1. 答案:
  2. 设样本空间为{1,2,…,10},事件 A={1,3,5,7,9}, 事件B={2,4,6,8,10},事件C={6,7,8,9,10},则=(        ).

  3. 答案:{1,2,3,4,5}

  4. 答案:

  5. 答案:

  6. 答案:0

  7. 答案:

  8. 答案:N(0,1/2);
  9. 一盒产品中有a只正品,b只次品,有放回地任取两次,第二次取到正品的概率为

  10. 答案:
  11. [removed]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

  12. 答案:N(0,5)

  13. 答案:8/9
  14. 采用极大似然估计法和矩估计法得到的参数估计结果一定相同。

  15. 答案:错
  16. 简单随机样本的样本均值和样本方差不一定独立。
  17. 除离散型随机变量和连续型随机变量外,还存在既非离散又非连续的随机变量。
  18. 在抽签模型中,第一个人和最后一个人抽中的概率相等。
  19. 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
  20. 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  23. 已知工厂A、B生产产品的次品率分别为1%和2%,现从由A、B的产品分别占60%和40%的一批产品中随机抽取一件,发现是次品,则:该产品是A工厂的概率为                。
  24. 若A,B为任意两个随机事件,则         .
  25. [removed]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
  26. 离散型随机变量的取值只有有限个。
  27. 对于随机变量X,Y,如果EX,EY,E(XY)都存在,则一定满足E(XY)=EX · EY.
  28. 正态总体方差的区间估计采用的样本函数服从t分布。
  29. 两个随机事件相互独立且互斥,则至少有一个事件的概率为0。
  30. 设随机变量X服从参数为10和0.5的二项分布,X~B(10,0.5),则X的取值只有10种可能。
  31. 设(X,Y)服从二维正态分布,X,Y的相关系数为0,则X,Y一定相互独立。
  32. 辛钦大数定律的条件中,要求随机变量X1,X2,…,Xn,…,独立同分布。
  33. 根据切比雪夫不等式,随机变量的取值以不小于8/9的概率落在以均值为中心,以3倍的均方差为半径的邻域内。
  34. [removed]iVBORw0KGgoAAAANSUhEUgAAAiMAAAAZCAYAAADjVC5TAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAArDSURBVHhe7Z09ViNLD4bFtxYzAWdWYFbAJSEiJbNDk5ARkjnBIZwvmZSIZPAKYAVzCLD3wm21+zWyrPrrrrY9l3rO0XSVSiWVymV30W73HH1WUKFQKBQKhcKe+F9zLBQKhUKhUNgLZTNSKBQKhUJhr5TNSKFQKBQKhb1SNiOFQqFwsMxpNls25TzMZzPK67EP8ub9d+T8vSmbkUKhUDhIltUJmWgyGTT1PJxNJrQ46JNz/rwPP+dC2YwUCoXCATIfT4nOz5paXs7OiabjeVM7LPrK+5BzLrTYjBwdHTWl/ZEyhl2P14rX53i7xtP4+nbxC1J8sG1IdsGu4ljo2LnGkjMny9eu5iw1jrZP6b+rnGqWM7qjC8p8UeSLwaTyfkehb0I45/9M3pE590VoHjHXWvrGismya5I3I/xYEj1QnURMe0j6worFAqw2lwBZ7oo1v7mQY88RQ/uL8ZmaH9vjUTgoS12Q+XhrjF9/HM1pbOpzsOl7Jaf1B+F8LHQZg27G+pIQlr3WQXJg+XXJf4GN1/toXK0Mib0Gl7+fiE6OVxXBcjam09r2lMbOs+qSZuPTxm5la5kenxA9/d5u+BrrUdp7TdE977g8VnTLuS0YvyU5aDv3KewiRhTVQJLR3UJ1Taq9BLaxfWJiuXzFxmBgm+K/K75xa4EeaL1LJG3qqSJJrTtZ3H+OGv/D0UujbHgZ1bpFU7XgfjGyzcvn/bBpH92LGC+fo0o/vA/HtUjRx9ha5ba+gMvWRcie21NFY+kYl22qeKnWGez0EqzXAw0/79eLYVGtG1lfsbgfVv0bfbWmh5WvoTbagP1yzG1fNexjKNflJjonjF+Llwx5B/PYoFvOqbjyt/ShucI8QXbNvuO3umek6teUdgvvNhGbj67dp96dynJfYDwYH2Iirq4DqQ+JBHXdzkcegxQX3CbtoZPCaP8oh7B8+erQSRBPx0c9isGEbqpdAfP2+Lz+C205n9H444ZeH84odFVYj9OSbc7o/HIVl/6sDsxydkd/Lhf0OgnHzUnSnB0Y1nyzhNraYvnSOi0+5s9Eo+osyTzeGTdSjm7FVxMLen9rimvmNL2ulMNLOme7wTnx0nq7nqorDom8PVHKhYKUnJnuefdAYs5d+Jvfc7tmZzew6pNIqK5hvV78XLfs9ZtFllOR44JYsJ5jyPaYMUAfIxrdhjGEkHayL44QIGPIcizSl4WrHbF8Estgckurz8RHupst68vd049zeujtS/kVg/NLqrcjb+/VR23FfExXT5f0KxCX58SVH+tdc8Z6KTnI6SsnPCbfXEhgaxHrA6TPxZye6YIebu6btXBNU7mD4DP2hbhhc/lR7V1/0g+5RGqdxR/6aHtiHfyoorzRe70wV3BuEFlvR4a8c2PknIv287SNa632yT5iSpI2I1iYctK5rJPAm1vaMayHLcq6bqFjSL+s13GATy/FgvUYkxQL2O6btmPAHITy7AuOJ18HLqdKmDO6aP5Ce7s+piu6idqIsO9O81F/+DGP9Dyf0/iO6PZ14r0iEhNTzxnDOvRDGfUQvnlM9RWDK1Ysco746PMnbV34fMT091KdZOv7IAYTujWuEuhzMi3eq9OlwtLV5D2xcp4QWW9FjrwL34akzYhemL43aadF3MD+Uz5IWCy0HmODdCWHDx+uvFyE7Hm80gbjZx1EA53V5oPtY+ZHjonL6INyqB7DGf5Cq/iZ8OcXjytGbL42QY//8E7kodK4YT+cj/athYFdDqx51DFzxeoCxqFzl3MmkbY+YbRPBnVtK+vQuVj+fqeT+rsVsQbXVwlWVw98a4JZftjXRZg/rS+NuAnlFEOOvAvfh05f04Te5F1h/ywxaFuOjzofU8Yj+6bQNucu/SCS2Hx1X+4HcRHrm2E76Uv79cUBGCNi6no8S5pPn9Z/eT0+x33TzmOMkShGt/QQ+PSFL+kXZakDqOt5kXXoUoFvKy5g39wmY1i6GNheigQ6ORYdA22yv7TVZakDso54jLbXdTdL+v1+srrPg9FXCbYuD9gMfqyur1mkbKxTkfObRp68C9+HzveMWG9O3xsUb3Ascl3vCzkmjiUlB+xH5y39+2L58me99gtYD2mD7ocx6rHoMcTGg5306xLG8ss6iFWPg3/2d0XPF6/0+bL+RNzR8waqvwAfV6VRjx++el50PYR8HdrAcbr0Z+SY9bgtHePSWfoUOJeuPmqWv+np5Hzjazl5leDqzjgnH5+sr+CtsXQ1Q+sXwJ2QufOx1euaK+/Ct6GXG1hdb2RrkXde9Aau+IDbpFiwD0sse0uv/et637SJ4xpj1zGjv/QPgd6FnHurHoY3IlOim9fVVYmzi+ZG1je63ribbhMZJyRe1jce5j9p5ES+Hhacp699XwTnvyW5cuXnZlyuLw80iKsEbz+Nryrq+4zUjanre480HW74rNdmeF22mYtseecmkHPUe3oH7GMM+86702YEg+fFijIfXYtX6i27Noveoqsf7m+JC1+bxvWCsw/d5pvLtrDPPvyGaJMft0lx6dzMaXx6VW1EHsTPB8/WP/Olx39oPLc/+XQcn7jhr4auV18N4SeZCbR5nXx9Un0x3MflU+u1Leq5kT6tGK6Ycmw7YTmj6bW9WcBVgqF5Vjymk6G+MbVZt/hZKl95qBbW8P5mdVKvYtUP/Dodf13xW2+EyX2Tq1qXoTnidikmWfOucOWRKecuYK4wb5gT6He63v52qslKhrtZXX3uYkPF2MX6YrSt1bfvscWMgYm1Y9rYWjZWG5d9toyv3WoD3AbxIe1Css3i8340rB8KtbIZfeJ5S6sHR232334YUzrsZwPxsKcviXlo04otf4LUtpDOKruOkhidZcPE2klgE9M3xb+vjXH54iNki43X337dX6o16loPvE6tB5ot7kfNuh5+jmR78xC0Ot7o/18P25OiH/bFD/zzLEjuI9F1ZkuXNW9+CJoYPwR59JAzw/1S0Pau/iG/9XiV7Ip9xgZH/E8VOAnsAoHcDeqdIdB9XMTYxfpitC3Gp8k5thi65mjFcdnDl/bp0ruQdlYfnz/WMVJv6XxYfg+FnGML+XK1p+ilzirzkZH9XH2ApWNibF19JbCJieMqW4TaNan2reC/+qc/6gfyJTEf0yk/yC/iZ+vz8Sl93Lw6/x+YneSpaZP3HnN22Vv6kG9ut+j7NdhXXE2rr2kwSE4CEwwdymiLJdW+CxgjBGAMLrFsAOratyVA+tHiapdYPiXoY7VLPR9hq8WC9ZZP+AHSD7fpPtBJO0bWpYTa9gHi69za4vPli2XpLXvogGyXekb74zpsrFhaB2Q/PuqyVZeCNviHPy0S2LLeNS70c7XvlcGEfp08p91kzSfyuz/b92qY8E9r5dNPD4TUvDPmnLoWYu2xzkKwL0v6xorJsms6/7TXNWjdFkoO9iE7JsYGaFurL3R8TBWg6z5ghz4pAmSZ0XXG18fqb4kEda2XyH4o++wZbSfrsbIvcsf3+fLFsvSWPXTQy3aXXpKqB9JvqqCfRNtANJYOuPqEaNOnDYPJDdHUeIS6yZzGV+90+cv9V79kPvugi8DVh13lqYnPO2/Oqfn67GUblyEFN62+pikUCoXCLljSbLagySTx6xoPy9mMFpPJ9q9ZDoq8ef8dOX9vymakUCgUCoXCXunlOSOFQqFQKBQKcRD9C/nxG3l66WfkAAAAAElFTkSuQmCC
  35. 下列各命题中,【    】为假命题。
  36. 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
  37. [removed]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
  38. 设某工厂生产的产品中,36%为一等品,54%为二等品、10%为三等品,从该厂生产的产品中任取一件,已知它不是三等品,则它是一等品的概率为          。
  39. 一个袋子中有5只黑球3只白球,从袋中任取两只球,则:“取到的两只球同色” 的概率为              。
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  42. 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  43. 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
  44. 正态总体的方差已知时,对总体均值的区间估计采用的样本函数服从正态分布。
  45. 随机变量X与Y的协方差是X和Y的二阶混合原点矩。
  46. 随机变量X,Y都服从正态分布,则X+Y一定服从正态分布。
  47. 在回归方程的显著性检验时,衡量n次观测值的总变差的平方和为
  48. 使用F检验对一元线性回归方程进行显著性检验时,采用的F统计量为
  49. 两个随机事件互不相容,则一定相互独立。
  50. 设随机变量X1,X2,…,Xn,…,相互独立且都服从参数为3的泊松分布,则前n个随机变量的算术平均值依概率收敛到3。
  51. 二项分布的极限分布是正态分布。
  52. 两个相互独立的卡方分布的和不一定仍然服从卡方分布。
  53. 进行区间估计时,构造的样本的函数,除了包含待估计的未知参数,还可以包含其他未知参数。
  54. 使用F检验对一元线性回归方程进行显著性检验过程中,计算回归平方和时,为了计算简单常采用的计算公式为
  55. 假设一元线性回归方程检验显著,在利用回归方程预测时,在任何点处预测的精度都相同.
  56. 在对一元线性回归模型的回归方程进行显著性检验时,使用的统计假设是
  57. 矩估计的思想是“用样本矩估计对应的总体矩”。
  58. [removed]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
  59. 设EX=1,DX=4,则由切比雪夫不等式由P(-5
  60. 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  61. 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