\begin{tabular}{|c|c|c|}
\hline
Age & Mean & \begin{tabular}{c}
Standard \\
Deviation
\end{tabular} \\
\hline
7 years & 49 inches & 2 inches \\
\hline
\end{tabular}

According to the empirical rule, [tex]$68\%$[/tex] of 7-year-old children are between [tex]$47$[/tex] inches and [tex]$51$[/tex] inches tall.

[tex]$95\%$[/tex] of 7-year-old children are between [tex]$\square$[/tex] inches and [tex]$\square$[/tex] inches tall.



Answer :

To determine the range in which 95% of 7-year-old children fall in terms of height, we will use the empirical rule, also known as the 68-95-99.7 rule. This rule helps us understand that:

- Approximately 68% of the data lies within 1 standard deviation from the mean.
- Approximately 95% of the data lies within 2 standard deviations from the mean.
- Approximately 99.7% of the data lies within 3 standard deviations from the mean.

Given the data:
- Mean height (μ) = 49 inches
- Standard deviation (σ) = 2 inches

For 95% of the data, we need to calculate the range that lies within 2 standard deviations from the mean.

Step-by-step solution:
1. Calculate the lower bound:
[tex]\[ \text{Lower bound} = \text{Mean} - 2 \times \text{Standard deviation} \][/tex]
[tex]\[ \text{Lower bound} = 49 - 2 \times 2 = 49 - 4 = 45 \text{ inches} \][/tex]

2. Calculate the upper bound:
[tex]\[ \text{Upper bound} = \text{Mean} + 2 \times \text{Standard deviation} \][/tex]
[tex]\[ \text{Upper bound} = 49 + 2 \times 2 = 49 + 4 = 53 \text{ inches} \][/tex]

Therefore, based on the empirical rule, 95% of 7-year-old children are between 45 inches and 53 inches tall.

So, the completed sentence is:
"95% of 7-year-old children are between 45 inches and 53 inches tall."