A statistics research paper is a piece of original research in written form, primarily aimed to be published in an academic journal or magazine and reviewed by the author’s peers. There are no strict requirements as to the assignment’s size, format, number of sources to be used and other characteristics – it is an extremely versatile kind of work, and you should always consult the guidelines of your particular college and ask your instructor about the specifications required in your case.
Research papers in statistics are the main method of moving the research in this discipline forward. They are presented for peer review and don’t exist by themselves, but are intended for discussion and criticism. Although your research paper is just a college assignment, it should fully meet the requirements of this standard. For you, this means that you should carefully prepare your writing for potential counter-arguments and refutations. The quality of your writing depends to a very significant degree on how well you manage to prepare to potential opposition to your point of view. To be fully ready for this, you have to study not just the data sets dealing with the primary subject of your paper, but with all the significant texts about it written before you as well.
In this statistics research paper writing guide, we will cover all the factors that define whether your research paper succeeds or fails.
This is, unmistakably, one of the most important stages of your work – a poorly chosen topic means harder work and worse results. That’s why you cannot approach this step carelessly.
In the end, the topic you choose should at the same time leave you enough space for independent data collection and analysis and provide sufficient background information to build your argument upon.
Here are some examples of good topics you may find helpful in your work:
As you can see from this list of topics, statistical analysis can be applied equally effectively to almost any area of human knowledge.
There are three types of sources to be used when writing statistics papers:
Probably more than any other types of academic assignments, statistics research papers are dependent on the information gathered by students themselves and not found in published sources. That is why methods of your data collection occupy a significant portion of your assignment.
Be very careful when selecting data collection methods. You may be given some recommendations by your instructor – if so, follow them and don’t try to be original, for they know what works for your particular case and what doesn’t. If there are no recommendations, try to obtain them – if you ask intelligent questions, instructors usually don’t refuse to answer them.
You should be as careful as possible when collecting your data. Once the information is collected, it is impossible to correct the mistakes that have been made in the process of gathering it, and the trustworthiness of your entire paper can easily be compromised.
Make sure you provide sufficient information about your data collection methods for your readers to be able to reconstruct your results. Experiments that cannot be repeated aren’t given much value in the academic community.
Your introduction should be, on the one hand, based on facts and, on the other hand, be fascinating and thought-provoking, so that the reader becomes interested in the contents of your paper upon reading just a few lines. In addition to that, it should explain the purpose of your work and smoothly lead to the main content of the paper.
Begin with the so-called a hook – a sentence aimed at grabbing the reader’s attention right off the bat. It may be some interesting statistical information, unexpected piece of data, not a very well-known fact – anything that can pique the audience’s interest and motivate them to read on.
Then move to the thesis statement – a short (no longer than a couple of sentences, and just one if possible) summary of your primary idea behind the entire paper. It is important to understand that a thesis statement is not identical to the topic. A topic simply limits the scope of your research. Thesis statement actively declares what your hypothesis is, and the rest of the paper is dedicated to finding out whether your idea about the subject matter is right or wrong. For example, “Statistical Analysis of Health Benefits of Weight Training vs. Aerobics” is a topic. “Aerobic exercises possess much higher relative health benefits for non-professional sportsmen than weight training” can be a thesis statement for a paper on this topic.
What the body of your paper should contain:
A conclusion is a part where you sum up everything you’ve found out by this point, repeat your thesis statement and decide if your original hypothesis turned out to be true or not. There is not a lot to say about this part: you simply sum up your evidence, explain why you believe the research you’ve carried out to be important, make suggestions for further research in the same area and more or less repeat everything you’ve written up to this moment in short.
You can simply reread your entire paper, trying to notice all the mistakes and flaws in your writing as you go along, but a much more efficient approach to the task of proofreading is using a checklist. You may prepare your own based on the blunders you most often make, or use a ready-made list, like this one:
Writing a statistics research paper is a long, hard and complicated job, but following the right work process, you can make your task considerably easier – we hope that these statistics research paper writing tips will be of help the next time you encounter such an assignment.