I take samples in an experiment which results low (around 0) and high (around 60) values.
In many of the tests, there are more high values at the end of the experiment than at the beginning. The time is represented with the X-values and the results are the Y-values.
The representation of the data result of the experiment is this:
ListPlot[{{0, -4.21971153288256}, {7.4 E -
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{0.28290000000000004, 1.234066642921982}, {0.28339000000000003,
5.240926169367476}, {0.2838800000000001,
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{0.28486000000000006, -2.467018490183293}, {0.28535000000000005,
3.248076617948059}, {0.28584000000000004,
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{0.29149, 0.9960194742006857}, {0.2919800000000001,
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{0.29296000000000005, 66.50454577845349}, {0.29579000000000005,
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4.117104879855736}, {0.29775000000000007,
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{0.29873000000000005, 64.32067598808077}, {0.3013100000000001,
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56.98606219388389}, {0.31134000000000006,
4.980633954811599}, {0.31183000000000005, -4.6301903801394335}, \
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63.95605627626586}, {0.31895, -3.450437703425843}, \
{0.31986000000000003, -2.699996824957098}, {0.32035,
1.6027802902327886}, {0.32084, -3.007212767609859}, \
{0.32158000000000003, 64.13884722410792}, {0.32416,
65.48721757034359}, {0.32674000000000003,
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10.951859728747952}, {0.33247000000000004,
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0.014778116592752865}, {0.34075000000000005,
3.443376458104738}, {0.34124000000000004,
6.25976272943825}, {0.34173000000000003,
57.06218119222528}, {0.34431,
3.2391463707720107}, {0.34480000000000005, -1.3438273938690617}, \
{0.34529000000000004,
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{0.34627, 1.9238924131436437}, {0.34676,
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1.6928165390996655}, {0.34774000000000005,
66.47557672592701}, {0.35032,
64.3486125289075}, {0.35336000000000006,
3.2986912999693767}, {0.35385000000000005,
70.33279359092458}, {0.35643,
62.895389606619545}, {0.35922000000000004,
66.92701893625318}, {0.36180000000000007,
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4.1379901918787825}, {0.36299000000000003, -1.598772542307922}, \
{0.36348, 5.114699394355895}, {0.36397000000000007,
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{0.36725, -0.6267499642236695}, {0.36774000000000007,
3.5104460366867993}, {0.36823000000000006,
3.070527155297828}, {0.3689700000000001,
0.18130245814864865}, {0.36946000000000007, -1.0024390708763136}, \
{0.36995000000000006, 64.79950963883817}, {0.3725300000000001,
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65.42430365350226}, {0.37860000000000005,
0.2456159154219463}, {0.37909000000000004,
68.51238287516719}, {0.38167000000000006,
2.4713564977510045}, {0.38216000000000006,
60.08237567445215}, {0.3847400000000001,
0.5264570292961943}, {0.3852300000000001, -1.602954870819255}, \
{0.38572000000000006, 64.11154730743226}, {0.38876000000000005,
4.569522969400989}, {0.38925000000000004,
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1.3445384841485923}, {0.39281000000000005,
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{0.39463000000000004, 4.501855730953819}, {0.39512,
60.856900535033134}, {0.39770000000000005,
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3.9349819125415033}, {0.39935000000000004, -1.020364393509662}, \
{0.39984000000000003, 68.75300893687589}, {0.40242,
62.545099481070935}, {0.40521,
64.19819400449468}, {0.40779000000000004,
61.748224401916275}, {0.41037,
61.170857896045774}, {0.41295000000000004,
60.23341683901113}, {0.41553,
3.113661929135624}, {0.41644000000000003,
62.46941797360547}, {0.41902,
64.18975300834128}, {0.42160000000000003,
4.258345246411727}, {0.42276, 65.78388009094328}, {0.42534,
70.04562375163286}, {0.42918, -1.1170643571421572}, \
{0.43009000000000003, 65.45436899727177}, {0.43309000000000003,
0.8414433787470937}, {0.43425, 62.82536787024611}, {0.4383,
6.045428474936849}, {0.43879, 61.81099705276468}, {0.44179,
0.7940558444903262}, {0.44379, 4.844538272800004}, {0.44575,
63.334583316343995}, {0.44854, 65.5698972160897}, {0.45221,
59.691262905445214}, {0.45605, 62.94371499046423}},
PlotRange -> {{0, 0.46}, All}]
I would like to compute the mean value of the experiment but taking into account the time.
Probably, the solution is to get the area of the plot and divide by the period of time, but I do not know if there is a simple way the solve it. I would like to compute the mean without integrating.
Regards
