Nt1310 Unit 4 Mla

MBA: To get my calculations for the GPAs of the students in the MBA program at Whatsamattu U. I created the ranges from 2.5 -4.0. They were split into 6 different ranges. They were 2.5-2.75, 2.75-3.0, 3.0-3.25, 3.25-3.50, 3.50-3.75, 3.75-4.0. I then counted the frequency of each value. The text states that “the frequency column counts the total occurrences of each value”, Mirabella (2011). I found 0 students in the 2.5-2.75 gpa range, 20 in the 2.75-3.0 range, 47 in the 3.0-3.25 range, 44 in the 3.25-3.5 range, 55 in the 3.5-3.75 range, and 34 in the 3.75-4.0 range. The frequencies added together gave me the total of 200. I know this is correct because that is the same amount of students I have in the sample. I then took the individual frequencies and divided them by the total number of students. This gave me my relative frequency. The relative frequency is the percentage of the students who have the same range in their gpa. As stated before there are no students with a gpa in the range of 2.5-2.75, so the numbers for that range, across the board will be 0. The relative frequency for the gpa range of 2.75-3.0 is 10%, 23.5% for 3.0-3.25, 3.25-3.50
I went through the steps the exact same as I did with the MBA calculations. This format was set up the same as the other as far as the ranges and how many values there are. However this time I had different frequencies in the different values. When looking at the gpa range of 2.5-2.75 I discovered there were 0 students in this range. There were 0 in 2.75-3.0 as well. There were 50 in the 3.0-3.25 range, 50 in the 3.25-3.5 range, 50 in the 3.5-3.75 range, and 50 in the 3.75-4.0 range. The values all equal to 200 students. The relative frequency for all values is 25%. This also means that the sum of the cumulative frequency is also the same as the sample size.The cumulative relative frequency also ended up being equal to 100% like it should