When a randomly selected number A is rounded off to the nearest
integer R_A, it is reasonable to assume that the round-off error A-
R_A is uniformly distributed on the interval (-.5,.5)
If 50 numbers are rounded off to the nearest integer and then
averaged, approximate the probability that the resulting average
differs from the exact average of the 50 numbers by more than 0.1
(round your answer to 4 digits).
here for uniform distribution parameter a =-0.5 and b=0.5 |
mean μ=(a+b)/2 = | 0 |
standard deviation σ=(b-a)/√12= | 0.2887 |
for normal distribution z score =(X-μ)/σx | |
here mean= μ= | 0 |
std deviation =σ= | 0.2887 |
sample size =n= | 50 |
std error=σx̅=σ/√n= | 0.0408 |
probability that the resulting average differs from the exact average of the 50 numbers by more than 0.1:
probability =1-P(-0.1<X<0.1)=1-P((-0.1-0)/0.041)<Z<(0.1-0)/0.041)=1-P(-2.45<Z<2.45)=1-(0.9929-0.0071)=0.0142 |
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