Standard Error (SE) Definition: Standard Deviation in Statistics Explained
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Standard Error (SE) Definition: Standard Deviation in Statistics Explained
The standard error is the standard deviation of a sample population. It measures the accuracy with which a sample represents a population.
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SOLVED: First, we need to find the standard error.In the previous module, we learned the formula for calculating the standard deviation of the distribution of sampling proportions.SE = p(1 - p)/nBut we don't know the population proportion, p. So, to calculate the standard deviation (also known as the standard error), we estimate the standard error with the sample proportion p-hat.SE ≈ p-hat(1 - p-hat)/nIn this scenario, we are given that a random sample of 100 part-time college students is 68%
SOLVED: First, we need to find the standard error.In the previous module, we learned the formula for calculating the standard deviation of the distribution of sampling proportions.SE = p(1 - p)/nBut we don't know the population proportion, p. So, to calculate the standard deviation (also known as the standard error), we estimate the standard error with the sample proportion p-hat.SE ≈ p-hat(1 - p-hat)/nIn this scenario, we are given that a random sample of 100 part-time college students is 68%
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7:22
You must c C reate an account to continue watching
257K viewsNov 21, 2023
Study.comBetsy Chesnutt
SOLVED: First, we need to find the standard error.In the previous module, we learned the formula for calculating the standard deviation of the distribution of sampling proportions.SE = p(1 - p)/nBut we don't know the population proportion, p. So, to calculate the standard deviation (also known as the standard error), we estimate the standard error with the sample proportion p-hat.SE ≈ p-hat(1 - p-hat)/nIn this scenario, we are given that a random sample of 100 part-time college students is 68%
SOLVED: First, we need to find the standard error.In the previous mo…
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