I'm working on a case study where the number of phone calls (min = 0 calls and max = 10 calls) is measured every 30 seconds in a metro station. The experiment was done three times during on day where the number of phone calls were measured every 30 seconds for one hour. Hence, the data that has been collected has three experiments. Each experiment therefore has 120 measurements of phone calls ranging from 0 to 10. The data in my excel sheet has three columns (one for each experiment) and each column has 120 entries.
Experiment 1 | Experiment 2 | Experiment 3 10 2 5 5 3 2 8 1 5 1 1 6 . . . . . .
What I'm trying to figure out is how to determine if the data I have is normally distributed and if my sample mean is normally distributed. The first thing that came to find is to figure out the frequency of the number of phone calls and throw them in a histogram, but the histogram is all over the place and has no normal distribution feel to it and cannot conclude the data is not normally distributed.
Experiment 1 2 3 Mean 5.150 4.567 5.092 = 4.936 E(X-bar) STD 2.975 2.734 2.959 VAR 8.851 7.475 8.756