First, let's find out the total number of males in the sample. We know that 14 males voted 'yes' and 6 males voted 'no'. So the total number of males is 14 + 6 = 20.
Then, we want to know how many people either answered 'yes' or were male. To do this, we need to add up the number of 'yes' responses to the number of males who answered 'no'. This sum is equal to 33 (yes responses) + 6 (no responses from males) = 39.
Finally, to calculate the probability of this person answering 'yes' or being male, we divide the number of 'yes' responses plus male 'no' respondents (39) by the total number of respondents (100). We round this to two decimal places for accuracy, giving a probability of 0.39.
This means that if one person is selected at random from this sample, there's a 39% chance this person either answered 'yes' to the survey question or was a male. This shows the combined influence of the variables 'answering yes' or 'being male' on the outcomes of the survey.