1. Exploratory Data Analysis
1.4. EDA Case Studies
1.4.2. Case Studies
1.4.2.2. Uniform Random Numbers

## Background and Data

Generation The uniform random numbers used in this case study are from a Rand Corporation publication.

The motivation for studying a set of uniform random numbers is to illustrate the effects of a known underlying non-normal distribution.

Software The analyses used in this case study can be generated using both Dataplot code and R code. The reader can download the data as a text file.
Data The following is the set of uniform random numbers used for this case study.

```   .100973   .253376   .520135   .863467   .354876
.809590   .911739   .292749   .375420   .480564
.894742   .962480   .524037   .206361   .040200
.822916   .084226   .895319   .645093   .032320
.902560   .159533   .476435   .080336   .990190
.252909   .376707   .153831   .131165   .886767
.439704   .436276   .128079   .997080   .157361
.476403   .236653   .989511   .687712   .171768
.660657   .471734   .072768   .503669   .736170
.658133   .988511   .199291   .310601   .080545
.571824   .063530   .342614   .867990   .743923
.403097   .852697   .760202   .051656   .926866
.574818   .730538   .524718   .623885   .635733
.213505   .325470   .489055   .357548   .284682
.870983   .491256   .737964   .575303   .529647
.783580   .834282   .609352   .034435   .273884
.985201   .776714   .905686   .072210   .940558
.609709   .343350   .500739   .118050   .543139
.808277   .325072   .568248   .294052   .420152
.775678   .834529   .963406   .288980   .831374
.670078   .184754   .061068   .711778   .886854
.020086   .507584   .013676   .667951   .903647
.649329   .609110   .995946   .734887   .517649
.699182   .608928   .937856   .136823   .478341
.654811   .767417   .468509   .505804   .776974
.730395   .718640   .218165   .801243   .563517
.727080   .154531   .822374   .211157   .825314
.385537   .743509   .981777   .402772   .144323
.600210   .455216   .423796   .286026   .699162
.680366   .252291   .483693   .687203   .766211
.399094   .400564   .098932   .050514   .225685
.144642   .756788   .962977   .882254   .382145
.914991   .452368   .479276   .864616   .283554
.947508   .992337   .089200   .803369   .459826
.940368   .587029   .734135   .531403   .334042
.050823   .441048   .194985   .157479   .543297
.926575   .576004   .088122   .222064   .125507
.374211   .100020   .401286   .074697   .966448
.943928   .707258   .636064   .932916   .505344
.844021   .952563   .436517   .708207   .207317
.611969   .044626   .457477   .745192   .433729
.653945   .959342   .582605   .154744   .526695
.270799   .535936   .783848   .823961   .011833
.211594   .945572   .857367   .897543   .875462
.244431   .911904   .259292   .927459   .424811
.621397   .344087   .211686   .848767   .030711
.205925   .701466   .235237   .831773   .208898
.376893   .591416   .262522   .966305   .522825
.044935   .249475   .246338   .244586   .251025
.619627   .933565   .337124   .005499   .765464
.051881   .599611   .963896   .546928   .239123
.287295   .359631   .530726   .898093   .543335
.135462   .779745   .002490   .103393   .598080
.839145   .427268   .428360   .949700   .130212
.489278   .565201   .460588   .523601   .390922
.867728   .144077   .939108   .364770   .617429
.321790   .059787   .379252   .410556   .707007
.867431   .715785   .394118   .692346   .140620
.117452   .041595   .660000   .187439   .242397
.118963   .195654   .143001   .758753   .794041
.921585   .666743   .680684   .962852   .451551
.493819   .476072   .464366   .794543   .590479
.003320   .826695   .948643   .199436   .168108
.513488   .881553   .015403   .545605   .014511
.980862   .482645   .240284   .044499   .908896
.390947   .340735   .441318   .331851   .623241
.941509   .498943   .548581   .886954   .199437
.548730   .809510   .040696   .382707   .742015
.123387   .250162   .529894   .624611   .797524
.914071   .961282   .966986   .102591   .748522
.053900   .387595   .186333   .253798   .145065
.713101   .024674   .054556   .142777   .938919
.740294   .390277   .557322   .709779   .017119
.525275   .802180   .814517   .541784   .561180
.993371   .430533   .512969   .561271   .925536
.040903   .116644   .988352   .079848   .275938
.171539   .099733   .344088   .461233   .483247
.792831   .249647   .100229   .536870   .323075
.754615   .020099   .690749   .413887   .637919
.763558   .404401   .105182   .161501   .848769
.091882   .009732   .825395   .270422   .086304
.833898   .737464   .278580   .900458   .549751
.981506   .549493   .881997   .918707   .615068
.476646   .731895   .020747   .677262   .696229
.064464   .271246   .701841   .361827   .757687
.649020   .971877   .499042   .912272   .953750
.587193   .823431   .540164   .405666   .281310
.030068   .227398   .207145   .329507   .706178
.083586   .991078   .542427   .851366   .158873
.046189   .755331   .223084   .283060   .326481
.333105   .914051   .007893   .326046   .047594
.119018   .538408   .623381   .594136   .285121
.590290   .284666   .879577   .762207   .917575
.374161   .613622   .695026   .390212   .557817
.651483   .483470   .894159   .269400   .397583
.911260   .717646   .489497   .230694   .541374
.775130   .382086   .864299   .016841   .482774
.519081   .398072   .893555   .195023   .717469
.979202   .885521   .029773   .742877   .525165
.344674   .218185   .931393   .278817   .570568

```