Simulasi Pembangkit Distribusi
Mochamad Alpan Parhanul Akhyar
2025-03-14
Soal Latihan PSS
1. Modelkan pendapatan bulanan dari 1000 pegawai yang berdistribusi normal dengan rata-rata pendapatan Rp10.000.000,- dan standar deviasi Rp200.000,-.
mu <-10000000
sigma <-200000
n <- 1000
normal_data <-rnorm (n, mean=mu, sd=sigma)
normal_data## [1] 10385901 9957184 10041531 9751929 9489257 9878404 10083181 10005064
## [9] 10303403 9849978 10170442 10099242 10311178 9799610 9993602 9998530
## [17] 9744543 9418104 9768114 9891367 9972510 9633033 10075037 10185140
## [25] 10313140 9878282 9900680 10243365 10087984 10208433 9601951 10331249
## [33] 9921805 10384673 9689175 9447421 10328743 10084760 10413253 10145763
## [41] 9973226 10144338 10364669 9979414 9677878 9822096 10457350 9877690
## [49] 9864423 10036470 10048742 10032062 9876047 10091744 10135704 10179854
## [57] 10131696 9987703 9875951 10156562 9878428 10129619 10012271 9825774
## [65] 9776120 9813312 10215567 9994766 10072745 9815365 10006404 9971292
## [73] 10359823 10180193 9867765 9920232 10075393 9834646 10213180 10076488
## [81] 9735261 9954624 9683316 9757404 10144773 10011229 9644252 9844292
## [89] 10152321 10005672 9815409 9696545 10213403 9878470 10114227 10158280
## [97] 9910849 10469910 10344691 10240654 10014629 9985003 9757407 10296234
## [105] 10014971 9859082 9919167 9916675 10186583 10085629 10311060 9751163
## [113] 10012451 10206005 9919681 9940607 9708450 9670738 9827062 9928874
## [121] 9966670 10207186 10190140 10288285 10017971 10255897 10350980 9739377
## [129] 10137622 9818189 10043181 10053666 9893956 9811075 10470542 9879057
## [137] 9997004 9621010 10030178 10185432 10295820 9466603 10090140 9610773
## [145] 9945283 9853594 9929133 10243552 10086720 10117106 10088312 10035710
## [153] 9843749 9781596 9855796 9467149 10173548 9894884 9685893 9938265
## [161] 10235990 9875283 10294009 9650477 10000588 9472401 10021881 10292423
## [169] 10238128 10179630 10159510 9825350 9998796 9877101 9636592 9977307
## [177] 9894353 10170200 10135407 9846006 10045672 9686545 10098345 10115198
## [185] 10044014 9994253 9969763 9702843 9942120 9928750 10037000 9670577
## [193] 10349996 10310399 9829830 9835743 10261306 9909290 9976681 9687349
## [201] 9729059 9740566 10267534 9833704 9999169 10285161 10032915 10060225
## [209] 10310667 9749408 9699653 10071883 9968453 10274230 10077233 9871700
## [217] 10370186 10249227 9756026 10175524 10043497 9932826 9718894 9872492
## [225] 10040756 9929482 10105378 10067868 10286174 9919980 9324385 9965423
## [233] 10150849 10204302 10209560 10224226 9897809 10218811 10263395 10300537
## [241] 9833440 10016614 10168415 9746024 10116424 9941680 9842615 10103576
## [249] 10112803 10157733 10227777 9800613 9912690 9908456 9711748 9798010
## [257] 9977583 10258895 9669864 10074813 9708514 9877347 10203974 9840167
## [265] 10020157 9960865 10090832 9831311 10103771 10025188 10155450 10113948
## [273] 10490994 10197971 10174732 9535541 10476002 10212752 10146680 10030647
## [281] 10104395 10242125 9918406 9773517 10148718 9999992 10038370 9983309
## [289] 9804112 9961459 9986287 9908914 10107653 9945084 10047691 10238280
## [297] 9884320 9981518 9665241 10032813 10243199 9865237 9822504 9833959
## [305] 9588066 10039961 9822995 10106067 10309050 9920344 9992990 9989809
## [313] 10139754 9580698 9913143 10028888 10078663 9983357 9701143 9999995
## [321] 9969643 10020958 9983769 10104851 9782361 10384040 10251954 10112370
## [329] 9975052 10055789 9790695 10344572 10086190 10176814 9990031 10253316
## [337] 9650359 10244845 9875787 9951611 9872043 10219379 9947377 10293112
## [345] 9699261 10059496 10152203 10287937 9818710 9901324 9736396 10078872
## [353] 9933309 10269725 10111539 9945855 9817263 10204828 9829308 9747965
## [361] 10098066 9849496 10027991 9671507 10082933 10259316 9556186 10014159
## [369] 10404331 9934378 10143097 10148186 10042858 9998535 9679652 10035073
## [377] 9841262 10153713 9657079 10310970 9597221 9862017 9557526 10069477
## [385] 9687212 9998871 10219693 9752951 9877367 9722758 9721747 10005141
## [393] 10533223 10164510 10090933 9867408 9805498 9857647 10108208 10051780
## [401] 10188526 10392123 10055119 10095101 9853810 9924863 9978860 9780783
## [409] 9869170 9753951 10073190 10215177 10181087 9841654 9959798 9973900
## [417] 9863653 10175027 9762151 9853154 10078173 10311993 10044102 9755678
## [425] 10200137 9898062 9908804 9995280 10279954 10111389 10120924 9956196
## [433] 10184353 9752873 9832194 9877078 10007779 10098623 10384063 9983290
## [441] 10241513 10289734 9872976 10022399 10185554 9904520 9912626 9867017
## [449] 9929011 9877660 10167273 10029142 9560021 10205521 9823000 9912376
## [457] 9985829 9762098 9836824 9902722 10223018 10361199 9955380 9795978
## [465] 10569210 10067095 9939188 10069500 10230865 9984856 9925422 9875470
## [473] 9735653 9900251 10017773 9604052 9876904 9694705 9872454 9927915
## [481] 10045509 10058670 10128330 10120777 9934892 10144376 10326102 9790047
## [489] 10088345 9945592 10209239 10021690 9921354 9800361 10104887 9987717
## [497] 9655391 10008490 10309287 9967656 10153713 9985665 10016604 9900609
## [505] 10283166 10126673 10036970 10045401 9957886 10122972 10019839 9725239
## [513] 9859677 10072879 10351781 9791195 10182889 10160750 9960984 9824586
## [521] 9954528 9956119 9986640 9871131 10105472 10254014 10181858 10236616
## [529] 10021667 9876941 9828202 9957092 9994413 9951320 9692041 10255843
## [537] 10236528 9773468 10163465 9897552 9776990 10236333 10112874 9866126
## [545] 10139983 9874412 9685024 10082805 10107278 9867236 9988484 10293905
## [553] 10005061 10084494 9695363 10208437 9949455 9837245 10246246 10034957
## [561] 10045808 10116738 9829750 9811161 9789049 9909934 10331511 9800896
## [569] 10058233 10014889 10112758 9982947 9751169 10130636 10566768 9901188
## [577] 9764325 9706299 10142268 9932936 9686547 9924451 10053122 10329374
## [585] 9677950 10190904 10368505 10143642 10215834 9976104 10062526 10346337
## [593] 10256384 9937335 9886585 9861692 9671762 10084368 9828854 10205506
## [601] 10081104 9996308 10075294 10092483 10119567 10340738 9943557 10356593
## [609] 9890670 10062882 9832666 9888682 10092578 9932754 10035799 10264250
## [617] 10081929 9792520 9931889 10084893 10274886 10279313 9695924 9760852
## [625] 10116575 10255155 10023388 9986324 9862563 10140495 10219188 10106392
## [633] 10214896 10089069 9870126 9977159 10055541 10372292 9810161 10208701
## [641] 10096693 9934880 9866259 9973030 9927540 10028820 9995057 10127996
## [649] 9994010 10224160 9952309 10148597 10434914 9784464 9942110 10153723
## [657] 10036733 10369767 9762226 9832613 10104110 10357052 10144763 10195209
## [665] 9879558 10414983 10143782 10154761 9997216 9843542 9993647 9810602
## [673] 9765047 9878075 10039753 9931286 9904462 9848671 10050138 10130778
## [681] 9880070 9744100 9885875 10129236 10063283 10005349 10060026 9713732
## [689] 9763771 9669163 9881707 9755904 10319810 9842766 9807651 9921398
## [697] 10057431 9860837 9669478 9575242 10031653 10228541 10152350 10382607
## [705] 9956275 9997546 10027704 9972074 9987039 10010282 9811948 9955783
## [713] 9791050 9912447 9887438 9847521 9810223 9886108 10010444 9765042
## [721] 10226019 9744760 9948664 10253055 10012751 10014075 10066378 10430103
## [729] 9975791 9815846 10161476 9921148 9856059 10287066 10132552 10064971
## [737] 9931623 9912734 10075747 10287387 10478930 10214435 10010276 9567341
## [745] 9970000 9785835 9989638 10134474 10143962 9959578 9784368 9669723
## [753] 9868055 10390348 10004589 10082974 10318038 10066858 10220011 9896092
## [761] 10384009 10020730 9899390 9600008 9911773 10128480 10001624 10082435
## [769] 9885500 10288665 9919206 9594503 9808670 9896352 9965940 9979371
## [777] 10189038 10056173 10065331 9703776 10141105 10086388 10221479 10183315
## [785] 9969938 9861637 9895431 9817143 10193035 9887851 10277600 10069424
## [793] 9886096 10523369 10170224 10036619 10122566 9806349 9927999 10242103
## [801] 9771708 10166851 9986247 9836593 9725579 9688024 9842180 9747012
## [809] 10083657 9678853 10079414 9687010 10296676 9732906 10168824 9966363
## [817] 9836007 10144060 10078950 10208758 10073716 9810587 10149507 10544309
## [825] 10034526 9968222 9958680 10075280 10213076 9649424 10135288 10054636
## [833] 9569443 9881343 9867338 9654714 9771300 9315200 10182310 10082507
## [841] 10287569 10077540 9897861 9914797 9677152 9764839 9673930 10062898
## [849] 9815502 10126766 10071877 10016263 10229405 10189294 10268653 9613009
## [857] 9950581 9844802 10046150 10050878 9989523 9822224 9997049 9780536
## [865] 10012479 9699399 9965567 10016808 9863574 10126931 9563753 9866028
## [873] 10033187 10083797 10166992 10091347 9952570 10031547 10253666 9898147
## [881] 9955559 10131862 10096109 10114680 9895856 10083419 9875842 9887735
## [889] 9922984 10344754 10081085 10048036 10187409 9885025 10445047 9607286
## [897] 10196024 10103749 9983393 10181017 10009811 9740796 10201737 10094308
## [905] 9983152 9919789 9749165 10023815 10291231 9994258 10236083 10063780
## [913] 10162277 10245734 10219956 9783755 10059537 10018192 10001686 10169962
## [921] 10237312 9901428 10071361 9705594 10037658 9874701 10174623 10159782
## [929] 10036470 10035166 9791268 10172562 9936164 9932428 10171043 9817563
## [937] 9912735 9746070 9927600 10185124 9825319 9931882 10156715 9927019
## [945] 9904210 10109232 10018675 10291507 9978048 9862181 10054296 9685975
## [953] 9722454 9746016 9857716 9880259 9850576 9923205 10301355 9940567
## [961] 9669335 9772700 10412247 10219041 9807896 9841300 9878779 10134164
## [969] 9793221 9830641 10036359 9743548 9833563 9657270 9833543 9854638
## [977] 9786184 10052659 10256282 10036543 9792804 10305119 10049971 9955769
## [985] 10011663 10236706 10070477 10272052 9991957 9995762 9854827 9856884
## [993] 9985004 9923104 9679921 10093308 10376518 10003601 9820861 10098787hist(normal_data, breaks = 30, main = "Histogram Distribusi Normal", xlab = "Jumlah Kejadian", col = "gray")
2.Modelkan jumlah pelanggan yang datang setiap hari ke suatu restoran yang mengikuti pola distribusi poisson dengan laju kedatangan pelanggan 35 pelanggan perhari.
lambda <-35 #Pelanggan
n <- 30 #perhari
poisson_data <- rpois(n,lambda)
poisson_data## [1] 32 39 45 24 35 30 33 44 30 34 36 36 32 47 38 37 31 36 40 38 26 44 37 26 46
## [26] 31 31 36 33 35hist(poisson_data, breaks = 30, main = "Histogram Distribusi Poisson", xlab = "Jumlah Kejadian", col = "gray")
3. Buatlah dua kasus Anda sendiri dengan melibatkan distribusi variabel random dari teori yang telah dipelajari.
3a Distribusi Uniform “Modelkan durasi waktu pelayanan di sebuah loket tiket yang berdistribusi uniform antara 2 hingga 10 menit.”
set.seed(123) #untuk kunci biar nilai tidak ganti ganti
n <- 1000
uniform_data <- runif (n, min=2, max=10)
uniform_data## [1] 4.300620 8.306441 5.271815 9.064139 9.523738 2.364452 6.224844 9.139352
## [9] 6.411480 5.652918 9.654667 5.626673 7.420565 6.581067 2.823397 9.198600
## [17] 3.968702 2.336476 4.623366 9.636029 9.116315 7.542427 7.124055 9.954158
## [25] 7.245646 7.668244 6.352528 6.753136 4.313278 3.176909 9.704194 9.218392
## [33] 7.525642 8.363739 2.196909 5.822368 8.067676 3.731263 4.545448 3.853006
## [41] 3.142400 5.316371 5.309795 4.950764 3.219558 3.110449 3.864273 5.727700
## [49] 4.127781 8.862622 2.366649 5.537601 8.391399 2.975194 6.487584 3.652251
## [57] 3.020253 8.026463 9.160363 4.995702 7.320922 2.758725 5.071757 4.195069
## [65] 8.517120 5.588131 8.480515 8.499116 8.354739 5.518654 8.035801 7.033769
## [73] 7.681459 2.004998 5.802533 3.760951 5.038532 6.902168 4.814383 2.889083
## [81] 3.948956 7.344445 5.341174 8.305567 2.822917 5.479142 9.879656 9.144409
## [89] 9.091752 3.400421 3.045566 7.224815 4.748132 7.254065 4.562986 3.501529
## [97] 8.258354 2.748760 5.734232 6.092044 6.799912 4.662588 5.908904 9.635791
## [105] 5.863219 9.122802 9.315505 6.869880 5.285518 3.176758 9.482398 4.409831
## [113] 2.485765 9.581816 7.764770 3.138354 6.394277 9.632730 6.683867 5.236082
## [121] 7.183148 4.558565 4.461760 3.758141 4.955911 9.873754 3.233618 2.728352
## [129] 3.135255 7.520057 6.954052 9.131153 7.383993 7.896622 6.169086 7.278708
## [137] 8.574444 8.290252 9.838575 5.515452 4.493618 5.275800 2.083737 3.470796
## [145] 8.741835 3.849294 3.912800 2.613529 3.965789 7.857082 8.779625 5.980218
## [153] 5.103272 3.971592 2.888772 5.119955 6.575483 3.735142 5.558144 3.743925
## [161] 6.018397 4.831237 7.199881 4.997712 4.843563 6.269504 7.922675 3.768824
## [169] 5.301969 4.125493 7.039784 3.470628 8.909153 7.972544 7.346277 6.944143
## [177] 4.977904 6.238685 8.997459 6.654001 8.718142 4.499585 7.666323 4.120142
## [185] 6.754746 5.850318 4.120262 6.516723 9.305506 9.214995 4.193333 4.571862
## [193] 9.885127 6.959946 9.498513 5.732262 5.254661 7.273843 3.218773 6.582936
## [201] 3.909808 9.698871 6.810926 6.120238 5.220587 9.041972 4.912735 4.305914
## [209] 3.365162 3.377374 5.856341 4.023719 3.730038 7.395011 2.381309 7.606825
## [217] 4.815109 5.271552 8.567611 9.350859 4.260227 9.688838 7.827155 7.491001
## [225] 2.422752 5.161761 5.822763 6.482026 7.586093 9.325468 6.946810 5.427372
## [233] 6.336643 2.467828 4.086855 5.177216 3.581958 8.655421 3.223098 8.427348
## [241] 6.374609 7.298541 3.373588 7.064443 4.494958 7.796435 5.191519 9.754851
## [249] 9.739187 7.813620 4.057734 3.774303 6.744365 4.140171 6.248563 8.282333
## [257] 3.344486 5.235193 5.772610 8.944854 9.405664 9.055820 7.393495 9.601336
## [265] 6.131559 6.612152 4.690650 4.778597 2.160194 6.022504 8.968347 2.050406
## [273] 2.576457 3.313690 8.162673 7.881474 9.775005 5.731779 2.595076 7.190545
## [281] 8.068745 3.096849 5.172677 3.799883 2.463668 5.167142 2.519426 3.807091
## [289] 2.437033 7.362256 4.381934 2.805773 2.575233 9.043525 8.033979 8.532847
## [297] 9.857123 2.828797 2.792335 8.390653 8.276602 2.075439 8.232527 7.835125
## [305] 7.041055 5.847287 3.253095 2.065724 5.619667 5.938347 5.116697 5.717328
## [313] 7.706232 2.442415 4.838265 8.422498 8.685671 3.901995 4.831889 8.855083
## [321] 8.830107 4.367164 3.176387 7.631936 2.830454 2.269822 9.995236 2.278998
## [329] 4.707130 9.320510 6.937882 4.290283 7.902379 8.672434 4.514166 5.940532
## [337] 7.578990 7.131699 7.151383 9.822827 5.317883 2.955238 6.208237 3.800587
## [345] 5.891294 4.961718 9.866801 5.106553 3.833959 6.986380 3.092322 9.739756
## [353] 6.120574 3.304563 6.975218 9.887633 7.350172 5.351327 4.586760 8.682043
## [361] 3.150536 3.542528 9.173909 4.464956 4.906404 8.271572 3.547029 2.142126
## [369] 5.252863 5.865341 5.374760 4.742470 8.931867 5.640864 6.270119 9.710747
## [377] 8.196732 3.671011 4.470295 9.770740 6.679201 8.086589 4.981675 8.153551
## [385] 6.301417 9.311964 3.482372 4.257747 2.759699 3.683897 9.816792 4.370417
## [393] 7.807864 8.285503 2.843342 3.916757 4.164359 2.808468 2.943311 9.929892
## [401] 9.888434 3.096540 9.242477 6.610415 5.163591 5.598420 7.652015 2.660022
## [409] 4.714501 7.446300 4.535594 8.652549 3.721377 5.983591 4.208397 3.536187
## [417] 9.604970 4.573804 5.827651 2.223941 6.379676 7.153922 6.770108 4.575499
## [425] 9.128914 7.010056 4.423239 5.105637 3.283801 8.900415 9.624810 6.509157
## [433] 4.636379 9.972938 3.878557 6.901376 2.865428 5.896261 2.795567 3.289326
## [441] 4.263943 6.670979 7.853661 3.324167 8.931742 7.668593 8.083196 3.176673
## [449] 4.864456 7.386660 6.190581 4.798414 3.924246 2.465534 3.892958 9.120623
## [457] 8.494619 7.980131 3.239294 2.997937 9.797806 5.489040 5.712133 3.322385
## [465] 6.679492 4.166224 3.840775 7.529663 4.262819 8.483185 2.751333 8.576241
## [473] 5.419426 8.047098 7.299084 5.556219 7.017169 2.003723 3.737948 7.638978
## [481] 3.721332 8.511470 4.462111 7.501941 9.461449 2.926237 3.021646 7.425791
## [489] 5.431589 8.675208 9.771505 2.563912 5.678282 7.612681 2.695521 9.943552
## [497] 4.024792 2.396307 7.490600 8.295419 4.828849 4.931532 4.296801 2.639783
## [505] 4.923634 3.424111 6.288430 6.031590 9.560281 4.730570 5.717710 2.660249
## [513] 8.880855 5.165285 7.887195 3.373947 5.638093 8.161638 2.501200 8.520652
## [521] 4.409140 4.917368 4.496902 2.298960 6.150439 7.432107 9.225868 2.204214
## [529] 9.912626 4.423101 9.513107 7.500861 5.576296 8.531825 2.315994 7.912253
## [537] 4.789756 8.634007 6.284331 4.196363 8.407586 2.733158 8.656862 4.214841
## [545] 8.024881 9.713221 2.651732 8.834918 8.417906 5.081389 4.620779 3.639510
## [553] 6.555061 9.104442 6.237713 6.695669 7.325881 6.239140 6.078743 2.129284
## [561] 2.381680 9.434805 8.154284 3.608645 7.202092 7.230133 5.162030 8.498439
## [569] 6.376187 9.081061 6.426512 9.248385 6.699691 5.387709 9.596683 7.672303
## [577] 5.306443 2.146913 6.533873 5.920508 9.029392 8.502822 8.832800 4.943168
## [585] 8.991599 3.210705 4.254493 7.333641 9.819069 6.661918 6.212721 2.486258
## [593] 9.752311 2.961897 2.706906 9.046113 6.066965 4.699960 9.154677 2.255773
## [601] 3.897838 7.491923 3.806547 4.547957 3.391871 8.411437 3.170256 8.581739
## [609] 4.647983 4.993355 7.037963 2.773070 2.175950 9.944358 6.671511 8.254585
## [617] 9.135169 8.038924 9.833630 2.353177 9.227207 8.924007 8.203261 5.014531
## [625] 2.336864 4.915289 4.190010 8.803740 4.899214 4.435822 8.073083 8.758677
## [633] 5.663372 7.837053 2.832629 3.759865 9.631610 8.016300 8.551643 5.342217
## [641] 6.750708 8.390588 9.107269 5.081533 2.722577 7.005949 7.965090 2.683028
## [649] 4.404141 6.916497 8.023456 9.336457 5.806004 6.536956 7.892963 8.859579
## [657] 9.273172 2.451058 6.023266 4.804358 8.764449 8.451481 2.938650 7.701492
## [665] 3.882151 2.599654 9.485169 3.257343 7.176459 3.388142 2.160592 6.170511
## [673] 2.690223 4.264019 5.363479 6.698225 8.453555 3.615962 5.675397 5.585145
## [681] 7.869982 7.718038 8.649776 9.092529 9.621157 6.404934 6.178686 3.365586
## [689] 5.834172 4.030566 2.318245 7.078404 6.316487 3.120828 4.269694 6.664245
## [697] 3.320207 2.770409 5.428905 4.846093 8.759468 4.081060 2.185156 8.899196
## [705] 4.676704 7.054311 6.371410 5.011556 3.486984 5.431525 7.046189 6.166739
## [713] 7.276971 7.834887 5.894583 5.075653 2.054668 2.029474 9.959492 2.863095
## [721] 5.349353 7.743076 7.940313 8.975991 6.862944 8.049627 8.777930 6.902237
## [729] 8.345793 2.182837 5.335316 8.999059 7.178776 9.395832 3.377801 4.526502
## [737] 8.434050 9.911707 4.579084 2.009533 9.937365 3.186819 2.394914 6.778828
## [745] 4.570628 6.223432 8.363376 2.551461 7.560166 9.589052 4.222155 3.995253
## [753] 3.275484 2.573040 6.459501 5.918696 5.954339 9.106973 2.293635 3.629951
## [761] 6.110249 3.890719 6.603485 5.858063 6.554822 3.153219 3.165670 5.298265
## [769] 7.464082 7.227423 9.327891 8.504905 7.407120 8.459993 3.024515 4.006228
## [777] 4.652376 5.258154 7.082941 8.468896 4.070410 8.555737 2.123821 7.235206
## [785] 8.493757 5.690951 3.627337 2.150146 4.265062 9.322181 9.469572 6.340253
## [793] 3.755380 5.915422 8.409190 5.261045 2.829693 4.244521 4.891730 4.073959
## [801] 5.765455 4.926764 2.970176 2.375949 4.102370 9.749129 5.907964 5.822576
## [809] 7.990343 7.341122 2.395325 7.560842 4.906093 9.073069 8.202378 3.113629
## [817] 4.360074 3.008662 6.719213 6.493405 7.509769 4.490166 6.844695 9.928275
## [825] 7.945639 2.606857 5.609351 2.428295 4.716444 7.871617 2.032856 8.175276
## [833] 5.703802 7.766723 7.332046 6.576590 7.630504 7.257768 4.314817 2.777916
## [841] 9.699371 7.890672 6.901788 2.959431 6.402072 4.102050 9.186887 2.073440
## [849] 3.889879 3.040357 4.609865 7.811191 9.933962 7.721068 6.035518 5.488381
## [857] 9.590602 2.961452 2.601161 9.112172 5.395617 2.338885 7.179537 5.748953
## [865] 6.943409 4.166523 3.258362 2.914034 6.061463 6.384258 3.125170 3.358152
## [873] 8.095883 6.219160 8.887915 7.388440 2.104328 7.545591 9.133710 7.054801
## [881] 2.858357 9.368522 7.402899 3.188750 7.962735 9.540791 5.366267 4.381785
## [889] 4.075413 3.783051 6.525235 8.053201 7.356828 6.372182 8.491709 8.073334
## [897] 2.160548 5.047230 2.407041 8.383223 9.389594 6.340787 8.818917 6.668503
## [905] 7.346589 6.090517 8.102005 9.226898 8.563796 2.571455 2.031171 2.417589
## [913] 8.932481 6.609961 4.510741 9.675726 6.729550 6.251275 5.071493 4.556426
## [921] 8.467090 2.335356 4.909942 8.852776 7.583573 7.475892 4.784120 6.437455
## [929] 3.097949 8.279452 9.094901 3.632767 8.164984 6.770904 9.661358 3.269507
## [937] 6.207794 8.985211 8.957649 2.189509 9.807118 5.921794 5.113363 5.340440
## [945] 2.743407 3.294474 5.243332 4.734516 5.322060 4.432420 6.482244 3.246993
## [953] 9.652638 2.351733 4.977262 9.700923 7.163420 2.490101 5.279567 5.407241
## [961] 6.065265 5.596799 6.986091 3.119823 9.263571 6.555546 6.386245 2.934621
## [969] 8.096227 5.826956 8.255751 2.368212 8.558757 4.155268 4.262803 7.145772
## [977] 9.584951 2.055988 4.812941 5.352366 5.663014 7.693541 9.358784 7.016886
## [985] 9.217454 8.058633 3.102867 3.226039 3.530497 5.465481 2.697754 3.790240
## [993] 6.577189 5.201353 6.523723 8.636991 7.136911 5.131990 7.676639 2.870593#plot Histogram
hist(uniform_data, breaks=30, main = "Histogram Distribusi Uniform", xlab="Nilai", col = "gray")
3b Distribusi Binomial “Modelkan jumlah pegawai yang mendapatkan bonus tahunan dalam 12 tahun kedepan dalam suatu perusahaan, di mana setiap pegawai memiliki peluang 60% untuk mendapatkan bonus. Asumsikan terdapat 50 pegawai dalam perusahaan tersebut.”
n <- 12
n_pegawai <- 50 # Jumlah pegawai
p_bonus <- 0.6 # Probabilitas mendapatkan bonus
binomial_data <- rbinom(n, size = n_pegawai, prob = p_bonus)
binomial_data## [1] 32 29 33 26 26 30 27 32 35 31 30 31hist (binomial_data, breaks = 30, main = "Histogram Distribusi Binomial", xlab= "Jumlah Bonus", col="gray")