1. Random sampling: Maria should ensure that she selects her survey participants randomly to avoid any bias in her sample. This can be achieved by using a random number generator or selecting every nth person from a list of residents.
2. Stratified sampling: Maria can divide the residents into different strata (such as age groups or neighborhoods) and then randomly select participants from each strata. This will ensure that all groups are represented in her sample.
3. Simple random sampling: Maria can use a simple random sampling technique where each resident in the town has an equal chance of being selected for the survey. This will help ensure that her sample is representative of the entire town population.
Maria is organizing the food for her town’s fall festival. She will be ordering and providing different protein options for the festival. Maria is unsure whether to order more hotdogs or hamburgers and decided to interview the residents of her town. Instead of interviewing every resident, Maria decides to survey a random sample of people to get the information she needs.
Select all selection options that will provide Maria with the most accurate sample.
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