As part of this assignment, a survey was conducted to assess the height of 10 male students studying in Miami, Florida. The sample included males aged 20-25 who attend the University of Miami. The sampling method used for the study was convenience sampling because participants were approached on campus. A short, three-question survey was designed to determine each participant’s age, gender, and height. Only the results of participants who met inclusion criteria were considered in the study. The youngest participant was aged 20, and the oldest participant was 25. There were no female students enrolled in the survey because the focus was on the height of male students. This made the sample more interesting because it helped to see variations in height among people of the same gender.
The analysis of data was performed in Excel. The participants’ height ranged from 68 to 76 inches, which is a rather significant variation. The mean height of the selected male students was 71.65 inches, which is comparable to my height of 72 inches. Based on these data, my height is slightly above average among male students in Miami, Florida. The standard deviation of the selected sample was 2.6463, and the rest of the indicators can be seen in Figure 1. Figure 2 also shows Empirical Rule calculations performed in Excel. Based on the results, 68% of the chosen population is between 69 and 74.3 inches tall, and 95% is between 66.4 and 76.9 inches tall. Nearly all of the population (99.7%) would be between 63.7 and 79.6 inches tall. Based on normal probability calculations (Figure 3), about 55% of the relevant population is shorter than me, and 45% is taller.
