Answer:
Check Explanation.
Explanation:
Note that the sample size given in the question is fifty(50).
The round-off error is then uniformly distributed on the interval (-.5,.5). Which makes us to have a uniform distribution parameter a = -0.5 and b = 0.5.
Step one: look for the mean.
The mean, μ = (a + b)/2 = (- 0.5 + 0.5)/2 = 0. Which means that our mean is zero(0).
Step two: Calculate the standard deviation from the formula below;
Standard deviation,σ = (b - a)/√12.
Standard deviation,σ = (0.5 +0.5)/√12.
Standard deviation,σ = 0.2887.
Step three: Calculate the standard error.
standard error = σ/√n.
standard error = 0.0408
Therefore, the probability,P ;
Probability, P = 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.