Answer:
The p-value is

Explanation:
From the question we are told that
The sample size is n = 1100
The population proportion is p = 0.50
The sample proportion is

The null hypothesis is

The alternative hypothesis is

Generally the test statistics is mathematically represented as

=>

=>

Generally from the z-table the probability of 2.6533 for a right tailed test is
