12 temperature measurements are made in a laboratory over a period of time and the following values are obtained: 46,45,45,47,48,49,50,52,51,51,14,36 Use Chauvenet's criterion to identify any outliers in the data which should be rejected. Don't use the chauvenets table. Use the normal distribution table.
12 temperature measurements are made in a laboratory over a period of time and the following values are obtained: 46,45,45,47,48,49,50,52,51,51,14,36 Use Chauvenet's criterion to identify any outliers in the data which should be rejected. Don't use the chauvenets table. Use the normal distribution table.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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12 temperature measurements are made in a laboratory over a period of time and the following
values are obtained:
46,45,45,47,48,49,50,52,51,51,14,36
Use Chauvenet's criterion to identify any outliers in the data which should be rejected. Don't use the
chauvenets table. Use the normal distribution table.
es/standard-normal-table
0.06
0.07
0.08
Z 0.00 0.0180 0.0120 0.0160 0.0199 0.0239 0.0279 0.0319
0.0000 0.0040
0.0398 0.0438 0.0478 0.0517 0.0557 0.0596
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
=
1.0
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
20
1.9
2.0
2.1
2.2
2.3
74
2.4
2.5
2.6
24
2.7
2.8
2.9
3.0
3.1
=
Ee
0.04 0.05
0.02
02 0.03
0.1179 0.1217 0.1255 0.1293 0.1331 0.1368
0.1554 0.1591 0.1628 0.1664 0.1700 0.1736
3.5
3.6
3.7
3.8
0.0793 0.0832 0.0871 0.0910 0.0948 0.0987 0.1026 0.10 1480 0.1517
0.1879
0.1915 0.19502019 0.2054 0.2088 0.2123 0.2157 0.2190 0.2224
0.2422 0.2454 0.2486 0.2517 0.2549
0.1985
0.2324
0.2257 0.2293
0.2580 0.2611 0.2642
0.2389
Amor P7704 0.2764 0.2794 0.2823 0.2852
0.2673
0.2734
0.3051 0.3078 0.3106 0.3133
0.2881 0.2910 0.2939 0.2967 0.2995 0.3023
0.3159 0.3186 0.3212 0.3238 0.3264 0.3289 0.3315 0.3340 0.3365 0.3389
9 0.3621
0.3438 0.3461 0.3485 0.3508 0.3531 0.3554 0.3577 0.3599
0.3810 0.3830
0.313
0.3849 0.3869 0.3888 0.3907 0.3925 0.3944 0.3962 0.3980 0.3997 0.4015
0.4032 0.4049 0.4066 0.4082 0.4099 0.4115 0.4131 0.4147 0.4162 0.4177
0.4265 0.4279 0.4292 0.4306 0.4319
0.4192 0.4207 0.4222 0.4236 0.4251
0.4394 0.4406 0.4418 0.4429 0.4441
0.4332 0.4345 0.4357 0.4370 0.4382
0.4515 0.4525 0.4535 0.4545
0.4608
04452 0.4463 0.4474 0.4484 0.4495 0.4505 0.4616 0.4625 0.4633
9.4554 0.4564 0.4573 0.4582 04591 0.4593.4093 0.4699 0.4706
0.4641 0.4649 0.4656 0.4664 0.4671 0.4678 0.4056 0.4756 0.4761 0.4767
0.4713 0.4719 04726 0.4732 0.4738 0.4744 0.4750 0.4756 0.4812 0.4817
0.4803 0.4808 0.4
0.4772 0.4778 0.4783 0.4788 0.4793 0.4798
0.4842 0.4846 0.4850 0.4854 0.4857
0.4821 0.4826 0.4830 0.4834 0.4838
0.4878
0.4881 0.4884 0.4887 0.4890
0.4861 0.4864 0.4868 0.4871 0.4875
0.4909 0.4911 0.4913 0.4916
0.4893 0.4896 0.4898 0.4901 0.4904 0.4906
0.4931 0.4932 0.4934 0.4936
0.4918 0.4920 0.4922 0.4925 0.4927 0.4929 0.4948 0.4949 0.4951 0.4952
0.4938 0.4940 0.4941 0.4943 0.4545 0.4940 0.4961 0.4962 0.4963 0.4964
0.4953 0.4955 0.4956 0.4957 0.4959 0.4960 0.4951 0.4972 0.4973 0.4974
0.4965 0.4966 0.4967 0.4968 0.4969 0.497004973 0.4379 0.4980 0.4981
0.4974 0.4975 0.4976 0.4977 0.497 0.4975 0.4985 0.4986 0.4986
0.4977
0.4961 0.4982 0.4982 0.4983 0.4984 0.4984 0.49850400 0.4990 0.4990
0.4987 0.4987 0.4967 0.4988 0.4988 0.4989 0.492 0.4992 0.4993 0.4993
0.4990 0.4991 0.4991 0.4991 0.4992 0.4992 0.4992 0.4995 0.4995 0.4995
0493 0.4993 0.4994 0.4994 0.4994 0.4994 0.499404990 0.4996 0.4997
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0.4999 0.4999 0.4999 0.4999 0.4999 0.49990
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