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📄 tryrand.txt

📁 随机数发生器C++写的
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Begin testNow print a real number: 3.14159Print 20 N(0,1) random numbers - should be the same as in sample output1.60382-1.30754-1.35107-1.139240.2730181.06615-0.124875-0.9485780.2755911.44853-2.07826-3.067591.093821.21352-0.643038-0.222574-0.611443-0.180788-1.19885-0.756851Print histograms of data from a variety distributionsHistograms should be close to those in sample outputs. mean and s. var should be close to p. mean and s. mean||||||||||||||||||||*********************************************************************Constantp. mean =         5, p. var =         0s. mean =         5, s. var =         0, max =         5, min =         5|********************************************************************|******************************************************************|*******************************************************************|*******************************************************************|********************************************************************|*******************************************************************|********************************************************************|********************************************************************|******************************************************************|*********************************************************************|*******************************************************************|********************************************************************|*******************************************************************|*******************************************************************|********************************************************************|*******************************************************************|********************************************************************|*******************************************************************|********************************************************************|*******************************************************************Uniformp. mean =       0.5, p. var =  0.083333s. mean =   0.49995, s. var =   0.08335, max =   0.99999, min = 9.3156e-06||**|*******|*************|**********************|*********************************|**********************************************|*********************************************************|*****************************************************************|********************************************************************|*********************************************************************|****************************************************************|********************************************************|*******************************************|******************************|********************|************|******|*|SumRandomp. mean =         0, p. var =      0.25s. mean = 0.00079356, s. var =   0.25123, max =    1.4883, min =   -1.4611|**|**********|*****************|************************|*******************************|***************************************|**********************************************|*****************************************************|***********************************************************|******************************************************************|*********************************************************************|***********************************************************|*****************************************************|**********************************************|*************************************|*******************************|************************|*****************|**********|**SumRandomp. mean =         0, p. var =   0.16667s. mean = -0.0019918, s. var =   0.16737, max =   0.99511, min =  -0.99786||||||*|******|***************|********************************|****************************************************|******************************************************************|*********************************************************************|********************************************************|*************************************|*******************|*******|**|||Normalp. mean =         0, p. var =         1s. mean = -0.0032337, s. var =   0.99744, max =    4.1587, min =   -5.2177|||||||*********************************************************************|||||||||||||Cauchyp. mean = indefinite, p. var = plus-infinitys. mean =   0.80419, s. var = 2.7224e+05, max = 1.1516e+05, min =    -59877||||*|*****|*************|****************************|***********************************************|***************************************************************|*********************************************************************|************************************************************|*******************************************|*************************|************|****|||||AsymGenXp. mean =   missing, p. var =   missings. mean =    9.9999, s. var =    3.9894, max =     19.58, min =    1.4902Mean and variance should be 10.0 and 4.0|*******************************************************************|******************************************************************|*******************************************************************|*********************************************************************|*******************************************************************|******************************************************************|*******************************************************************|*******************************************************************|*****************************************************************|******************************************************************|*******************************************************************|*******************************************************************|********************************************************************|******************************************************************|******************************************************************|********************************************************************|*******************************************************************|*******************************************************************|*******************************************************************|*******************************************************************AsymGenXp. mean =   missing, p. var =   missings. mean =   0.50012, s. var =  0.083635, max =   0.99999, min = 6.248e-06Mean and variance should be 0.5 and 0.083333|**|**********|*****************|*************************|********************************|***************************************|***********************************************|******************************************************|*************************************************************|*********************************************************************|********************************************************************|************************************************************|******************************************************|***********************************************|***************************************|********************************|************************|*****************|*********|**SymGenXp. mean =   missing, p. var =   missings. mean = -0.00015745, s. var =    0.1664, max =   0.99919, min =  -0.99559Mean and variance should be 0 and 0.16667|*********************************************************************|||****************||||*||||||||||||Poissonp. mean =      0.25, p. var =      0.25s. mean =    0.2503, s. var =   0.25124, max =         5, min =         0|||*******|***********|*******************|******************************************************************|****************************************|****************************************|*********************************************************************|**********************|****************|*****************|***|*||||||Poissonp. mean =        10, p. var =        10s. mean =    9.9929, s. var =    9.9663, max =        27, min =         0||||*****|*******************|*****************************************|****************************|********************************************************************|*********************************************************************|******************************************************|***********************************|*****************|*******|*||||||Poissonp. mean =        16, p. var =        16s. mean =    15.996, s. var =    16.039, max =        38, min =         1||***|**************|***********************************||*********************************************************|*********************************************************************|****************************************************************||**********************************************|***************************|************||****||||||Binomialp. mean =       5.4, p. var =      3.78s. mean =    5.4078, s. var =    3.7748, max =        15, min =         0||**|************|******************************||****************************************************|********************************************************************|*********************************************************************||*****************************************************|**********************************|*****************||******|*|||||Binomialp. mean =       5.7, p. var =      3.99s. mean =     5.704, s. var =    3.9894, max =        15, min =         0||*|*********|*************************||***********************************************|****************************************************************|*********************************************************************||***********************************************************|*****************************************|**********************||**********|***|||||Binomialp. mean =         6, p. var =       4.2s. mean =     5.996, s. var =     4.226, max =        15, min =         0|||||****|*****|**************************|**************************************************|********************************|*********************************************************************|********************************************************|******************|***********************|********||||||Binomialp. mean =      17.4, p. var =     12.18s. mean =    17.405, s. var =    12.183, max =        35, min =         2|||||***|****|***********************|***********************************************|*******************************|*********************************************************************|***********************************************************|*********************|**************************|**********|*|||||Binomialp. mean =      17.7, p. var =     12.39s. mean =    17.699, s. var =    12.422, max =        35, min =         2||||**|************|************|********************************************|******************************|*********************************************************************|**************************************************************|**********************|******************************|*******|*******|*|||||Binomialp. mean =        18, p. var =      12.6s. mean =     17.99, s. var =    12.515, max =        36, min =         4|*********************************************************************||*****************************************************************|||****************************|||*******|||||||||||Binomialp. mean =       0.9, p. var =     0.855s. mean =   0.90194, s. var =   0.85461, max =         7, min =         0|*********************************************************************||********************************************************************|||********************************|||********|||*||||||||Binomialp. mean =      0.95, p. var =    0.9025s. mean =    0.9499, s. var =   0.89855, max =         7, min =         0|*****************************************************************|

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