Class Notes (1,100,000)
CA (650,000)
UTSC (30,000)
STAB22H3 (200)
Lecture

STAB22-TABLE.BINOMIAL.pdf


Department
Statistics
Course Code
STAB22H3
Professor
Ken Butler

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Statistical Tables for Students Binomial
Table 1 Binomial distribution — probability function
p
x0.01 0.0
5
0.10 0.1
5
0.20 0.2
5
0.
3
00.
35
0.
4
00.
45
0.
5
0
n=1 0.9900 .9500 .9000 .8500 .8000 .7500 .7000 .6500 .6000 .5500 .5000 1
1.0100 .0500 .1000 .1500 .2000 .2500 .3000 .3500 .4000 .4500 .5000 0
n=2 0.9801 .9025 .8100 .7225 .6400 .5625 .4900 .4225 .3600 .3025 .2500 2
1.0198 .0950 .1800 .2550 .3200 .3750 .4200 .4550 .4800 .4950 .5000 1
2.0001 .0025 .0100 .0225 .0400 .0625 .0900 .1225 .1600 .2025 .2500 0
n=3 0.9703 .8574 .7290 .6141 .5120 .4219 .3430 .2746 .2160 .1664 .1250 3
1.0294 .1354 .2430 .3251 .3840 .4219 .4410 .4436 .4320 .4084 .3750 2
2.0003 .0071 .0270 .0574 .0960 .1406 .1890 .2389 .2880 .3341 .3750 1
3.0001 .0010 .0034 .0080 .0156 .0270 .0429 .0640 .0911 .1250 0
n=4 0.9606 .8145 .6561 .5220 .4096 .3164 .2401 .1785 .1296 .0915 .0625 4
1.0388 .1715 .2916 .3685 .4096 .4219 .4116 .3845 .3456 .2995 .2500 3
2.0006 .0135 .0486 .0975 .1536 .2109 .2646 .3105 .3456 .3675 .3750 2
3.0005 .0036 .0115 .0256 .0469 .0756 .1115 .1536 .2005 .2500 1
4.0001 .0005 .0016 .0039 .0081 .0150 .0256 .0410 .0625 0
n=5 0.9510 .7738 .5905 .4437 .3277 .2373 .1681 .1160 .0778 .0503 .0313 5
1.0480 .2036 .3281 .3915 .4096 .3955 .3602 .3124 .2592 .2059 .1563 4
2.0010 .0214 .0729 .1382 .2048 .2637 .3087 .3364 .3456 .3369 .3125 3
3.0011 .0081 .0244 .0512 .0879 .1323 .1811 .2304 .2757 .3125 2
4.0005 .0022 .0064 .0146 .0284 .0488 .0768 .1128 .1563 1
5.0001 .0003 .0010 .0024 .0053 .0102 .0185 .0313 0
n=6 0.9415 .7351 .5314 .3771 .2621 .1780 .1176 .0754 .0467 .0277 .0156 6
1.0571 .2321 .3543 .3993 .3932 .3560 .3025 .2437 .1866 .1359 .0938 5
2.0014 .0305 .0984 .1762 .2458 .2966 .3241 .3280 .3110 .2780 .2344 4
3.0021 .0146 .0415 .0819 .1318 .1852 .2355 .2765 .3032 .3125 3
4.0001 .0012 .0055 .0154 .0330 .0595 .0951 .1382 .1861 .2344 2
5.0001 .0004 .0015 .0044 .0102 .0205 .0369 .0609 .0938 1
6.0001 .0002 .0007 .0018 .0041 .0083 .0156 0
n=7 0.9321 .6983 .4783 .3206 .2097 .1335 .0824 .0490 .0280 .0152 .0078 7
1.0659 .2573 .3720 .3960 .3670 .3115 .2471 .1848 .1306 .0872 .0547 6
2.0020 .0406 .1240 .2097 .2753 .3115 .3177 .2985 .2613 .2140 .1641 5
3.0036 .0230 .0617 .1147 .1730 .2269 .2679 .2903 .2918 .2734 4
4.0002 .0026 .0109 .0287 .0577 .0972 .1442 .1935 .2388 .2734 3
5.0002 .0012 .0043 .0115 .0250 .0466 .0774 .1172 .1641 2
6.0001 .0004 .0013 .0036 .0084 .0172 .0320 .0547 1
7.0001 .0002 .0006 .0016 .0037 .0078 0
n=8 0.9227 .6634 .4305 .2725 .1678 .1001 .0576 .0319 .0168 .0084 .0039 8
1.0746 .2793 .3826 .3847 .3355 .2670 .1977 .1373 .0896 .0548 .0313 7
2.0026 .0515 .1488 .2376 .2936 .3115 .2965 .2587 .2090 .1569 .1094 6
3.0001 .0054 .0331 .0839 .1468 .2076 .2541 .2786 .2787 .2568 .2188 5
4.0004 .0046 .0185 .0459 .0865 .1361 .1875 .2322 .2627 .2734 4
5.0004 .0026 .0092 .0231 .0467 .0808 .1239 .1719 .2188 3
6.0002 .0011 .0038 .0100 .0217 .0413 .0703 .1094 2
7.0001 .0004 .0012 .0033 .0079 .0164 .0313 1
8.0001 .0002 .0007 .0017 .0039 0
0.
99
0.
95
0.
9
0 0.8
5
0.80 0.
75
0.
7
0 0.6
5
0.60 0.
55
0.
5
0x
p
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