Statistics is the science of studying and learning from data. These are not just numbers and facts. It’s a disposition of knowledge and procedures that allow you directly to learn from data reliably. It allows you to evaluate quantitative and qualitative evidence that helps you differentiate between reasonable and doubtful conclusions. In today’s time data are plentiful and they are interpreted by so many scholars without any motivation. Science must progress, make discoveries through the study of data, and help in making predictions. It helps you to understand things more deeply.

Studying statistics is crucial in our time because it involves learning from data, navigating common problems and critically assessing the quality of analyses that others present. It is used to keep records, calculate probabilities gain knowledge, etc. Through numbers and other quantitative information, the world can understand a little bit better. It is used by primary students and MNC professionals in their daily lives. According to psychology, for students who get good command over it, there is a high chance of success. The definition of statistics has been expanded from just a collection of data to a much broader meaning. It is an extremely powerful tool to assess the experimental data and make the right decisions based on it.

Uses of Statistics

It compares data through the mean, median, and mode. It helps in planning data collection in terms of designs and surveys. It is applicable to a wide variety of academic disciplines and is a tool for prediction and forecasting. Statistics is a branch of mathematics that helps to analyze what is happening around us. Applied mathematics is a segment of statistics specialized in data analysis. 

Examples that prove the role of statistics in daily life:

• Government: It helps governments make decisions related to health, populations, education, and more. It is the main tool to assemble the data or take the census of the population of the country and make decisions accordingly. 
• Emergency Preparedness: Through the right predictions about any natural disasters made by scientists with the help of statistics, we can make advanced emergency preparedness. 
• Weather forecasts: This is important for making observations, and prediction models. Statistics functions used for weather forecasting are built into computers and help to compare the pre-recorded seasons and weather. 
• Research: interpretation, explanation, and data acquisition are some of the areas where they play a major role in research work. It can help the researchers summarize, and describe the outcome of the research.  
• Prediction: The figure helps statisticians make future plans and predictions on the basis of past happenings or facts. While making predictions, internal or external factors are taken into account that may affect the future. 
• Quality Testing: For every business, it is important to test the quality of the product and get the real sales and profit that we get from what we spend. 
• Financial Market: Stock prices are calculated through statistics, and investors make decisions accordingly. It directs investors to make decisions on investment in certain stocks and assists corporations in handling their finances to go for long-term business. 
• Business Statistics: Several statistical tools are used for business analysis, such as bell curves, graphs, and probability. These are used to keep records of employees, staff, products, customer service, and more. According to these statistics alone, the future goals of the company are decided. 
• Predicting Disease: Statistics in the medical field help a number of people and the government know how many are affected or infected by a particular disease. By knowing this, they can arrange for required medicines, beds, vaccines, etc.
• Political Campaigns: It is inevitable for political campaigns; it helps politicians predict where they can win the election in a particular area. It helps to find out how many people or candidates are standing in their support. 
• Robotics: Various techniques are applied, such as Kalman filters, particle filters, bayesian networks, etc, and much more. With the help of new sensors, the robots compare the actual and estimated value.
• Aerospace: It is the most important aspect on which aerospace engineering works. Airline industries use this to see how they can work together to make aerospace a better place with the help of statistics.

Conclusion

Statistics plays a major role in our day-to-day life and analyzes a large number of data points and their properties. It is used in various disciplines such as social science, business, humanities, psychology, government, manufacturing, etc. Descriptive and Inferential statistics are two types of methods that are used for collecting and analyzing data. Statistics does not deal with qualitative data, it can only be used for quantitative characteristics. It is a tool that an analyst uses to summarize a data set. If that dataset includes a sample of a larger population, then the analyst can make or develop interpretations about the population based on the statistical results from the sample. It is mostly used in the application of sociology in the field of demography that studies fertility, mortality, population, and so on. The role of mathematics in statistics has increased, which has led to the development of a new branch of statistics called mathematical statistics.