The excel exercise was an exemplary learning experience. Despite having some challenges, I managed to gather enough details to enhance my discussion of information entry to a considerable extent. I employed a second alternative to complete this section which turn out to flow smoothly despite the technical difficulties that I experienced. Descriptive statistics provide simple summaries about the sample and the measures. From the summaries, you can plot different types of graphs. Descriptive statistics allow the researcher to organize the data in ways that facilitate meaning and insight (Gray, Grove, & Sutherland, 2017). I would definitely use Excel in the future for descriptive analysis, this function is very useful. It provides you with the mean, median, and mode. It also provides you with a standard deviation for each column. The average age of participants was 36 years old. The median for most of the columns was 3-4, except for those that were worried. The median was 2. It took a while for me to figure out how to get the graph. With more practice, I’m confident I could do it again without the tutorials. I am a visual learner, so I prefer graphs instead of tables. It helps me to put things into perspective. I plan to use Excel in future research, especially to make charts.
Reference
Grove, S., Burns, N., & Gray, J. (2013). In E. Saunders (Ed.), The practice of nursing research: Appraisal, synthesis, and generation of evidence, 7th edition (7th edition ed., pp. 408-408). [Retrieved from bookshelf.edu]. Retrieved from: http://www.bookshelf.com/.
AGE 28 34 25 56 23 29 30 59 45 38 33 47 24 29 53 48 27 34 26 36 Cringe 5 2 4 3 5 1 3 2 4 1 3 4 1 5 3 4 2 4 4 5 Uneasy 3 5 4 4 4 5 3 5 2 2 2 2 5 4 1 4 5 4 5 5 Afraid 4 3 4 3 3 3 5 5 5 4 4 3 3 2 5 1 4 3 2 5 Worried 4 2 2 1 3 2 2 1 3 1 3 4 4 1 2 5 3 2 3 4 Understand 3 1 5 2 4 3 5 2 3 1 2 5 4 3 1 3 4 5 2 3