Final answer:
To estimate the share of foreign products in the American market, a 95% confidence interval for the proportion of 0.34, based on a sample of 100 consumers with 34 users of foreign products, is calculated to be approximately (0.25, 0.43).
Step-by-step explanation:
To estimate the share of foreign products in the American market for certain products, we can calculate a 95% confidence interval around the sample proportion. In the given scenario, a random sample of 100 consumers revealed 34 users of foreign made products, yielding a sample proportion (p') of 0.34 for foreign product usage.
Using the standard formula for a confidence interval, where 'p' is the sample proportion, 'n' is the sample size, and 'Z' is the Z-score for the desired confidence level (1.96 for 95% confidence), the confidence interval (CI) formula looks like this:
CI = p ± Z * sqrt(p(1 - p) / n)
Plugging our numbers:
The confidence interval calculation is:
CI = 0.34 ± 1.96 * sqrt(0.34 * (1 - 0.34) / 100)
Now, simplifying:
CI = 0.34 ± 1.96 * sqrt(0.34 * 0.66 / 100)
CI = 0.34 ± 1.96 * sqrt(0.2244 / 100)
CI = 0.34 ± 1.96 * sqrt(0.002244)
CI = 0.34 ± 1.96 * 0.04738
CI = 0.34 ± 0.09286
CI = 0.34 ± 0.09
Thus, the 95% confidence interval estimate for the share of foreign products is approximately (0.25, 0.43).