Based on the Gaussian law of distribution of random errors, the number of errors that are expected to exceed the limit of ¬± a, where 0 represents the standard deviation, out of 1000 observations is

Based on the Gaussian law of distribution of random errors, the number

1.	Based on the Gaussian law of distribution of random errors, the number of errors that are expected to exceed the limit of ¬± a, where 0 represents the standard deviation, out of 1000 observations is
A.	317
B.	46
C.	30
D.	3
Answer» B. 46

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Based on the Gaussian law of distribution of random errors, the number of errors that are expected to exceed the limit of ¬± a, where 0 represents the standard deviation, out of 1000 observations is

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