here for a random error, expected error =(a+b)/2 =(10-3+(-10-3))/2 =0
and std deviation for a random error=(b-a)/sqrt(12) =(10-3-(-10-3))/sqrt(12)=2*10-3/sqrt(12)
therefore for sum of 1000 aggregate errors;
expected total error =0*1000=0
and std error =2*10-3*sqrt(1000)/sqrt(12)=0.0183
hence interval in which 95% of aggregate error will fall =estimated mean -/+z*std error
=0 -/+1.96*0.0183 =-0.0358 to 0.0358
(c) We taka a sum of 10000 numbers, each of which is rounded up to 10-3....
(c) We taka a sum of 10000 numbers, each of which is rounded up to 10-3. Let us assume that the resulting errors are random variables from a uniform distribution over the in- terval (-10/2, 10-3/2). Find an interval (the narrowest possible), into which the total aggregate error will fall with probability equal to at least 0.95.
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