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Using R Studio:

12. -/7.14 POINTS MY NOTES | ASK YOUR TEACHER Consider data form an unknown distribution: 1.2343570, 0.3324232, 1.6662557, 2.
Raw Data:

1.2343570, 0.3324232, 1.6662557, 2.0070902, 1.0180715, 1.0973873, 0.9800628, 1.3038143, 1.2112012, 2.0542097, 3.4190313, 1.0208111, 0.4859809, 2.9844662, 0.7284487, 1.0756186, 1.1533689, 0.6618844, 1.5124519, 1.8977141, 1.0581120, 2.0050490, 2.2094803, 0.8397246, 0.8992021, 1.4784088, 1.1026311, 1.0410406, 0.6586019, 0.5364670, 0.8715499, 3.1530404, 3.1760521, 0.9095077, 2.2886886, 0.9391151, 1.6690986, 1.1523890, 0.9712097, 1.6797022, 0.6738535, 1.0681820, 2.2015617, 1.7276922, 0.4236641, 2.8815146, 1.0768477, 2.1208690, 1.2903810, 2.2886744
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Answer #1
X \\ X^2

1.234357

1.523637
0.332423 0.110505
1.666256 2.776408
2.00709 4.028411
1.018072 1.03647
1.097387 1.204259
0.980063 0.960523
1.303814 1.699932
1.211201 1.467008
2.05421 4.219777
3.419031 11.68978
1.020811 1.042055
0.485981 0.236177
2.984466 8.907038
0.728449 0.530638
1.075619 1.156955
1.153369 1.33026
0.661884 0.438091
1.512452 2.287511
1.897714 3.601319
1.058112 1.119601
2.005049 4.020221
2.20948 4.881803
0.839725 0.705137
0.899202 0.808564
1.478409 2.185693
1.102631 1.215795
1.041041 1.083766
0.658602 0.433756
0.536467 0.287797
0.87155 0.759599
3.15304 9.941664
3.176052 10.08731
0.909508 0.827204
2.288689 5.238096
0.939115 0.881937
1.669099 2.78589
1.152389 1.328
0.97121 0.943248
1.679702 2.821399
0.673854 0.454079
1.068182 1.141013
2.201562 4.846874
1.727692 2.98492
0.423664 0.179491
2.881515 8.303126
1.076848 1.159601
2.120869 4.498085
1.290381 1.665083
2.288674 5.238031
E[X] E[X^2]
1.444739 2.661471
sigma
0.757759

\\ E[X]=1.444739\\ E[X^2]=2.661471\\ \\ \sigma=0.757759

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Using R Studio: Raw Data: 1.2343570, 0.3324232, 1.6662557, 2.0070902, 1.0180715, 1.0973873, 0.9800628, 1.3038143, 1.2112012, 2.0542097, 3.4190313,...
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