Step 1: Use the formula of mean.
Since the mean of \(n\) observations is 8, we have:
\[
\frac{x_1+x_2+x_3+\cdots+x_n}{n}=8
\]
It is given that:
\[
\sum_{i=1}^{n-1}x_i=48
\]
So, if the last observation is \(x_n\), then:
\[
\frac{48+x_n}{n}=8
\]
\[
48+x_n=8n
\]
\[
x_n=8n-48
\]
Step 2: Use the formula of variance.
Variance is given as:
\[
\sigma^2=\frac{\sum x_i^2}{n}-\bar{x}^{\,2}
\]
Here, variance \(=16\) and mean \(=8\). Hence:
\[
16=\frac{\sum x_i^2}{n}-64
\]
\[
\frac{\sum x_i^2}{n}=80
\]
\[
\sum x_i^2=80n
\]
Now, it is given that:
\[
\sum_{i=1}^{n-1}x_i^2=496
\]
Therefore:
\[
496+x_n^2=80n
\]
Substituting \(x_n=8n-48\):
\[
496+(8n-48)^2=80n
\]
Step 3: Simplify the equation.
\[
496+64n^2-768n+2304=80n
\]
\[
64n^2-848n+2800=0
\]
Divide by 8:
\[
8n^2-106n+350=0
\]
Now factorizing:
\[
8n^2-56n-50n+350=0
\]
\[
8n(n-7)-50(n-7)=0
\]
\[
(n-7)(8n-50)=0
\]
\[
(n-7)(4n-25)=0
\]
So,
\[
n=7 \quad \text{or} \quad n=\frac{25}{4}
\]
Since \(n\) must be a natural number, we get:
\[
n=7
\]
Step 4: Conclusion.
Hence, the required number of observations is \(7\).
Final Answer: \(7\)