Can you discuss how you would approach selecting an appropriate statistical test for a given research question?

During my final year at university, I worked on a research project analyzing survey data from classmates regarding their study habits. I needed to find out if there was a significant difference in study hours between students who attended lectures regularly versus those who did not. I started by identifying that my data was categorical (lecture attendance) and numerical (study hours). Given this, I decided to use an independent t-test, as it compares the means of two independent groups. I ensured my data met the assumptions of normality and equal variances before proceeding. This experience taught me the importance of understanding both the data and the research question to select the right test.

While volunteering for a local non-profit, I helped organize a community event aimed at increasing youth engagement. After the event, I collected data on attendance and demographics to assess which outreach methods were most effective. I realized I needed to compare attendance rates between different demographic groups. Since my data was nominal (youth engagement categories) and I wanted to compare more than two groups, I opted for a Chi-square test. This choice was based on the categorical nature of my data and the research aim to see if demographic factors influenced attendance. This hands-on experience reinforced my understanding of selecting statistical tests based on the data type and the analysis goal.

In my first job as a marketing assistant, I was involved in analyzing customer satisfaction survey results. We wanted to see if there was a difference in satisfaction levels between customers who purchased online versus in-store. I gathered the data, which was ordinal (satisfaction ratings), and realized I needed to compare two independent groups. Therefore, I chose to use the Mann-Whitney U test, suitable for non-normally distributed data. This decision stemmed from my knowledge of the data and the hypothesis we were testing. By applying the correct statistical test, we were able to provide valuable insights to improve our marketing strategies.