Welcome to the comprehensive final exam in Capacity Planning (CIS 4930/6930). You have 120 minutes. Read each problem carefully. There are ten required problems (each worth 10 points) and one extra credit problem worth 5 points. You may have with you a calculator, pencils, erasers, blank paper, lucky rabbit's foot, and one 8.5 x 11 inch "formula sheet". On this formula sheet you may have anything you want (definitions, formulas, etc.) handwritten by you. You may use both sides. Please start each numbered problem on a new sheet of paper and do not write on the back of the sheets. No sharing of calculators.
Welcome to exam #1 in Capacity Planning (CIS 4930/6930). You have 75 minutes. Read each problem carefully. There are six required problems (each worth 16 points - you get 4 points for "free") and one extra credit problem worth 5 points. You may have with you a calculator, pencils, erasers, blank paper, lucky rabbit's foot, and one 8.5 x 11 inch "formula sheet". On this formula sheet you may have anything you want (definitions, formulas, etc.) handwritten by you. You may use both sides. Computer generated text, photocopies, and scans are not allowed on this sheet. Please submit your formula sheet with your exam. Please start each numbered problem on a new sheet of paper and do not write on the back of the sheets (I really do not care about saving paper!). Submit everything in problem order. No sharing of calculators. Good luck and be sure to show your work!
You can use the Correlation tool to determine whether two ranges of data move together - that is, whether large values of one set are associated with large values of the other (positive correlation), whether small values of one set are associated with large values of the other (negative correlation), or whether values in both sets are unrelated (correlation near zero).So, what is autocorrelation? Autocorrelation measure the dependence between values in a time series separated by a lag. For example, if lag is 10, then the autocorrelation determines the dependence between every value in the time series and the value 10 steps ahead of it. For example, the following time series would have a very high autocorrelation for lag 3 (and 6 and 9 and...):
4, 5, 6, 4, 5, 6, 4, 5, 6, 4, 5, 6, 4, 5, 6, 4, 5, 6, ...
Like with all things... use common sense. You have done many lab reports by now... you should know how to present experiments and results. "Make it nice" sounds like you are going to give me a fancy cover. This is NOT what should be done. You have some experiments to do. Some of the results belong in tables (e.g., mean, variance, etc. for the datasets). Other results belong in graphs (e.g., histograms and autocorrelation). Everything needs to be presented so that comparisons can be made between the I1 and I2 and between am and pm (comparison is the ultimate purpose of this assignment, right?!). All results should be "explained" and insights made. By insights, you need to state what meaning the results have. You should know how to present graphs by now. All axes must be labeled. Units must be used. The graphs must show something "interesting". A graph showing all white space (and any graphs with gray backgrounds will be deducted 15 pts... you tell me why!) is not interesting. Sometimes a log scale is called for. Other times a "blow-up" of a critical portion of a graph is needed.