Sean C. answered 02/05/23
Math wiz with knowledge of new and old concepts
The sample proportion is the number of successes divided by the sample size:
p = 58/107 = 0.5413
The standard error of the sample proportion is given by:
SE = sqrt(p * (1 - p) / n) = sqrt(0.5413 * (1 - 0.5413) / 107) = 0.0343
The 90% confidence interval is given by:
p - Z_critical * SE <= p <= p+ Z_critical * SE
where Z_critical is the critical value for the normal distribution such that 90% of the area under the curve is to the left of Z_critical. For a 90% confidence interval, Z_critical = 1.645 (to 3 decimal places).
0.5413 - 1.645 * 0.0343 <= p <= 0.5413 + 1.645 * 0.0343
So, the 90% confidence interval for p is approximately:
0.475 <= p <= 0.608