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1. The probability that a randomly selected respondent voted for candidate A can be found by adding up the percentages of each age group who voted for candidate A. The sum of these percentages is 65% + 54% + 51% + 54% + 47% + 47% = 318%. However, since the total percentage should add up to 100%, we need to divide this by 100 to get the probability: 318% / 100% = 3.18 or 3.18%.
2. The probability that a respondent who is among those who voted for candidate A and aged 40-49 years can be calculated by multiplying the percentage of people aged 40-49 who voted for candidate A by the percentage of all respondents who are in that age group. This would be 54% x 16% = 8.64%.
3. To find the probability that a respondent is among those who voted for candidate B or aged 25-29 years, you need to add the percentage of people aged 25-29 who voted for candidate B to the percentage of all respondents who are in that age group. This would be 43% + 7% = 50%.
4. To find the expected number of voters from the group who are 50-64 years old if 1,000 more voters were surveyed, you can multiply the percentage of respondents who are 50-64 years old (30%) by the new total number of respondents (15,590 + 1,000 = 16,590). This would be 30% of 16,590, which is 4,977.
5. To find the expected number of voters who are 25-29 years old or who voted for candidate B if 1,000 more voters were surveyed, you can add the percentage of respondents who are 25-29 years old (7%) to the percentage of respondents who voted for candidate B (31%). Then, multiply the sum by the new total number of respondents (16,590). This would be (7% + 31%) of 16,590.
6. To determine whether it would have been more likely to poll a 50-64-year-old candidate A supporter than a 30-39-year-old candidate B supporter if 1,000 more voters were surveyed, you can compare the probabilities calculated in questions 4 and 5. The group with the higher probability would be more likely to be polled.