Statistics has changed the game with technological advances. Using it, entrepreneurs, corporations, and large organizations are able to evaluate the audience they want to reach, profits made, product success, etc.
The use of statistics in the academic world is widespread. Students from various fields, including Linguistics or Maths, as well as Marketing, can use statistical analysis to achieve various goals. Writing a good statistics report can be challenging. You should have a basic understanding of math and know how to find data, apply methods, and use formulas. When you add a deadline to the mix, your anxiety levels will rise.
GPALabs is a service that offers professional assistance quickly. But you can do it yourself. It’s possible to create an exclusive, accurate and meaningful statistics report. Are you ready to find out how? Continue reading to learn more.
KNOWING WHAT YOU’RE EXPECTED to DO
No matter if you’re a student, a professional or an employee with a full time job, writing a report is a task that requires certain prerequisites. The report can show the evolution of a habit or trend over time. The report can show how sales have increased or decreased for a particular product. No matter what your job or status is, you should always know the topic you will be writing about.
Try to identify keywords in questions. Highlight the words and make sure you understand their meaning. Stats may cover multiple aspects. You may be asked to interpret data, make assumptions, provide arguments, or explain.
EXCELLENCE VS. QUANTITY
Quantitative and qualitative data are always part of the statistics process. Professional statisticians employ them in different ways. Qualitative data, for example, is preferred when a topic is approached in a more unique and creative way. Qualitative methods are not as popular because they’re not representative. They could also make the report too subjective.
Experts often favor quantitative approaches as they are based on data. Researchers can develop hypotheses using data collected and processed. These methods let us generate results using huge data chunks. Quantitative data is more commonly used.
But we’re not saying that qualitative approaches are a bad thing. Despite their subjective nature, qualitative approaches are important in many reports. We still recommend that you have a quantitative component to your project.
Making Your Report’s Description Simple
Many statistics are bad luck. It’s not due to incorrect data, bad methods or poor quality figures. The study is not clearly described. These reports can have excellent, eye-opening outcomes. However, they are thrown away because they did not consider the central aim of the task or the methods to accomplish it.
Make sure that your report is clear about its purpose and the ways in which you can achieve it. Ask yourself these questions before you start writing.
- What data characteristics will I investigate?
- How many different types of variables will I be studying? How many variables will I study?
- Do I feel confident that the variables listed above (and what they are) will suit my topic? What topic is appropriate?
After you have answers, it is possible to create an introduction that will contain important information on what the report intends and the methods used to reach its goal.
COLLECTING PERTINENT AND CORRECT DATA
The data used in a statistical paper must be accurate and reliable. The data can come from a variety of sources including web pages and journals.
It is important to remember that you should always explain the origin of any data you obtain and how it relates to your project. You should also mention general data characteristics such as objects. Explain which properties of these are critical to the project.
Add Figures
When information is visualized, it’s easier to understand and remember. Statisticians should always include figures, because it makes numbers more readable and easier to interpret. Charts, graphs or tables can be used when appropriate.
Interpreting the Results
Whatever the subject of your report, you must provide results.
The results are not easily understood by everyone. Keep in mind that you will have a mix of people who know the subject and others who don’t.
Use of statistical tools
Statistics has evolved a lot in recent years. These days, Excel is not the only statistical tool available. The latter tool is a powerful way to create statistics reports. If you want to be a Statistician, you should learn the software that is available.
- R remains the same.
- SPSS
- Python
- MATLAB
- Stata
