What is the quantitative value that is used to test hypothesis?

The quantitative value used to test hypotheses is typically referred to as a test statistic, which is calculated from sample data. This statistic is then compared to a critical value from a statistical distribution (like the t-distribution or normal distribution) to determine whether to reject or fail to reject the null hypothesis. Commonly used test statistics include the t-value, z-value, and F-value, depending on the type of analysis being conducted. The significance level (usually set at 0.05) further helps in making this decision.