Descriptive statistics is one of the main branches of statistics, and one of the most important approaches to its application. This approach is essential when it comes to representing data graphically through tables and figures. And this technique is essential when it comes to quantifying data and making it understandable. And if you are looking to improve your programming and data analysis skills or become a data science specialist, this article is for you. Here we will tell you what this discipline is about and how to put it into practice. What is descriptive statistics?
Descriptive statistics is a vital analytical
Approach in mathematics and Australia Phone Number Data research. It is based on analyzing collected data and then describing, summarizing, and presenting its behavior. Or in other words, translating the data and making it understandable. In addition to describing the data, it also seeks to identify patterns and trends within that data to detect anomalies or unusual data. This approach only studies the data collected in the research , without making inferences or hypotheses. And where is descriptive statistics used? The great advantage of statistics, including descriptive statistics, is that they can be used for all kinds of: Studies. Research. Development programs. Reports. Business projects.
Products releases. Market studies
Performance analysis. Among many Cambodia Phone Number List other applications. In other words, they are useful for all areas, industries and disciplines that use quantifiable data, whether it be education, politics, research, marketing and business management, among others. Types of variables Descriptive statistics works based on the following two types of variables: Quantitative variable This corresponds to all exact numerical values. Values with which you can perform operations and calculations. But let’s see it with real examples: Age: for example, 25 years, 40 years, 65 years. Weight: 60 kg, 75.5 kg, 90.2 kg. Income: $2,000, $5,000, $10,000. Response time: represents the time elapsed between an action and its consequence.
