How Do You Test For Statistical significance?
In quantitative research, data are analyzed through null hypothesis significance testing, or hypothesis testing What Is A Significance level?
The significance level, or alpha (α), is a value that the researcher sets in advance as the threshold for statistical significance Problems with Relying on Statistical Significance
There are various critiques of the concept of statistical significance and how it is used in research Other Types of Significance in Research
Aside from statistical significance, clinical significance and practical significance are also important research outcomes Other Interesting Articles
If you want to know more about statistics, methodology, or research bias Descriptive statistics are very important because if we simply presented our raw data it would be hard to visulize what the data was showing, especially if there was a lot of it. Descriptive statistics therefore enables us to present the data in a more meaningful way, which allows simpler interpretation of the data.Importance of Descriptive Statistics Descriptive statistics allow for the ease of data visualization. It allows for data to be presented in a meaningful and understandable way, which, in turn, allows for a simplified interpretation of the data set in question.The main purpose of descriptive statistics is to provide information about a data set. In the example above, there are hundreds of baseballs players that engage in thousands of games. Descriptive statistics summarizes the large amount of data into several useful bits of information.
