A pollster agency wants to estimate the proportion of citizens of the European Union who support same-sex unions. She claims that if the sample size is large enough, she does not need to worry about the method of selecting the sample. Is the pollster's statement correct? Explain. Choose the correct answer below. A. The statement is not correct. Samples should be chosen by carefully selecting individuals to represent the population and eliminate bias. B. The statement is not correct. If the sample is too large, it will begin to show signs of bias. C. The statement is not correct. Samples should be chosen randomly to ensure that each individual in the population has about the same probability of being chosen. D. The statement is correct. Any sample that is large enough will remove the possibility of bias and will represent the population

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Mathematics

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7 April, 15:01

A pollster agency wants to estimate the proportion of citizens of the European Union who support same-sex unions. She claims that if the sample size is large enough, she does not need to worry about the method of selecting the sample. Is the pollster's statement correct? Explain. Choose the correct answer below. A. The statement is not correct. Samples should be chosen by carefully selecting individuals to represent the population and eliminate bias. B. The statement is not correct. If the sample is too large, it will begin to show signs of bias. C. The statement is not correct. Samples should be chosen randomly to ensure that each individual in the population has about the same probability of being chosen. D. The statement is correct. Any sample that is large enough will remove the possibility of bias and will represent the population

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Johnny Shields · Answer 1

C. The statement is not correct. Samples should be chosen randomly to ensure that each individual in the population has about the same probability of being chosen.

Step-by-step explanation:

Random sampling ensures that all the individuals in a population has a chance to be chosen to participate. This method also ensures that they get an unbiased result. Even with a large sample size, the selection of the sample is integral to ensure that the researcher gets an unbiased representation of the group.