Answer:
(a) To find the probability that a randomly selected individual is at least 55 years of age, we need to add up the values in the last row of the contingency table corresponding to the age group 55+ and divide it by the total number of respondents:
P(age 55+) = (515 + 617 + 567 + 560) / 2259 ≈ 0.2934
So the probability is approximately 0.2934.
(b) To find the probability that a randomly selected individual is more likely to buy a product emphasized as "Made in our country," given the individual is at least 55 years of age, we need to add up the values in the second row of the contingency table (corresponding to "Yes, more likely") for the age group 55+ and divide it by the total number of respondents in that age group:
P(more likely|age 55+) = 515 / (515 + 617 + 567 + 560) ≈ 0.2281
So the probability is approximately 0.2281.
(c) To determine whether 18-34-year-olds are more likely to buy a product emphasized as "Made in our country" than individuals in general, we need to compare the proportion of respondents who answered "Yes, more likely" in the 18-34 age group to the proportion in the entire sample. We can calculate these proportions by adding up the values in the second row of the contingency table for the 18-34 age group and for the entire sample, respectively, and dividing each by the total number of respondents in each group:
P(more likely|age 18-34) = 206 / (206 + 388 + 393 + 410) ≈ 0.1913
P(more likely|entire sample) = 1397 / (1397 + 69 + 793) ≈ 0.6251
The proportion of 18-34-year-olds who are more likely to buy a product emphasized as "Made in our country" is approximately 0.1913, while the proportion in the entire sample is approximately 0.6251. Therefore, it appears that individuals in general are more likely to buy a product emphasized as "Made in our country" than 18-34-year-olds.
Explanation: