![]() ![]() The city may not have means to contact certain residents.įor this reason, our sampling frame (the list of residents over 18 that we’re able to actually obtain information on) likely won’t match our target population perfectly.The city may not have complete information about each resident.Some residents may have turned 18 since the most recent census.Some residents may have moved since the most recent census.However, in reality our sampling frame usually doesn’t match our target population perfectly for a list of reasons including: Ideally our sampling frame would contain all 100,000 such residents so that we could obtain a sample that is representative of the target population. For simplicity, let’s assume the city contains 100,000 such residents. The target population includes every resident in the city over 18 years old. Suppose researchers are interested in estimating the proportion of residents over 18 years old in a certain county that support a certain law. Ideally the sampling frame will be exactly equal to the target population, but this is rarely the case in practice. ![]() The list of items from which a sample is obtained is known as the sampling frame. ![]() Since it’s often too time-consuming and expensive to go around and collect data on every individual in a target population, researchers will instead take a sample from the target population, which is simply a subset of the population. The target population is the complete collection of items that researchers are interested in. What proportion of residents in a certain county support a certain law?.What is the mean square footage of houses in a certain country?.What is the mean household income in a certain city?.What is the mean height of students at a certain school?.Often researchers are interested in answering some question about a population, such as: ![]()
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