What is Hypothesis Testing in Statistics?
Hypothesis Testing is a statistical method used to determine whether there is evidence in a sample of data to suggest that a certain condition or relationship exists in a larger population. The process involves specifying a null hypothesis, which represents the default assumption or status quo, and an alternative hypothesis, which represents the claim or condition that is being tested.
Then a test statistic is calculated based on the sample data, and a p-value is determined, which represents the probability of obtaining the observed test statistic (or a more extreme value) under the assumption that the null hypothesis is true. If the p-value is less than a pre-determined significance level (usually 0.05), the null hypothesis is rejected in favor of the alternative hypothesis, indicating that there is significant evidence to suggest that the condition or relationship exists in the larger population.
How to Calculate Standardized Test Statistic?
Standardized Test Statistic calculator uses Standardized Test Statistic = (Statistic-Parameter)/(Standard Deviation of Statistic) to calculate the Standardized Test Statistic, Standardized Test Statistic formula is defined as the value obtained by subtracting the population parameter from the sample statistic and dividing the result by the standard error. Standardized Test Statistic is denoted by tStandardized symbol.
How to calculate Standardized Test Statistic using this online calculator? To use this online calculator for Standardized Test Statistic, enter Statistic (S), Parameter (P) & Standard Deviation of Statistic (σ) and hit the calculate button. Here is how the Standardized Test Statistic calculation can be explained with given input values -> 1.2 = (160-40)/(50).