Completing a statistics assignment involves not just doing the math but interpreting your results in a clear fashion as well. Here is the basic process for how to write a statistics assignment interpreting your statistical data.
- Start by describing the problem that you are applying statistics to as well as what it is that you want to prove. For example, by analyzing students’ exam results, you hope to show that female students are more likely to excel at certain subjects compared with their male counterparts.
- Explain how you designed your research, what variables are involved and the statistical methods used.
- Analyze the statistics and describe your findings. Explain the implications of these findings in a broader context.
- If you use tables and graphs in your assignment, make sure that these are used to support your findings. Describe clearly what they mean.
- Finish your assignment with a short summary of your results.
- Read through your assignment to see if it flows naturally and if it is easy to understand.
Here are some other things to keep in mind while writing your statistics assignment.
- Make sure that you understand the statistical procedures that you’re using. If you’re not sure you understand it, talk with a statistics professor or some other expert who can help you. Never attempt to interpret data using a procedure that you don’t understand, since you’ll only come to a wrong conclusion.
- Provide enough data that the reader can make their own interpretation. Doing this will also boost your credibility since it will enable the reader to follow your line of reasoning and see how you achieved your results.
- Use statistics only from sources that are peer-reviewed to ensure that you get the best results. Avoid using statistics that are poorly gathered and are not a representative sample of a particular group or population.
- Always source any statistics you use in the assignment. For example, you can say “according to the US Department of Labor…” This will enable readers to see that your data comes from a reliable source, as well as enabling them to confirm it if they need to.
- Describe how a particular statistic was calculated if you generated it yourself.
- Include a measure of variability if it is appropriate since this gives some insight into the data set you’re using.
- If you are using tables, you don’t need to describe all of the findings that you can derive from it but only the key ones.
- Use only statistics that are relevant to your thesis. If there are any other interesting statistics that you would like to present as a side note, use footnotes
- Make sure that your reader understands which group your statistics are meant to refer to. Don’t generalize. For example, if your statistics cover only female students, don’t interpret the results to cover all students of both genders.
- Present your results clearly in everyday language, and then justify them later using statistical jargon.
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