Sample size determination is an important as well as a risky task because the size of the sample is very large. If the size of the sample is very large the probability of inaccurate result is more. Using the given formula, we can calculate the sample size.

n = $Z^{2}$$\frac{p(1-p)}{C^{2}}$

Where n is the sample size
          Z is the confidence level value (Standard value is 1.96)
          p is the proportion factor
          C is the margin of error
The steps for calculating the sample size are

Step1: Identify the values of Z, p and C from the question.

Step2: Substitute the values in the above equation and simplify accordingly.