One Sample T Test

One Sample T Test
Description	A one-sample t-test is a statistical test for determining if the mean of a single sample varies significantly from a hypothesized population mean.
Why to use	To determine if there is statistical difference between sample mean and fixed value.
When to use	Continuous Data Data is normally Distributed	When not to use	Non-normal data distribution
Prerequisites	Normally distributed data
Input	Any dataset containing numerical variables.	Output	It includes several key components that provide information about the statistical significance and confidence intervals associated with the test.
Statistical Methods Used	t-statistics Degree of freedom	Limitations	Small sample size Skewed data Presence of outliers

One Sample t Test is a statistical test for verifying whether the calculated mean differs from a designated value. The designated value is chosen scientifically. This test is used when we do not know the population standard deviation. The formula for One Sample t Test is given as follows.

Where

is the sample mean
μ is the population mean
s is the sample standard deviation
n is the number of elements in the sample