hours, and the standard deviation \(\sigma\) is 1.4 hours. Therefore, the distribution of \(X\) is:
\[
X \sim N(2.9, 1.4^2)
\]
To find the probability that a child spends less than 2.7 hours unsupervised, we calculate:
\[
P(X < 2.7) = \Phi\left(\frac{2.7 - 2.9}{1.4}\right)
\]
The Z-score is:
\[
Z = \frac{2.7 - 2.9}{1.4} = -0.1429
\]
Using the standard normal distribution table or a calculator, we find:
\[
P(X < 2.7) = \Phi(-0.1429) = 0.4432
\]
To find the percentage of children spending more than 2.3 hours unsupervised, we calculate:
\[
P(X > 2.3) = 1 - P(X \leq 2.3) = 1 - \Phi\left(\frac{2.3 - 2.9}{1.4}\right)
\]
The Z-score is:
\[
Z = \frac{2.3 - 2.9}{1.4} = -0.4286
\]
Using the standard normal distribution table or a calculator, we find:
\[
P(X > 2.3) = 1 - \Phi(-0.4286) = 0.3341
\]
Thus, the percentage of children spending over 2.3 hours is:
\[
33.41\%
\]
- a. The distribution of \(X\) is \(X \sim N(2.9, 1.4^2)\).
- b. The probability that the child spends less than 2.7 hours is \(\boxed{0.4432}\).
- c. The percent of children spending over 2.3 hours is \(\boxed{33.41\%}\).