What is a margin of error?

The margin of error represents the range of values below and above the sample statistic in a confidence interval. It indicates how much the sample results might differ from the true population.

Should I use the mean or proportion estimate type?

Use 'Mean' when analyzing continuous data like height, weight, or test scores. Use 'Proportion' for categorical data, such as the percentage of people who answered 'yes' to a survey question.

When should I use the t-distribution?

The t-distribution is generally recommended when calculating the margin of error for a mean, especially if the population standard deviation is unknown or the sample size is small.

How does sample size affect the margin of error?

Increasing the sample size decreases the margin of error, leading to a more precise estimate of the population parameter.

What confidence level should I choose?

A 95% confidence level is the standard for most scientific and market research, meaning you can be 95% confident that the true population parameter falls within your calculated margin of error.

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Margin of Error Calculator

Calculate the margin of error for a mean or proportion from sample size, confidence level, and variability

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Calculate mean margin of error

Find the 95% mean margin of error for a sample standard deviation of 15 and sample size of 100

{"result":{"marginOfError":2.9763,"standardError":1.5,"criticalValue":1.9842}}

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SettingsAdjust formats, ranges, numbers, and modes.7

Estimate TypeselectOptionalStandard DeviationnumberOptionalSample SizenumberOptionalConfidence LevelselectOptionalPopulation ProportionnumberOptionalProportion ScaleselectOptionalDecimal PlacesnumberOptional

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Use t Critical Value for MeancheckboxOptionalEnabled when checked

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Margin of Error Calculator

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1. Calculating Margin of Error for a Sample Mean

2. Estimating Survey Proportion Accuracy

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