What is the definition of significance? I am very confused and need help!

One definition is “importance.”

"Importance" is one meaning. Here are others, although "importance" is probably the best overall meaning.

https://www.google.com/search?q=define+significance&oq=define+significance&aqs=chrome..69i57.4107j0j7&sourceid=chrome&ie=UTF-8

I'd be happy to help clarify the concept of significance for you!

In statistics, significance refers to the evaluation of whether an observed result is likely due to a real relationship or if it occurred by chance. It helps determine if an effect or difference between groups is statistically meaningful or if it could have happened randomly.

To understand significance, it is essential to consider hypothesis testing. Here are the key steps involved in assessing significance:

1. Formulate a hypothesis: Start by stating your research question and forming a null hypothesis (H₀) and an alternative hypothesis (H₁). The null hypothesis usually assumes that there is no significant difference or relationship between variables, while the alternative hypothesis proposes that there is.

2. Choose a significance level: This is denoted as α (alpha) and represents the maximum probability of rejecting the null hypothesis when it is true. Commonly used values for α are 0.05 or 0.01, but the choice depends on the context and field of study.

3. Gather and analyze data: Collect relevant data and perform statistical tests based on your research design. Different tests exist depending on the nature of your data and research question. The test results will provide a test statistic and a p-value.

4. Interpret the results: The test statistic helps determine the strength of evidence against the null hypothesis, while the p-value quantifies the probability of obtaining a result as extreme as the one observed if the null hypothesis is true. If the p-value is smaller than the chosen significance level (α), the result is considered statistically significant, and the null hypothesis is rejected. Otherwise, the result is not considered significant, and the null hypothesis cannot be rejected.

It is important to note that statistical significance does not imply practical or meaningful significance. It merely indicates the likelihood of obtaining a result by chance. The magnitude and relevance of the effect should also be considered in the interpretation of the results.

I hope this explanation helps you understand the concept of significance better! Feel free to ask any follow-up questions.