Descriptive and Inferential Statistics Essay 714 Words 3 Pages When faced with an analysis of a situation which deals with a population, an analyzer will incorporate both descriptive and inferential statistics to evaluate his or her results and create a credible conclusion.
Statistics is a branched subject from mathematics. It is a science that focuses mainly on the collection, organization, analysis, interpretation, and presentation of data. When we talk about statistical analysis, there are two concepts that hold vital importance in this field. These are Descriptive Statistics and Inferential Statistics.
Statistics may be classified as descriptive or inferential. While descriptive statistics are concerned with issues such as the average length of hospitalization of a group of patients, inferential statistics are used to address questions such as whether the differences in average lengths of patients in two groups are statistically, significantly different.
Descriptive and Inferential Statistics Statistics is a vital part of the psychological field as the analysis of statistics provides researchers with a means of both describing the results of research and surmising from those results, as well as drawing conclusions related to a hypothesis.
When faced with an analysis of a situation which deals with a population, an analyzer will incorporate both descriptive and inferential statistics to evaluate his or her results and create a credible conclusion. Descriptive statistics provides information focused on an immediate group of data.
Moule (2015) provides a clear definition of both descriptive and inferential statistics. Descriptive statistics represent results and are more centered in explaining properties about a population or data set while inferential statistics are used to infer or measure the probability that an observed outcome or difference is dependable or an aspect of chance.
Inferential statistics are used to make predictions about the interaction (or correlation) between different variables. With inferential statistics, you use statistical formulas to reach conclusions or make predictions that extend beyond describing the total number variables found in the data that you collect.
Two branches of statistics exist, including descriptive and inferential domains. Extrapolation beyond the data is where the real difference emerges. Indeed, these two subcategories vary in function and definition. However, a relationship exists between descriptive and inferential statistics, irrespective of the distinction in purpose and meaning.