R 스터디) pnorm, qnorm, 정규분포, normal distribution

허승희·2025년 6월 26일

x <- seq(40,120, length=300) #300개를 40부터 120까지 컴퓨터가 알아서 쪼개준다,
x
[1] 40.00000 40.26756 40.53512 40.80268 41.07023 41.33779
[7] 41.60535 41.87291 42.14047 42.40803 42.67559 42.94314
[13] 43.21070 43.47826 43.74582 44.01338 44.28094 44.54849
[19] 44.81605 45.08361 45.35117 45.61873 45.88629 46.15385
[25] 46.42140 46.68896 46.95652 47.22408 47.49164 47.75920
[31] 48.02676 48.29431 48.56187 48.82943 49.09699 49.36455
[37] 49.63211 49.89967 50.16722 50.43478 50.70234 50.96990
[43] 51.23746 51.50502 51.77258 52.04013 52.30769 52.57525
[49] 52.84281 53.11037 53.37793 53.64548 53.91304 54.18060
[55] 54.44816 54.71572 54.98328 55.25084 55.51839 55.78595
[61] 56.05351 56.32107 56.58863 56.85619 57.12375 57.39130
[67] 57.65886 57.92642 58.19398 58.46154 58.72910 58.99666
[73] 59.26421 59.53177 59.79933 60.06689 60.33445 60.60201
[79] 60.86957 61.13712 61.40468 61.67224 61.93980 62.20736
[85] 62.47492 62.74247 63.01003 63.27759 63.54515 63.81271
[91] 64.08027 64.34783 64.61538 64.88294 65.15050 65.41806
[97] 65.68562 65.95318 66.22074 66.48829 66.75585 67.02341
[103] 67.29097 67.55853 67.82609 68.09365 68.36120 68.62876
[109] 68.89632 69.16388 69.43144 69.69900 69.96656 70.23411
[115] 70.50167 70.76923 71.03679 71.30435 71.57191 71.83946
[121] 72.10702 72.37458 72.64214 72.90970 73.17726 73.44482
[127] 73.71237 73.97993 74.24749 74.51505 74.78261 75.05017
[133] 75.31773 75.58528 75.85284 76.12040 76.38796 76.65552
[139] 76.92308 77.19064 77.45819 77.72575 77.99331 78.26087
[145] 78.52843 78.79599 79.06355 79.33110 79.59866 79.86622
[151] 80.13378 80.40134 80.66890 80.93645 81.20401 81.47157
[157] 81.73913 82.00669 82.27425 82.54181 82.80936 83.07692
[163] 83.34448 83.61204 83.87960 84.14716 84.41472 84.68227
[169] 84.94983 85.21739 85.48495 85.75251 86.02007 86.28763
[175] 86.55518 86.82274 87.09030 87.35786 87.62542 87.89298
[181] 88.16054 88.42809 88.69565 88.96321 89.23077 89.49833
[187] 89.76589 90.03344 90.30100 90.56856 90.83612 91.10368
[193] 91.37124 91.63880 91.90635 92.17391 92.44147 92.70903
[199] 92.97659 93.24415 93.51171 93.77926 94.04682 94.31438
[205] 94.58194 94.84950 95.11706 95.38462 95.65217 95.91973
[211] 96.18729 96.45485 96.72241 96.98997 97.25753 97.52508
[217] 97.79264 98.06020 98.32776 98.59532 98.86288 99.13043
[223] 99.39799 99.66555 99.93311 100.20067 100.46823 100.73579
[229] 101.00334 101.27090 101.53846 101.80602 102.07358 102.34114
[235] 102.60870 102.87625 103.14381 103.41137 103.67893 103.94649
[241] 104.21405 104.48161 104.74916 105.01672 105.28428 105.55184
[247] 105.81940 106.08696 106.35452 106.62207 106.88963 107.15719
[253] 107.42475 107.69231 107.95987 108.22742 108.49498 108.76254
[259] 109.03010 109.29766 109.56522 109.83278 110.10033 110.36789
[265] 110.63545 110.90301 111.17057 111.43813 111.70569 111.97324
[271] 112.24080 112.50836 112.77592 113.04348 113.31104 113.57860
[277] 113.84615 114.11371 114.38127 114.64883 114.91639 115.18395
[283] 115.45151 115.71906 115.98662 116.25418 116.52174 116.78930
[289] 117.05686 117.32441 117.59197 117.85953 118.12709 118.39465
[295] 118.66221 118.92977 119.19732 119.46488 119.73244 120.00000

  • 그래프 그려보기

x <- seq(40,120, length=300)
x
y <- dnorm(x,mean=80, sd=10)
y
plot(x,y) #라인으로 보고싶다고 하면, plot(x,y,type='l') type으로 엘을 적어주면 된다.

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