Each item produced by a certain manufacturer is, independently, of acceptable quality with probability .95. Approximate the probability that at most 10 of the next 150 items produced are unacceptable.
Each item produced by a certain manufacturer is, independently, of acceptable quality with probability .95. Approximate the probability that at most 10 of the next 150 items produced are unacceptable.
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
Table is provided in image.
Each item produced by a certain manufacturer is, independently, of acceptable quality with
probability .95. Approximate the probability that at most 10 of the next 150 items produced are
unacceptable.

Transcribed Image Text:0.5
1
1.5
2
2.5
3.5
4
4.5
5
0.3679
0.1353 0.0821
0.5578 0.4060 0.2873 0.199|
0.6065
0.2231
0.0498
0.0302
0.0183
0.0111
0.0067
1
0.9098
0.7358
0.1359
0.0916
0.0611
0.0404
0.6767 0.5438 0.4232 0.3208
0.7576 0.6472
2
0.9856 0.9197 0.8088
0.2381
0.1736 0.1247
3
0.9982
0.9810
0.9344
0.8571
0.5366 0.4335
0.3423 0.2650
O0.99980.09630.081T 00173 08012 0.8153 0.7254
0.8576
0.6288
0.5321
0.4405
5
1.0000
0.9994
0.9955 0.9834 0.9580
0.9161
0.7851
0.7029 0.6160
6.
1.0000
0.9999 0.9991
0.9955 0.9858
0.9665
0.9347
0.8893
0.8311
0.7622
7
1.0000
1.0000 0.9998 0.9989 0.9958
0.9881
0.9733
0.9489
0.9134
0.8666
1.0000
1.0000
1.0000 0.9998 0.9989
0.9962
0.9901
0.9786
0.9597 0.9319
1.0000
1.0000
1.0000
1.0000 0.9997 0.9989 0.9967
0.9919
0.9829 0.9682
10
1.0000
1.0000
1.0000
1.0000 0.9999 0.9997 0.9990 0.9972
0.9933 0.9863
11
1.0000
1.0000
1.0000
1.0000
1.0000
0.9999
0.9997
0.9991
0.9976 0.9945
12
1.0000 1.0000
1.0000
1.0000
1.0000
1.0000
0.9999
0.9997
0.9992 0.9980
13
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000 0.9999
0.9997 0.9993
14
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
0.9999 0.9998
15
1.0000
1.0000 1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000 0.9999
16
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
5.5
6
6.5
7
7.5
8.
8.5
9.5
10
0.0041
0.0025
0.0015
0.0009
0.0006 0.0003 0.0002
0.0001
0.0001
0.0000
1
0.0266 0.0174
0.0113 0.0073
0.0047
0.0030 0.0019
0.0012 0.0008 0.0005
0.0884 0.0620 0.0430
0.0296
0.0203
0.0138 0.0093
0.0062 0.0042 0.0028
3
0.2017 0.1512 0.1118 0.0818
0.0591
0.0424 0.0301
0.0212 0.0149 0.0103
4
0.3575 0.2851
0.2237
0.1730
0.1321
0.0996 0.0744 0.0550 0.0403 0.0293
0.5289 0.4457 0.3690 0.3007
0.2414 0.1912 0.1496
0.1157 0.0885 0.0671
6
0.6860 0.6063 0.5265 0.4497 0.3782 0.3134 0.2562 0.2068 0.1649 0.1301
7
0.8095 0.7440
0.6728 0.5987 0.5246
0.4530 0.3856 0.3239 0.2687 0.2202
0.8944 0.8472 0.7916 0.7291 0.6620 0.5925 0.5231 0.4557 0.3918 0.3328
9
0.9462 0.9161
0.8774 0.8305 0.7764 0.7166 0.6530 0.5874 0.5218 0.4579
10
0.9747 0.9574 0.9332 0.9015 0.8622 0.8159 0.7634 0.7060 0.6453 0.5830
11
0.9890 0.9799 0.9661 0.9467
0.9208 0.8881 0.8487 0.8030 0.7520 0.6968
12
0.9955 0.9912 0.9840 0.9730 0.9573 0.9362 0.9091 0.8758 0.8364 0.7916
13
0.9983 0.9964 0.9929 0.9872
0.9784 0.9658 0.9486 0.9261
0.8981
0.8645
14
0.9994 0.9986 0.9970 0.9943
0.9897 0.9827 0.9726 0.9585 0.9400 0.9165
15
0.9998 0.9995
0.9988
0.9976 0.9954 0.9918 0.9862 0.9780 0.9665 0.9513
16
0.9999 0.9998
0.9996 0.9990 0.9980 0.9963 0.9934 0.9889 0.9823 0.9730
17
1.0000 0.9999
0.9998
0.9996 0.9992 0.9984 0.9970 0.9947 0.9911
0.9857
18
1.0000
1.0000
0.9999 0.9999 0.9997 0.9993 0.9987 0.9976 0.9957 0.9928
19
1.0000 1.0000
1.0000 1.0000 0.9999 0.9997 0.9995 0.9989 0.9980 0.9965
20
1.0000
1.0000
1.0000
1.0000
1.0000 0.9999
0.9998 0.9996 0.9991
0.9984
21
1.0000 1.0000
1.0000 1.0000
1.0000
1.0000 0.9999 0.9998 0.9996 0.9993
22
1.0000
1.0000
1.0000
1.0000 1.0000
1.0000
1.0000 0.9999 0.9999 0.9997
23
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
1.0000 0.9999 0.9999
24
1.0000
1.0000
1.0000
1.0000 1.0000
1.0000
1.0000
1.0000
1.0000
1.0000
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