厦门大学：《金融市场学》课程教学资源（附表）标准正态分布累积概率函数表

附表:标准正态分布累积概率函数表 当x≤O时N(x)表 这个表表示了当x≤O)时N(x)的值。使用这张表时可与内插法结合起来使用。例如 N(-0.1234)=N(-0.12)-0.34[N(-0.12)-N(-0.13 =04522-034×(0.4522-04483) =04509 0.00.50000.49600.49200.4880048400.48010.47610.4621046810.4641 -0.104602045620452204483044430.44040.43640.43250.42860.4247 -0.20.42070.41680.41290.40900.40520.40130.39740.39360.38970.3859 0.38210.37830.37450.37070.36690.36320.35940.35570.35200.3483 0.34460.34090.33720.33360.33000.32640.32280.31920.31560.3121 -0.50.30850.30500.30150.2981 0.29120.28770.28430.28100.2776 0.27430.27090.26760.2643 0.25780.25460.25140.24830.2451 .70.24200.2389023580.2327 0.22660.22360.22060.21770.2148 0.80.21190.20900.20610.2033 0.19770.19490.19220.18940.1867 090.18410.18140.17880.1762 0.17110.16850.16600.16350.1611 1.0 0.15870.1562 0.14690.14460.14230.14010.1379 1.1 0.13570.1335 12510.12300.1210 12 0.1l510.113l 10560.10380.10200.10030.098 1.3 0.096800951 0.08850.08690.08530.08380.0823 14 0.08080.0793 0.07350.07210.07080.06940.0681 1.5 0.06680.06550.06430.06300.06180.06060.05940.05820.05710.0559 -1.6 0.0548005370.05260.05160.05050.04950.0485004750.04650.0455 0.0446 0.0436004270.04180.0409004010.0392 0.03840.03750.0367 -1.80.03590.03510.03440.03360.03290.03220.03140.03070.03010.0294 9 0.0274002680.02620.02560.0250002440.02390.0233 0.0228.0222002170.0212002070.0202 01970.01920.01880.0183 2.10.01790.01740.01700.0166001620.01580.01540.01500.01460.0143 0.0139 0107 0 0.01320.01290.01250.01220.01190.01160.01130.0110 0.01020.00990.00960.00940.00910.00890.00870.0084 000820.00800.00780.00750.00730.007100069000680.00660.0064 -2.50.00620.00600.00590.00570.0050.0054000520.00510.00490.0048 0.0047 0.00440.00430.00410.00400.00 0 0.00370.0036 -2.7 0.0035 0.00330.0032000310.00300.0029 0.00270.0026 0.0026 0.0024000230.00230.00220.0021 0.00200.0019 0.0019 0.00180.00170.00160.00160.0015 0.00140.0014 0000140.00130.00130.0012 0.00110.0011 0.00100.0010 0006 00060.0006 0.00050.0005 -3.3 0.00030.00030.00030.0003000030.00030.0003 3.5 0.00020.0002 0000 0.0002 3 0.0002 0.00010.00 0.0001 0.0001 0.00010.0001 0001 -3.80.00010.00010.00010.0001000010.00010. 0.00010.0001 3.90.00000.00000.00000.00000.00000.00000.0000 0.00000.0000 4.0 0.0000000000.00000.00000.00000.00000.00000.00000.00000.0000 附表:当x≥0时N(x)表 这个表表示了当x≥0时N(x)的值。使用这张表时可与内插法结合起来使用。例如 N(0.6278)=N(0.62)+0.78[N(0.63)-N(0.62 =0.7324+0.78×(0.7357-0.7324) =0.7350

I 附表：标准正态分布累积概率函数表 当 x  0时N(x) 表 这个表表示了当 x  0时N(x) 的值。使用这张表时可与内插法结合起来使用。例如： N(−0.1234) = N(−0.12) − 0.34[N(−0.12) − N(−0.13)] 0.4509 0.4522 0.34 (0.4522 0.4483) = = −  − x .00 .01 .02 .03 .04 .05 .06 .07 .08 .09 -0.0 -0.1 -0.2 -0.3 -0.4 0.5000 0.4602 0.4207 0.3821 0.3446 0.4960 0.4562 0.4168 0.3783 0.3409 0.4920 0.4522 0.4129 0.3745 0.3372 0.4880 0.4483 0.4090 0.3707 0.3336 0.4840 0.4443 0.4052 0.3669 0.3300 0.4801 0.4404 0.4013 0.3632 0.3264 0.4761 0.4364 0.3974 0.3594 0.3228 0.4621 0.4325 0.3936 0.3557 0.3192 0.4681 0.4286 0.3897 0.3520 0.3156 0.4641 0.4247 0.3859 0.3483 0.3121 -0.5 -0.6 -0.7 -0.8 -0.9 0.3085 0.2743 0.2420 0.2119 0.1841 0.3050 0.2709 0.2389 0.2090 0.1814 0.3015 0.2676 0.2358 0.2061 0.1788 0.2981 0.2643 0.2327 0.2033 0.1762 0.2946 0.2611 0.2296 0.2005 0.1736 0.2912 0.2578 0.2266 0.1977 0.1711 0.2877 0.2546 0.2236 0.1949 0.1685 0.2843 0.2514 0.2206 0.1922 0.1660 0.2810 0.2483 0.2177 0.1894 0.1635 0.2776 0.2451 0.2148 0.1867 0.1611 -1.0 -1.1 -1.2 -1.3 -1.4 0.1587 0.1357 0.1151 0.0968 0.0808 0.1562 0.1335 0.1131 0.0951 0.0793 0.1539 0.1314 0.1112 0.0934 0.0778 0.1515 0.1292 0.1093 0.0918 0.0764 0.1492 0.1271 0.1075 0.0901 0.0749 0.1469 0.1251 0.1056 0.0885 0.0735 0.1446 0.1230 0.1038 0.0869 0.0721 0.1423 0.1210 0.1020 0.0853 0.0708 0.1401 0.1190 0.1003 0.0838 0.0694 0.1379 0.1170 0.0985 0.0823 0.0681 -1.5 -1.6 -1.7 -1.8 -1.9 0.0668 0.0548 0.0446 0.0359 0.0287 0.0655 0.0537 0.0436 0.0351 0.0281 0.0643 0.0526 0.0427 0.0344 0.0274 0.0630 0.0516 0.0418 0.0336 0.0268 0.0618 0.0505 0.0409 0.0329 0.0262 0.0606 0.0495 0.0401 0.0322 0.0256 0.0594 0.0485 0.0392 0.0314 0.0250 0.0582 0.0475 0.0384 0.0307 0.0244 0.0571 0.0465 0.0375 0.0301 0.0239 0.0559 0.0455 0.0367 0.0294 0.0233 -2.0 -2.1 -2.2 -2.3 -2.4 0.0228 0.0179 0.0139 0.0107 0.0082 0.0222 0.0174 0.0136 0.0104 0.0080 0.0217 0.0170 0.0132 0.0102 0.0078 0.0212 0.0166 0.0129 0.0099 0.0075 0.0207 0.0162 0.0125 0.0096 0.0073 0.0202 0.0158 0.0122 0.0094 0.0071 0.0197 0.0154 0.0119 0.0091 0.0069 0.0192 0.0150 0.0116 0.0089 0.0068 0.0188 0.0146 0.0113 0.0087 0.0066 0.0183 0.0143 0.0110 0.0084 0.0064 -2.5 -2.6 -2.7 -2.8 -2.9 0.0062 0.0047 0.0035 0.0026 0.0019 0.0060 0.0045 0.0034 0.0025 0.0018 0.0059 0.0044 0.0033 0.0024 0.0018 0.0057 0.0043 0.0032 0.0023 0.0017 0.0055 0.0041 0.0031 0.0023 0.0016 0.0054 0.0040 0.0030 0.0022 0.0016 0.0052 0.0039 0.0029 0.0021 0.0015 0.0051 0.0038 0.0028 0.0021 0.0015 0.0049 0.0037 0.0027 0.0020 0.0014 0.0048 0.0036 0.0026 0.0019 0.0014 -3.0 -3.1 -3.2 -3.3 -3.4 0.0014 0.0010 0.0007 0.0005 0.0003 0.0013 0.0009 0.0007 0.0005 0.0003 0.0013 0.0009 0.0006 0.0005 0.0003 0.0012 0.0009 0.0006 0.0004 0.0003 0.0012 0.0008 0.0006 0.0004 0.0003 0.0011 0.0008 0.0006 0.0004 0.0003 0.0011 0.0008 0.0006 0.0004 0.0003 0.0011 0.0008 0.0005 0.0004 0.0003 0.0010 0.0007 0.0005 0.0004 0.0003 0.0010 0.0007 0.0005 0.0003 0.0002 -3.5 -3.6 -3.7 -3.8 -3.9 -4.0 0.0002 0.0002 0.0001 0.0001 0.0000 0.0000 0.0002 0.0002 0.0001 0.0001 0.0000 0.0000 0.0002 0.0001 0.0001 0.0001 0.0000 0.0000 0.0002 0.0001 0.0001 0.0001 0.0000 0.0000 0.0002 0.0001 0.0001 0.0001 0.0000 0.0000 0.0002 0.0001 0.0001 0.0001 0.0000 0.0000 0.0002 0.0001 0.0001 0.0001 0.0000 0.0000 0.0002 0.0001 0.0001 0.0001 0.0000 0.0000 0.0002 0.0001 0.0001 0.0001 0.0000 0.0000 0.0002 0.0001 0.0001 0.0001 0.0000 0.0000 附表：当 x  0 时 N(x) 表 这个表表示了当 x  0 时 N(x) 的值。使用这张表时可与内插法结合起来使用。例如： N(0.6278) = N(0.62) + 0.78[N(0.63) − N(0.62)] 0.7350 0.7324 0.78 (0.7357 0.7324) = = +  −

:::::出 0.5359 0. 0.5753 0.2 0.6141 0.30.6179062170.62550.62930.63310.63680.64060.64430.64800.6517 0.4 0.65540.659106628066640.67000.67360.67720.6808.68440.6879 0.69150.6950 0.70190.70540.70880.71230.71570.71900.7224 0.73570.73890.74220.74540.74860.75170.7549 0.75800.76l1 0.76730.77040.77340.77640.77940.78230.7852 0.78810.7910 0.79670.79950.80230.80510.80780.81060.8133 0.81590.8186 0.82380.82640.82890.83150.83400.83650.8389 0.8413084380.84610.84850.85080.85310.85540.85770.8: 0.86430.8665 87290.87490.8770 87900.88100.8830 0.88490.88690.88880.89070.89250.89440.89620.8980089970.9015 1.3 0.9032090490906609082090990.91150913109147091620.9177 091920.92070.92220.92360.92510.92650.92790.92920.93060.9319 0.93320.9345093570.93700.93820.93940.94060.94180.94290.9441 1.6 0.9452 0.94740.94840.94950.95050.9515 0.95350.9545 1.7 0.9554 0.95730.95820.95910.95990.9608 0.96250.9633 0.9641 0.96560.96640.96710.96780.9686 0.96990.9706 0.971309719097260.97320.973809744097500.97560.97610.9767 0.9772 0.9803 0.98120.9817 0.9881 0.98870.9890 0.9893 0.9909 0.99130.9916 0.99310.99320.99340.9936 2.5 0.99380.99400.99410.99430.9945 0.9948 99510.9952 0.99530.9955099560.99570.9959 0.9961 0.99630.9964 0.99650.99660.99670.99680.9969 0.9971 092 0.99730.9974 2.8 0.99740.9975099760.99770.9977 0.99790.99790.99800.9981 0.9981099820.99820.99830.9984 0.99850.99850.99860.9986 30099860.9987099870.9998 0.99890.9989 0.99900.9991099910.99 0.9992 09320990 0.9993 0.99940.9994 0.9994 0.99950.999 9995 099950.9996 0.99960.9996 0.99960.9997 0.9997 0.99970.9997 0.99970.9997 0.99970.9998 0.99980.9998 0.99980.9998 99980.9998 99980.9998 0.9998 9999 99990.99990.999 99990.9999 0.9999 0.9999 99990.99990.999 0.99990.9999 0.99990.99990.99990.99990.99990.99990.9999 0.99990.99 3.9 1.000010000100001.0000100001.00001.00001.00001.00001.0000 1.00001.00001.0000100001.0000 1.00001.00001.00001.0000

II x .00 .01 .02 .03 .04 .05 .06 .07 .08 .09 0.0 0.1 0.2 0.3 0.4 0.5000 0.5398 0.5793 0.6179 0.6554 0.5040 0.5438 0.5832 0.6217 0.6591 0.5080 0.5478 0.5871 0.6255 0.6628 0.5120 0.5517 0.5910 0.6293 0.6664 0.5160 0.5557 0.5948 0.6331 0.6700 0.5199 0.5596 0.5987 0.6368 0.6736 0.5239 0.5636 0.6026 0.6406 0.6772 0.5279 0.5675 0.6064 0.6443 0.6808 0.5319 0.5714 0.6103 0.6480 0.6844 0.5359 0.5753 0.6141 0.6517 0.6879 0.5 0.6 0.7 0.8 0.9 0.6915 0.7257 0.7580 0.7881 0.8159 0.6950 0.7291 0.7611 0.7910 0.8186 0.6985 0.7324 0.7642 0.7939 0.8212 0.7019 0.7357 0.7673 0.7967 0.8238 0.7054 0.7389 0.7704 0.7995 0.8264 0.7088 0.7422 0.7734 0.8023 0.8289 0.7123 0.7454 0.7764 0.8051 0.8315 0.7157 0.7486 0.7794 0.8078 0.8340 0.7190 0.7517 0.7823 0.8106 0.8365 0.7224 0.7549 0.7852 0.8133 0.8389 1.0 1.1 1.2 1.3 1.4 0.8413 0.8643 0.8849 0.9032 0.9192 0.8438 0.8665 0.8869 0.9049 0.9207 0.8461 0.8686 0.8888 0.9066 0.9222 0.8485 0.8708 0.8907 0.9082 0.9236 0.8508 0.8729 0.8925 0.9099 0.9251 0.8531 0.8749 0.8944 0.9115 0.9265 0.8554 0.8770 0.8962 0.9131 0.9279 0.8577 0.8790 0.8980 0.9147 0.9292 0.8599 0.8810 0.8997 0.9162 0.9306 0.8621 0.8830 0.9015 0.9177 0.9319 1.5 1.6 1.7 1.8 1.9 0.9332 0.9452 0.9554 0.9641 0.9713 0.9345 0.9463 0.9564 0.9649 0.9719 0.9357 0.9474 0.9573 0.9656 0.9726 0.9370 0.9484 0.9582 0.9664 0.9732 0.9382 0.9495 0.9591 0.9671 0.9738 0.9394 0.9505 0.9599 0.9678 0.9744 0.9406 0.9515 0.9608 0.9686 0.9750 0.9418 0.9525 0.9616 0.9693 0.9756 0.9429 0.9535 0.9625 0.9699 0.9761 0.9441 0.9545 0.9633 0.9706 0.9767 2.0 2.1 2.2 2.3 2.4 0.9772 0.9821 0.9861 0.9893 0.9918 0.9778 0.9826 0.9864 0.9896 0.9920 0.9783 0.9830 0.9868 0.9898 0.9922 0.9788 0.9834 0.9871 0.9901 0.9925 0.9793 0.9838 0.9875 0.9904 0.9927 0.9798 0.9842 0.9878 0.9906 0.9929 0.9803 0.9846 0.9881 0.9909 0.9931 0.9808 0.9850 0.9884 0.9911 0.9932 0.9812 0.9854 0.9887 0.9913 0.9934 0.9817 0.9857 0.9890 0.9916 0.9936 2.5 2.6 2.7 2.8 2.9 0.9938 0.9953 0.9965 0.9974 0.9981 0.9940 0.9955 0.9966 0.9975 0.9982 0.9941 0.9956 0.9967 0.9976 0.9982 0.9943 0.9957 0.9968 0.9977 0.9983 0.9945 0.9959 0.9969 0.9977 0.9984 0.9946 0.9960 0.9970 0.9978 0.9984 0.9948 0.9961 0.9971 0.9979 0.9985 0.9949 0.9962 0.9972 0.9979 0.9985 0.9951 0.9963 0.9973 0.9980 0.9986 0.9952 0.9964 0.9974 0.9981 0.9986 3.0 3.1 3.2 3.3 3.4 0.9986 0.9990 0.9993 0.9995 0.9997 0.9987 0.9991 0.9993 0.9995 0.9997 0.9987 0.9991 0.9994 0.9995 0.9997 0.9998 0.9991 0.9994 0.9996 0.9997 0.9988 0.9992 0.9994 0.9996 0.9997 0.9989 0.9992 0.9994 0.9996 0.9997 0.9989 0.9992 0.9994 0.9996 0.9997 0.9989 0.9992 0.9995 0.9996 0.9997 0.9990 0.9993 0.9995 0.9996 0.9997 0.9990 0.9993 0.9995 0.9997 0.9998 3.5 3.6 3.7 3.8 3.9 4.0 0.9998 0.9998 0.9999 0.9999 1.0000 1.0000 0.9998 0.9998 0.9999 0.9999 1.0000 1.0000 0.9998 0.9999 0.9999 0.9999 1.0000 1.0000 0.9998 0.9999 0.9999 0.9999 1.0000 1.0000 0.9998 0.9999 0.9999 0.9999 1.0000 1.0000 0.9998 0.9999 0.9999 0.9999 1.0000 1.0000 0.9998 0.9999 0.9999 0.9999 1.0000 1.0000 0.9998 0.9999 0.9999 0.9999 1.0000 1.0000 0.9998 0.9999 0.9999 0.9999 1.0000 1.0000 0.9998 0.9999 0.9999 0.9999 1.0000 1.0000