Reposting question with full context as not enough information was provided before.

1. You will analyze centre of pressure (COP) data for trial: eyes open two legged stance
2. The data was collected at a sampling rate of 100 Hz for 15 seconds.
3. For each condition, calculate the following parameters for the COP in the X (anteroposterior) and Y (mediolateral) directions. Note: the answers should be calculated in centimetres (cm)
   1. X and Y standard deviation (cm)
   2. Max. and min. sway (X and Y)
   3. X and Y sway range (cm)
   4. Sway path (cm)

The only variables I am given are Time (s), COP X, and COP Y, and I need to solve for the other variables.

Attached below is the already solved example document, I just need to know the formula for each column so I can apply my own data and complete the given spreadsheet.

Time (s) COP X COPY Mean X Mean Y Norm COP X Norm COPY Sway Path SD X SD Y Max X Max Y Min X Min Y Sway Range X Sway Range Y Sway Path (cm 0.001 0.007878 0.079905 0.180654 0.200656 0.1727763 -0.12075071 0.010575728 1.68 5.68 3.88 9.60 -4.32 -9.44 8.20 19.04 197.18 0.002 0.018103 0.082606 0.180654 0.200656 -0.1625513 -0.11804971 0.009552213 0.003 0.027337 0.085051 0.180654 0.200656 -0.1533173 -0.11560471 0.008670807 0.004 0.035718 0.087274 0.180654 0.200656 -0.1449363 -0.11338171 0.007906574 0.005 0.043359 0.089306 0.180654 0.200656 -0.1372953 -0.11134971 0.007239612 0.006 0.050354 0.091172 0.180654 0.200656 -0.1303003 -0.10948371 0.006654848 0.007 0.056783 0.092891 0.180654 0.200656 -0.1238713 -0.10776471 0.006138756 0.008 0.062712 0.094482 0.180654 0.200656 -0.1179423 -0.10617371 0.005681349 0.009 0.068198 0.095959 0.180654 0.200656 -0.1124563 -0.10469671 0.005273676 0.01 0.073289 0.097335 0.180654 0.200656 -0.1073653 -0.10332071 0.004908197 0.011 0.078026 0.09862 0.180654 0.200656 -0.1026283 -0.10203571 0.00458105 0.012 0.082446 0.099824 0.180654 0.200656 -0.0982083 -0.10083171 0.004286885 0.013 0.086581 0.100955 0.180654 0.200656 -0.0940733 -0.09970071 0.004018688 0.014 0.090456 0.10202 0.180654 0.200656 -0.0901983 -0.09863571 0.003777422 0.015 0.094097 0.103026 0.180654 0.200656 -0.0865573 -0.09762971 0.003556773 0.016 0.097524 0.103978 0.180654 0.200656 -0.0831303 -0.09667771 0.003355507 0.017 0.100756 0.10488 0.180654 0.200656 -0.0798983 -0.09577571 0.003171965 0.018 0.10381 0.105737 0.180654 0.200656 -0.0768443 -0.09491871 0.003002991 0.019 0.1067 0.106553 0.180654 0.200656 -0.0739543 -0.09410271 0.002847351 0.02 0.109439 0.107331 0.180654 0.200656 -0.0712153 -0.09332471 0.002705316 0.021 0.11204 0.108075 0.180654 0.200656 -0.0686143 -0.09258071 0.002573179 0.022 0.114513 0.108786 0.180654 0.200656 -0.0661413 -0.09186971 0.002450804 0.023 0.116867 0.109468 0.180654 0.200656 -0.0637873 -0.09118771 0.00233736 0.024 0.119111 0.110122 0.180654 0.200656 -0.0615433 -0.09053371 0.002232444 0.025 0.121253 0.110751 0.180654 0.200656 -0.0594013 -0.08990471 0.002134534 0.026 0.1233 0.111356 0.180654 0.200656 -0.0573543 -0.08929971 0.002042952 0.027 0.125258 0.111939 0.180654 0.200656 -0.0553963 -0.08871671 0.001958659 0.028 0.127134 0.112502 0.180654 0.200656 -0.0535203 -0.08815371 0.001879451 0.029 0.128933 0.113046 0.180654 0.200656 -0.0517213 -0.08760971 0.00180437 0.03 0.130659 0.113572 0.180654 0.200656 -0.0499953 -0.08708371 0.001734372 0.031 0.132317 0.114081 0.180654 0.200656 -0.0483373 -0.08657471 0.001669749