Normally_distributed_PSEUDO_random_number_270 = [

1.75284098166886

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0.0370971636332033

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0.497720278745478

0.923307183759727

1.12528063020717

0.352423054515431

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0.476080266626109

2.10340917800263

0.194760109074317

1.90864906892831

-0.981013882744710

0.595100333282637

0.343148763607131

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0.584280327222952

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1.86969704711345

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0.411160230268003

1.06757393122218

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0.0556457454498049

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0.432800242387372

0.380245927240334

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0.670840375700427

0.120565781807911

-0.822320460536007

-0.768220430237585

0.443620248447056

1.71388895985399

0.241131563615822

0.530180296924531

-1.08200060596843

0.508540284805162

-0.476080266626109

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0.486900272685794

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0.995440557490956

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0.278228727249025

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-2.59680145432423

-0.497720278745478

1.67493693803913

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-0.923307183759727

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1.40660078775896

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1.03872058172969

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0.0463714545415042

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1.29840072716212

2.59680145432423

0.865600484774744

0.268954436340724

0.315325890882228

-0.735760412058532

1.79179300348372

1.02429390698345

0.807893785789761

-0.508540284805162

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0.692480387819795

0.333874472698830

0.0741943272664066

1.11085395546092

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2.46696138160802

0.768220430237585

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0.541000302984215

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0.894453834267236

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-1.51480084835580

0.166937236349415

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-1.83074502529858

0.296777309065627

-0.724940405998848

-0.952160533252219

-0.102017199991309

-2.18131322163235

-1.86969704711345

-1.67493693803913

2.92140163611476

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-1.27676071504275

1.42824079987833

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0.306051599973927

-0.530180296924531

1.49316083623643

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0.454440254506741

-1.29840072716212

0.757400424177901

1.15413397969966

0.324600181790529

2.18131322163235

0.660020369640742

-0.681660381760111

-0.287503018157326

0.627560351461689

-0.573460321163268

0.370971636332033

0.703300393879480

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0.185485818166017

0.102017199991309

-1.34168075140085

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0.638380357521374

0.952160533252219

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0.724940405998848

0.981013882744710

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-1.12528063020717

-0.0185485818166017

0.966587207998464

-0.157662945441114

-0.0463714545415042

0.735760412058532

0.111291490899610

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0.222582981799220

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0.573460321163268

0.551820309043899

0.836747135282253

-0.703300393879480

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1.27676071504275

-0.793467111043515

-1.21184067868464

1.44988081199770

1.21184067868464

1.36332076352022

1.38496077563959

1.47152082411706

-1.23348069080401

-2.46696138160802

-1.90864906892831

-1.36332076352022

-2.92140163611476

-2.25921726526208

0.231857272707521

-0.627560351461689

-0.454440254506741

-1.42824079987833

-0.0370971636332033

-0.315325890882228

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-0.231857272707521

-0.0278228727249025

1.34168075140085

1.13970730495341

1.53644086047517

0.0185485818166017

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-0.551820309043899

2.25921726526208

-0.880027159520990

-0.370971636332033

0.250405854524122

0.616740345402005

-0.306051599973927

-0.0649200363581058

-0.185485818166017

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0.176211527257716

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0.562640315103584

-1.49316083623643

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0.605920339342321

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1.32004073928148

-0.995440557490956

0.00927429090830084

0.148388654532813

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0.213308690890919

0.259680145432423

0.287503018157326

-0.937733858505973

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0.519360290864846

-0.324600181790529

-0.660020369640742

-0.213308690890919

0.421980236327688

0.851173810028498

-1.63598491622427

0.714120399939164

1.00986723223720

1.51480084835580

0.0834686181747075

0.465260260566425

1.23348069080401

0.649200363581058

0.0927429090830083

-0.851173810028498

-0.343148763607131

0.361697345423732

-0.757400424177901

-0.0834686181747075

0.880027159520990

1.63598491622427

1.08200060596843

0.139114363624512

1.59703289440940

0.793467111043515

0.157662945441114

0.746580418118217

0.681660381760111

0.908880509013481

-1.19020066656527

-0.411160230268003

1.25512070292338

-1.59703289440940

0.400340224208319

-0.139114363624512

0.129840072716212

2.02550513437290

-1.53644086047517

-1.06757393122218

-1.79179300348372

0.0649200363581058

-0.465260260566425

]; 

   请教：

   在 Kendall Stuart 最优分组条件下，这组正态分布随机数的“卡方检验值, Chi-Square Test, Chi-Square Goodness of Fit Test”是多少？

   This group of normally distributed random numbers seems to be better than the "true random numbers" generated by "physical devices". What is the Chi-Square Goodness of Fit Test of them under the Kendall Stuart's optimal grouping?

哪里有比上面的伪随机数更好的正态分布随机数？

相关链接：

[1] 2021-01-29，[擂台] 地球上最好的100个和270个正态分布随机数

http://blog.sciencenet.cn/blog-107667-1269582.html

[2] 2021-01-29，100个正态分布伪随机数 100 normally distributed PSEUDO random numbers

http://blog.sciencenet.cn/blog-107667-1269583.html

感谢您的指教！

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