当前位置：文档之家 › 标准正态分布表

标准正态分布表

  • 格式：pdf
  • 大小：19.04 KB
  • 文档页数：1

标准正态分布表

标准正态分布表

就⼒⼆「冷=亡P（X0 （ - x ） = 1 -0（X ）（请暂时忽略此公式）

0.975 就是F（t）

正态分布概率表0( u )

t F(t)t F(0t F( t)t F(t)

0+00O.COOO0,230.181 90,460.354 50.690.509 8 0.010.008 00.24o, m70.470,361 60J00.516 1 0+020.016 00,250,19740,480.36880+710,52230************.20510,490.37591720.52850.04C.03190.270.21280.500.38290.730.53460.050+039 90.280.220 50.510.389 90.740.540 7 0.060.047 80 290. 22S 20.520.396 90.750.546 7

0,070,055 S0. 300.235 80.530.403 90.760.552 7 0.0S0.063 8(1. 310.243 40.540.410 80.770.558 7

0 + 090.071 7C,320.251 00&0.417 70+780.564 6

(k 1U0079 7(J. 330.258 60.560.424 50+790.570 5

0.11O.fi87 6 C. 340.266 10.570.431 3o.so0, 57 6 3

4 120.09

5 50 350.273 70,5S0,43S 1 0.S10.582 1 A130.103 1 C. 360.281 20.590.444 80,820.587 8 0.140,111 30. 370.288 60.600.45150.S30.593 5 0+150.119 20.380,29

6 10.610.458 1 (U40*599 1 0.160,12

7 ] 0.390, 303 50.620.464 70.350,604 7 0.170 135 0G.400310 80.630.471 30, R60.6102 0.180J42 S0.410.31

8 20.640.477 S0+870,15 7 0.190.150 70 420325 50.650.484 30+880.621 1 0.200.158 50.430. 332 80.660.490 70.890 . 62 65 0,210J66 3C,440.340 10.670.497 1 0.900.631

9 A 220.174 ] 0.45(L 347 30.680.503 50.910.637 2

合集下载

标准正态分布-Z值表

标准正态分布-Z值表

0.000.010.020.030.040.050.060.070.080.09

0.00.500000.496010.492020.488030.484050.480060.476080.472100.468120.46414

0.10.460170.456200.452240.448280.444330.440380.436440.432510.428580.42465

0.20.420740.416830.412940.409050.405170.401290.397430.393580.389740.38591

0.30.382090.378280.374480.370700.366930.363170.359420.355690.351970.34827

0.40.344580.340900.337240.333600.329970.326360.322760.319180.315610.31207

0.50.308540.305030.301530.298060.294600.291160.287740.284340.280960.27760

0.60.274250.270930.267630.264350.261090.257850.254630.251430.248250.24510

0.70.241960.238850.235760.232700.229650.226630.223630.220650.217700.21476

0.80.211860.208970.206110.203270.200450.197660.194890.192150.189430.18673

0.90.184060.181410.178790.176190.173610.171060.168530.166020.163540.16109

1.00.158660.156250.153860.151510.149170.146860.144570.142310.140070.13786

标准正态分布表

标准正态分布表

φ(x) x x00.50.5040.5080.512

0.5160.51990.52390.52790.53190.53590.1

0.5398

0.54380.54780.55170.55570.55960.56360.56750.57140.57530.20.57930.58320.58710.5910.59480.59870.60260.60640.61030.61410.30.61790.62170.62550.62930.63310.63680.64060.64430.6480.65170.40.65540.65910.66280.66640.670.67360.67720.68080.68440.68790.50.69150.6950.69850.70190.70540.70880.71230.71570.7190.72240.60.72570.72910.73240.73570.73890.74220.74540.74860.75170.75490.70.7580.76110.76420.76730.77030.77340.77640.77940.78230.78520.80.78810.7910.79390.79670.79950.80230.80510.80780.81060.81330.90.81590.81860.82120.82380.82640.82890.83150.8340.83650.838910.84130.84380.84610.84850.85080.85310.85540.85770.85990.86211.10.86430.86650.86860.87080.87290.87490.8770.8790.8810.8831.20.88490.88690.88880.89070.89250.89440.89620.8980.89970.90151.30.90320.90490.90660.90820.90990.91150.91310.91470.91620.91771.40.91920.92070.92220.92360.92510.92650.92780.92920.93060.93191.50.93320.93450.93570.9370.93820.93940.94060.94180.9430.94411.60.94520.94630.94740.94840.94950.95050.95150.95250.95350.95451.70.95540.95640.95730.95820.95910.95990.96080.96160.96250.96331.80.96410.96480.96560.96640.96710.96780.96860.96930.970.97061.90.97130.97190.97260.97320.97380.97440.9750.97560.97620.976720.97720.97780.97830.97880.97930.97980.98030.98080.98120.98172.10.98210.98260.9830.98340.98380.98420.98460.9850.98540.98572.20.98610.98640.98680.98710.98740.98780.98810.98840.98870.9892.30.98930.98960.98980.99010.99040.99060.99090.99110.99130.99162.40.99180.9920.99220.99250.99270.99290.99310.99320.99340.99362.50.99380.9940.99410.99430.99450.99460.99480.99490.99510.99522.60.99530.99550.99560.99570.99590.9960.99610.99620.99630.99642.70.99650.99660.99670.99680.99690.9970.99710.99720.99730.99742.80.99740.99750.99760.99770.99770.99780.99790.99790.9980.99812.90.99810.99820.99820.99830.99840.99840.99850.99850.99860.998630.99870.9990.99930.99950.99970.99980.99980.99990.999913.10.9990320.9990650.9990960.9991260.9991550.9991840.9992110.9992380.9992640.9992893.20.9993130.9993360.9993590.9993810.9994020.9994230.9994430.9994620.9994810.9994993.30.9995170.9995340.9995500.9995660.9995810.9995960.9996100.9996240.9996380.9996603.40.9996630.9996750.9996870.9996980.9997090.9997200.9997300.9997400.9997490.9997603.50.9997670.9997760.9997840.9997920.9998000.9998070.9998150.9998220.9998280.9998853.60.9998410.9998470.9998530.9998580.9998640.9998690.9998740.9998790.9998830.9998803.70.9998920.9998960.9999000.9999040.9999080.9999120.9999150.9999180.9999220.9999263.80.9999280.9999310.9999330.9999360.9999380.9999410.9999430.9999460.9999480.9999503.90.9999520.9999540.9999560.9999580.9999590.9999610.9999630.9999640.9999660.99996740.9999680.9999700.9999710.9999720.9999730.9999740.9999750.9999760.9999770.9999784.10.9999790.9999800.9999810.9999820.9999830.9999830.9999840.9999850.9999850.9999864.20.9999870.9999870.9999880.9999880.9999890.9999890.9999900.9999900.9999910.9999914.30.9999910.9999920.9999920.9999300.9999930.9999930.9999930.9999940.9999940.9999944.40.9999950.9999950.9999950.9999950.9999960.9999960.9999961.0000000.9999960.9999964.50.9999970.9999970.9999970.9999970.9999970.9999970.9999970.9999980.9999980.9999984.60.9999980.9999980.9999980.9999980.9999980.9999980.9999980.9999980.9999990.9999994.70.9999990.9999990.9999990.9999990.9999990.9999990.9999990.9999990.9999990.9999994.80.9999990.9999990.9999990.9999990.9999990.9999990.9999990.9999990.9999990.9999994.91.0000001.0000001.0000001.0000001.0000001.0000001.0000001.0000001.0000001.0000000.040.050.060.07标准正态分布函数表（形式1）

标准正态分布表使用

标准正态分布表使用

标准正态分布表使用

标准正态分布表是统计学中常用的一种表格，用于计算和查找标准正态分布的概率值。标准正态分布是一种特殊的正态分布，其均值为0，标准差为1。在实际应用中，我们经常需要使用标准正态分布表来进行概率计算和统计分析。本文将介绍如何使用标准正态分布表进行相关计算，并结合实例进行说明。

首先，我们需要了解标准正态分布表的结构。标准正态分布表通常包括两部分，一部分是Z值（或称标准正态随机变量），另一部分是对应的累积概率值。Z值是标准正态分布的随机变量取值，而累积概率值则是对应Z值的累积分布函数值。在标准正态分布表中，通常以Z值为行标，以小数位数为列标，给出了对应Z值下的累积概率值。

接下来，我们以一个具体的例子来说明如何使用标准正态分布表。假设我们需要计算标准正态分布随机变量Z小于1.96时的累积概率值。首先，我们找到Z值为1.9的行，然后找到小数位数为0.06的列，交汇的位置就是对应的累积概率值。在这个例子中，我们可以得到累积概率值为0.9750。这意味着标准正态分布随机变量Z小于1.96的概率为0.9750。

除了查找累积概率值，我们还可以使用标准正态分布表进行反查。也就是给定一个累积概率值，我们需要找到对应的Z值。例如，如果我们需要找到标准正态分布随机变量Z使得累积概率值为0.95，我们可以在标准正态分布表中查找累积概率值为0.9500的位置，得到对应的Z值为1.64。这意味着标准正态分布随机变量Z小于1.64的概率为0.95。

在实际应用中，标准正态分布表可以帮助我们进行各种概率计算和统计分析。例如，在质量控制中，我们可以使用标准正态分布表来计算产品在规定范围内的概率；在市场营销中，我们可以使用标准正态分布表来计算市场需求的概率分布；在金融领域，我们可以使用标准正态分布表来进行风险评估和投资决策。 总之，标准正态分布表是统计学中非常重要的工具，它可以帮助我们进行各种概率计算和统计分析。通过本文的介绍和实例，相信读者对标准正态分布表的使用有了更深入的理解。在实际应用中，我们可以根据具体问题灵活运用标准正态分布表，为决策提供可靠的数据支持。希望本文能够对读者有所帮助，谢谢阅读！

标准正态分布表 2

标准正态分布表 2

标准正态分布表

φ( - x ) = 1 –φ( x )

x 0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09

0 0.500 0 0.504 0 0.508 0 0.512 0 0.516 0 0.519 9 0.523 9 0.527 9 0.531 9 0.535 9

0.1 0.539 8 0.543 8 0.547 8 0.551 7 0.555 7 0.559 6 0.563 6 0.567 5 0.571 4 0.575 3

0.2 0.579 3 0.583 2 0.587 1 0.591 0 0.594 8 0.598 7 0.602 6 0.606 4 0.610 3 0.614 1

0.3 0.617 9 0.621 7 0.625 5 0.629 3 0.633 1 0.636 8 0.640 4 0.644 3 0.648 0 0.651 7

0.4 0.655 4 0.659 1 0.662 8 0.666 4 0.670 0 0.673 6 0.677 2 0.680 8 0.684 4 0.687 9

0.5 0.691 5 0.695 0 0.698 5 0.701 9 0.705 4 0.708 8 0.712 3 0.715 7 0.719 0 0.722 4

0.6 0.725 7 0.729 1 0.732 4 0.735 7 0.738 9 0.742 2 0.745 4 0.748 6 0.751 7 0.754 9

0.7 0.758 0 0.761 1 0.764 2 0.767 3 0.770 3 0.773 4 0.776 4 0.779 4 0.782 3 0.785 2

0.8 0.788 1 0.791 0 0.793 9 0.796 7 0.799 5 0.802 3 0.805 1 0.807 8 0.810 6 0.813 3