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One-Sample T-Test Calculator

Compute the one-sample t-statistic to test whether your sample mean differs significantly from a known or hypothesised population mean. The first inferential test most students learn — used in survey analysis, quality control, and any single-group comparison against a benchmark.

Sample Mean

Population Mean (H₀)

Sample Standard Deviation

Sample Size

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Statistics

Standard Error Calculator

Compute the standard error of the mean (SEM) from the sample standard deviation and sample size, SEM = s/√n. Quantifies how precisely a sample mean estimates the underlying population mean — the foundation of confidence intervals, t-tests, and any inferential statistic.

Standard Deviation

Sample Size

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Key differences

	One-Sample T-Test Calculator	Standard Error Calculator
Category	Statistics	Statistics
Inputs required	4	2
Result	T-Statistic	Standard Error
What it does	Compute the one-sample t-statistic to test whether your sample mean differs significantly from a known or hypothesised population mean. The first inferential test most students learn — used in survey analysis, quality control, and any single-group comparison against a benchmark.	Compute the standard error of the mean (SEM) from the sample standard deviation and sample size, SEM = s/√n. Quantifies how precisely a sample mean estimates the underlying population mean — the foundation of confidence intervals, t-tests, and any inferential statistic.