Final answer:
A 95% confidence interval for the percentage of adults not using the Internet is constructed using the sample proportion formula. The calculated interval is approximately (13.87%, 16.11%), indicating that the true percentage of non-users is likely within this range and significantly different from the 2000 percentage of 49%.
Step-by-step explanation:
To construct a 95% confidence interval estimate for the percentage of adults in a country who do not use the Internet, we'll use the provided data: out of a random sample of 5009 adults, 751 do not use the Internet. The point estimate of the proportion is the sample proportion, which is p = 751 / 5009. From this, we can use the standard formula for a confidence interval of a proportion:
Confidence Interval = p ± Z*(√(p(1-p)/n))
In this formula:
p is the sample proportion
n is the sample size
Z* is the Z-score corresponding to the desired confidence level, which is 1.96 for 95% confidence
Plugging in the numbers:
p = 751 / 5009 = 0.1499 (approximately)
Z* = 1.96
√(p(1-p)/n) = √(0.1499(1-0.1499)/5009) = 0.0057 (approximately)
The error margin is Z* × SE = 1.96 × 0.0057 ≈ 0.0112
The 95% confidence interval is therefore (0.1499 - 0.0112, 0.1499 + 0.0112) or approximately (0.1387, 0.1611). This means we are 95% confident that the true proportion of adults who do not use the Internet is between 13.87% and 16.11%.
Since 49% is not within this confidence interval, it appears that the percentage of adults in the country who do not use the Internet has changed since the year 2000.