Answer:
The sample size should be approximately 167.
Explanation:
We are given the following in the question
Sample size, n = 10
Confidence level = 99%
Significance level = 0.01
Standard deviation, σ = 50
Error = 10
Formula:
![\text{Marginal error} = z_(critical)(\sigma)/(√(n))](https://img.qammunity.org/2021/formulas/mathematics/college/bg56tmxcykggyug7kx7h6lbvixmjlyibi8.png)
Ptting values, we get,
![z_(critical)\text{ at}~\alpha_(0.05) = \pm 2.58](https://img.qammunity.org/2021/formulas/mathematics/college/79xmqsmjeamtlsk6jkqihibmezpjcvufnm.png)
![10 = 2.58* (50)/(√(n))\\\\n = \bigg((2.58* 50)/(10)\bigg)^2\\\\n = 166.41\approx 167](https://img.qammunity.org/2021/formulas/mathematics/college/t308jx2sult7mzfbrpasw8pp06oe5jcf3q.png)
The sample size should be approximately 167.