What Random sample is
A random sample is a subset of a population that is chosen using a random selection process. It is a type of sampling method that ensures that each member of the population has an equal chance of being chosen. Random sampling is used to create a representative sample that is representative of the population as a whole.
Steps for Random Sample:
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Define the population: The first step in a random sampling process is to define the population. This is the group of people or items that will be sampled.
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Determine the sample size: The sample size is the number of people or items that will be sampled.
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Select a randomization method: A randomization method is used to select participants or items for the sample. This can be done manually or with software.
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Select the sample: The sample is selected using the randomization method. This ensures that each member of the population has an equal chance of being chosen.
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Analyze the sample: Once the sample is selected, it can be analyzed to draw conclusions about the population as a whole.
Examples
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A researcher wants to determine the political leanings of a state by surveying a sample of 1000 people. A random sample of participants is selected from the state’s population.
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A pharmaceutical company wants to test the effectiveness of a new drug. A random sample of 100 patients is selected from the population to participate in the trial.
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An agricultural scientist wants to measure the yield of a crop in a particular region. A random sample of fields is selected from the region and the yield of each field is measured.