Tips for completing a statistical research project

Jan 20
13:11

2015

Rohit Kaushik

Rohit Kaushik

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There are many students who do research in statistics.

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There is a growing demand in fields like social service,Tips for completing a statistical research project Articles government work and marketing to understand various realities with the use of numbers. There are many formulas and tools in this discipline that teach students how to decipher data and glean information out of a maze of numbers. Those who master this skill go on to achieve successful careers. That is why statistical research has become so valuable.

One of the things that they learn early on is that research is one percent inspiration with the rest of it being perspiration. While they might stumble upon a research topic quite early, they have to spend the rest of their time working hard to prove their hypothesis. There are times when they think that they have discovered the answer only to learn that it was not the right one, and they have to go back to the drawing board. So what are the tips that statistical researchers can follow to complete a project in their chosen discipline.

Develop the right techniques

One of the lessons that the researchers learn early on is that they need sound techniques. They cannot arrive at the right conclusions unless they follow the right process. They have to discover early on in their investigation what the right process for them is. If the process is wrong and the techniques that they use are incorrect then the conclusions that they will arrive at will also be incorrect.

The worst part for many researchers comes when they do not realise that the methods they are following are wrong, and they never come to understand that the answers they have derived are also not right. It is only when their work is sent for submission in front of a review board do they come to know that what they have been doing is not right. By that time it is too late to avoid professional and academic embarrassment. That is why even if the answers do not come straight away, and it takes a long time to prove the hypothesis, make sure to follow the correct process.

Use technology for help with statistical work

There is plenty of useful technology in the market when it comes to statistical work. There are tools like STATA that can solve the toughest problems and provide the right output from big data that makes life easy for the best of researchers. It is a good idea to use these tools and find answers that might otherwise take a long time.

Even if the researchers are not familiar with these tools they should make it a point to get familiar with them so that it may come in useful with their work. There are many training modules on the Internet that can be easily accessed. One can do some self study and learn these things by themselves. Log on to the Internet and find some good sites where you can find these applications and then learn it whenever there is free time. Lessons on these applications are a good base for statistical work.

Attend seminars and discuss ideas with other statisticians

Statistics is a vast field and there is no end to what researchers can do with it and how much they can learn from it. That is why one should listen to other statisticians, and discuss their work, attend seminars, engage them in lively debate, listen to their views on various matters, ask them questions, and overall try and glean as much knowledge as they can. The more they listen and the more they read about what is going on in their field of statistics, the more researchers will find that they are able to handle their own work very well. They get new ideas and they develop new theories that allow them to achieve more success in their chosen discipline.

Master the art of writing statistics

In any research project, there will be a fair bit of writing involved as well; this field is not just about numbers, graphs and charts. While it is natural to spend a lot of time working with numbers and designing graphs, do not neglect the ability to write explanations on this data, and explain complicated formulas with words.