(b) Between 30 and 40 chips are defective 2B The number of flaws in bolts of cloth in textile manufacturing is assumed to be Poisson distributed with a mean of 0.2 flaw per square meter. (Write your answers, do not try to compute or simplify the result) (a) What is the probability that there is one flaw in one square meter of cloth? (b) What is the probability that there is one flaw in 20 square meters of cloth? (c) What is the probability that there are no flaws in 10 square meters of cloth? (d) What is the probability that there are at least two flaws in 20 square meters of cloth?
(b) Between 30 and 40 chips are defective 2B The number of flaws in bolts of cloth in textile manufacturing is assumed to be Poisson distributed with a mean of 0.2 flaw per square meter. (Write your answers, do not try to compute or simplify the result) (a) What is the probability that there is one flaw in one square meter of cloth? (b) What is the probability that there is one flaw in 20 square meters of cloth? (c) What is the probability that there are no flaws in 10 square meters of cloth? (d) What is the probability that there are at least two flaws in 20 square meters of cloth?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:Cumulative Standard Normal Distribution
$(z)= [
2.0
2.1
ساس
1
√2π
3.6
3.7
3.8
3.9
du
Z
0.00
0.01
0.02
0.03
0.04
0.51595
0.55567
0.2
0.3
0.4
0.5
0.79389
0.79673
1.1
1.2
1.3
1.7
0.95543
1.8
0.96407
0.96485
0.0 0.50000 0.50399 0.50798 0.51197
0.1 0.53983 0.54379 0.54776 0.55172
0.57926 0.58317 0.58706 0.59095 0.59483
0.61791 0.62172 0.62551 0.62930 0.63307
0.65542 0.65910 0.62276 0.66640 0.67003
0.69146 0.69497 0.69847 0.70194 0.70540
0.6 0.72575 0.72907 0.73237 0.73565 0.73891
0.7 0.75803 0.76115 0.76424 0.76730 0.77035
0.8 0.78814 0.79103
0.79954
0.9 0.81594 0.81859 0.82121 0.82381 0.82639
1.0 0.84134 0.84375 0.84613 0.84849 0.85083
0.86433 0.86650 0.86864 0.87076 0.87285
0.88493 0.88686 0.88877 0.89065 0.89251
0.90320 0.90490 0.90658 0.90824 0.90988
1.4 0.91924 0.92073 0.92219 0.92364 0.92506
1.5 0.93319 0.93448 0.93574 0.93699 0.93822
1.6
0.94520 0.94630 0.94738 0.94845 0.94950
0.95637 0.95728 0.95818 0.95907
0.96637
0.96562
0.96711
0.97320 0.97381
0.97725 0.97778 0.97831 0.97882 0.97932
0.98214 0.98257 0.98300 0.98341 0.98382
0.98610 0.98645 0.98679 0.98713 0.98745
2.3 0.98928 0.98956 0.98983 0.99010 0.99036
2.4 0.99180 0.99202 0.99224 0.99245 0.99266
0.99413 0.99430
0.99379 0.99396
0.99446
2.5
0.99573 0.99585
0.99560
0.99534 0.99547
2.7 0.99653 0.99664 0.99674 0.99683 0.99693
2.8 0.99744 0.99752 0.99760 0.99767 0.99774
2.9 0.99813 0.99819 0.99825 0.99831 0.99836
3.0 0.99865 0.99869 0.99874 0.99878 0.99882
3.1 0.99903 0.99906 0.99910 0.99913 0.99916
3.2 0.99931 0.99934 0.99936 0.99938 0.99940
3.3 0.99952 0.99953 0.99955 0.99957 0.99958
3.4 0.99966 0.99968
0.99970
0.99969
0.99971
0.99980
0.99977 0.99978 0.99978 0.99979
0.99984 0.99985 0.99985 0.99986 0.99986
0.99989 0.99990
0.97128
0.97193 0.97257
2.2
2.6
3.5
0.99990 0.99990
0.99991
0.99993 0.99993 0.99993 0.99994 0.99994
0.99995 0.99995 0.99996 0.99996 0.99996
0
2
■ APPENDIX II
Cumulative Standard Normal Distribution (continued)
(z)=L
√√2n
du
z
0.05
0.06
Z
0.07
0.08
0.09
0.0 0.51994 0.52392 0.52790 0.53188 0.53586 0.0
0.1 0.55962 0.56356 0.56749 0.57142 0.57534 0.1
0.2 0.59871 0.60257 0.60642
0.61409
0.61026
0.2
0.3
0.64431 0.64803
0.63683
0.65173
0.64058
0.3
0.4 0.67364 0.67724 0.68082 0.68438 0.68793 0.4
0.5 0.70884 0.71226 0.71566 0.71904 0.72240 0.5
0.6 0.74215 0.74537 0.74857 0.75175
0.6
0.75490
0.77337 0.77637
0.7
0.77935 0.78230 0.78523 0.7
0.8
0.80510
0.80234
0.80785
0.81327
0.81057
0.8
0.9
0.83147
0.82894
0.83397
0.83891
0.83646
0.9
1.0
0.86214
1.0 0.85314 0.85543 0.85769 0.85993
1.1
0.87900 0.88100 0.88297
1.1 0.87493
0.87697
1.2
1.2
0.89616
0.89435
0.89796 0.89973 0.90147
1.3
0.91308
0.91149
0.91465
0.91773
0.91621
1.3
1.4 0.92647 0.92785 0.92922
1.4
0.93056 0.93189
1.5 0.93943 0.94062 0.94179 0.94295 0.94408 1.5
1.6 0.95053 0.95154 0.95254 0.95352
1.6
0.95448
0.95994
1.7
0.96080 0.96164
1.7
0.96246 0.96327
1.8
1.8
0.96784 0.96856 0.96926
0.97062
0.96995
1.9
0.97441
0.97615 0.97670
1.9
0.97500 0.97558
2.0 0.97982 0.98030
0.98124
0.98077
0.98169 2.0
2.1 0.98422 0.98461 0.98500 0.98537 0.98574 2.1
2.2 0.98778 0.98809 0.98840 0.98870 0.98899 2.2
2.3 0.99061 0.99086 0.99111 0.99134 0.99158 2.3
2.4 0.99286 0.99305 0.99324 0.99343 0.99361 2.4
2.5 0.99461 0.99477 0.99492 0.99506 0.99520 2.5
2.6 0.99598 0.99609 0.99621 0.99632 0.99643 2.6
2.7 0.99702 0.99711 0.99720 0.99728
2.7
0.99736
2.8
0.99781
0.99795
0.99788
0.99807
0.99801
2.8
2.9 0.99841 0.99846 0.99851 0.99856 0.99861 2.9
3.0 0.99886 0.99889 0.99893 0.99897 0.99900 3.0
3.1 0.99918 0.99921 0.99924 0.99926 0.99929 3.1
3.2 0.99942 0.99944 0.99946 0.99948 0.99950 3.2
3.3 0.99960 0.99961 0.99962 0.99964 0.99965 3.3
3.4 0.99972 0.99973 0.99974 0.99975 0.99976 3.4
3.5 0.99981 0.99981 0.99982 0.99983 0.99983 3.5
3.6 0.99987 0.99987 0.99988 0.99988 0.99989 3.6
3.7 0.99991 0.99992 0.99992 0.99992 0.99992 3.7
3.8 0.99994 0.99994
3.8
0.99995 0.99995 0.99995
3.9 0.99996 0.99996 0.99996 0.99997 0.99997 3.9
Transcribed Image Text:Ive,
(b) Between 30 and 40 chips are defective
2B The number of flaws in bolts of cloth in textile
manufacturing is assumed to be Poisson distributed with a
mean of 0.2 flaw per square meter. (Write your answers,
do not try to compute or simplify the result)
(a) What is the probability that there is one flaw in one
square meter of cloth?
(b) What is the probability that there is one flaw in 20
square meters of cloth?
(c) What is the probability that there are no flaws in 10
square meters of cloth?
(d) What is the probability that there are at least two flaws
in 20 square meters of cloth?
re placed in a functional test
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