The Data Scientist

# Why Bother With Statistics: Three Key Reasons To Understand

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There is a vast sea of data being produced every minute in the modern world. This data needs to be analysed to make important decisions and predictions.

Statistics is an area of study in which mathematical training is required in order to deal with the collection, organization, analysis, interpretation and presentation of data. It uses a combination of tools that allows you to gain crucial insights from data and avoid the common mistakes that lead to erroneous conclusions. It also provides information about the world around us in order to make decisions on the future. It is important for understanding how to make predictions about future events based on past data.

The data collected can also help understand patterns and trends that may not be obvious when looking at the raw data alone. Statistics help us to make sense of all of this data by providing information about things like how much variation we see between different groups of people or how likely something is to happen again in future based on what has happened before.

There are many different fields in which statistics play a vital role. These include business, education, psychology, and medicine among others. Statistics also play an important role in the sciences such as physics and chemistry.

### So, why is Statistics Important?

Here are three critical reasons that will highlight the importance of statistics in the modern age:

1) Draw Valid Conclusions With the Help of Statistics:

Statistics allows you to produce accurate results for various datasets. Statisticians use various tools to draw reasonable conclusions from the collected data. It also plays a major role in collecting data and its implications for any research.

2) Avoid Common Pitfalls During Data Analysis:

With the help of statistics, decision-makers can avoid common pitfalls like overconfidence bias in the data analysis and decision-making process. Confirmation bias can also be removed with the help of reliable conclusions drawn by the statistical tools.

3) Make Decisions More Confidently:

Most decisions in different business situations demand that action be taken immediately. By using statistical analysis, you can make decisions more confidently without the risk of bias creeping into the process.

### Statistical Analysis Methods

Statistical analysis is a technique for drawing conclusions from data. Statistical analysis methods can be applied in a wide range of fields by scientists to analyse the evidence for their hypothesis, in order to help businesses, make predictions and decisions about their products and services.

You can read more about some of the widely used statistical analysis methods here.

Additionally, you can also check out my other post on – Why so many statistical models are wrong?

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