Normally_distributed_PSEUDO_random_number_100 = [

1.02473677461722

0.248864645264183

0.149318787158510

0.0995458581056732

-0.778799948709090

0.174205251684928

0.124432322632092

-0.0995458581056732

-1.06572624560191

1.59273372969077

-0.223978180737765

-1.99091716211346

-2.43887352358899

-0.298637574317020

-1.10671571658660

1.99091716211346

1.31166307151005

-0.671934542213294

-0.597275148634039

0.860778890678468

-0.647048077686876

0.983747303632535

1.22968412954067

-0.572388684107621

-1.35265254249474

-0.522615755054784

1.10671571658660

1.89137130400779

1.27067360052536

0.373296967896275

1.79182544590212

-0.174205251684928

-1.02473677461722

-1.79182544590212

-1.59273372969077

-0.423069896949111

-1.89137130400779

-0.942757832647846

0.671934542213294

-1.14770518757129

-1.49318787158510

0.622161613160458

-1.18869465855598

1.35265254249474

-1.27067360052536

0.223978180737765

0.273751109790601

0.298637574317020

-0.860778890678468

-0.373296967896275

-0.248864645264183

0.0497729290528366

-0.547502219581203

-1.31166307151005

0.547502219581203

-0.273751109790601

-0.323524038843438

-0.348410503369856

0.398183432422693

0.0746593935792549

0.597275148634039

-0.983747303632535

0.199091716211346

1.69227958779644

0.819789419693779

-0.497729290528366

0.647048077686876

-0.124432322632092

0.472842826001948

0.323524038843438

0.348410503369856

0.522615755054784

0.0248864645264183

0.572388684107621

1.06572624560191

2.43887352358899

-1.69227958779644

-0.737810477724401

-0.0497729290528366

0.423069896949111

1.14770518757129

0.778799948709090

0.497729290528366

-0.0248864645264183

-0.199091716211346

-0.149318787158510

1.49318787158510

1.18869465855598

0.737810477724401

0.447956361475530

-0.819789419693779

-0.472842826001948

-0.447956361475530

-0.0746593935792549

-0.901768361663157

0.901768361663157

0.942757832647846

-1.22968412954067

-0.622161613160458

-0.398183432422693

]; 

   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] 2021-01-29，270个正态分布伪随机数 270 normally distributed PSEUDO random numbers
http://blog.sciencenet.cn/blog-107667-1269584.html

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