The 95% confidence interval can be interpreted by calculating the standard deviation. The standard deviation is the square root of its variance.
The 95% confidence interval is
.
Given:
The randomly selected men in U.S is
.
The total number of men in U.S is
.
The randomly selected men in Egypt is
.
The total number of men in Egypt is
.
(a)
Calculate the pooled proportion.

Calculate the standard error.

Now, from the standard normal table,

Calculate the confidence interval.

Thus, the 95% confidence interval is
.
(b)
In the given question, the meaning of the given confidence interval is that there is a 95% probability that the true difference in population proportion for the difference in proportion of US men and proportion US women who can identify Egypt on map is
.
(c)
As the whole confidence interval lies above 0, therefore with 95% confidence we can reject the hypothesis that there is no difference in the two proportions.