Table of Contents
What is Test of Significance?
The test of significance is a statistical procedure used to determine whether the difference between two or more groups is statistically significant. The test is used to determine whether the difference is due to chance or is a real difference.
Null Hypothesis
Null hypothesis is a statement that is presumed to be true until proved otherwise. It is the default position and is used to test a new hypothesis. The null hypothesis states that there is no significant difference between the groups being studied. It is usually represented as H0.
Alternative Hypothesis
The alternative hypothesis is the hypothesis that is being tested in a statistical hypothesis test. The alternative hypothesis is the opposite of the null hypothesis.
What is Test of Significance?
A test of significance is a method of statistically testing whether a particular result is likely to have occurred by chance alone. This type of test is used to determine whether a difference observed between two groups is likely to be real, or if it may have arisen by chance.
Let’s Know What Tests for Statistical Significance Tell Us.
A statistical significance test is a technique used in statistics to determine whether the difference between two groups or sets of data is due to chance or some other factor. The test produces a p-value, which is a measure of how likely it is that the difference between the groups is due to chance. If the p-value is below a certain threshold, typically set at 5%, the difference is said to be statistically significant and is not likely to have occurred by chance.
Test of Significance in Statistics
A test of significance is a statistical test used to determine whether the difference between two or more means is statistically significant.
