What Simple random sample is
A simple random sample is a subset of a population in which each member of the subset has an equal probability of being chosen. Simple random sampling is the most basic and common type of sampling method used in statistical surveys and experiments.
Steps for Simple Random Sample:
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Define the population: The population is the entire group of individuals or items from which the sample will be drawn.
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Determine the sample size: The sample size is the number of individuals or items to be included in the sample.
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Assign a number to each individual or item: Each individual or items in the population should be assigned a unique number or identifier.
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Generate random numbers: Use a random number generator to generate a set of random numbers that correspond to the assigned numbers of the population.
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Select the sample: The numbers generated by the random number generator are used to select the sample from the population. The individuals or items with numbers that correspond to the generated numbers are included in the sample.
Examples
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A researcher wants to compare the average height of adults in two different cities. A simple random sample of adults from each city can be used to determine the average height of adults in each city.
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A researcher wants to study the impact of a new advertising campaign on consumer behavior. A simple random sample of consumers can be used to assess the effectiveness of the campaign.
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A researcher wants to determine the average income of households in a particular country. A simple random sample of households can be used to determine the average income of households in the country.