One sample t test calculator

Sometimes known as single sample t-test, One sample t-test is a statistical hypothesis testing method. One sample t-test is commonly used to determine the difference between the calculated mean of the sample data that is collected from a single group and the designated value specified by the researcher. 

The designated values that the researcher specifies is the one that does not have anything to do with the data but is an external value which is based on scientific reasons. This designated value is:

• Either a mean previously established in a population
• A standard value of interest
• Or a mean derived from other studies

Like all the hypothesis tests, One sample t-test also works to determine whether the null hypothesis can be rejected or not in favour of the alternative hypothesis. 

• Null hypothesis (H0): “The population mean equals the specified mean value.” 
• Alternative hypothesis (H1): “The population mean is different from the specified mean value.”

The major difference between One sample t-test and other statistical hypothesis tests is that One sample t-test does not compare two groups or does not determine the relationship between two variables. What it straight-up does is compare the data gathered on a single variable from a group with the designated value.