Find the error of approximation as the absolute value of the difference between the exact value and the approximate value: 8. Error = exact value minus approximate value= . Keep 4 decimals. 9. Find the relative error as [(error)/(exact value)]*100%= Enter the numerical value into LON-CAPA without % symbol. B. We are now about to conduct an experiment where 1,000 random samples of size n = 100 are taken from a Bernoulli population with p = .30. For each sample we will compute the sample proportion p and the confidence limits for the normal theory 95% confidence interval estimate of p. We will then count how many of the intervals covered the population parameter p = .30. Label Columns cl1- c15 as xgenl, pgenl, LCL1, UCL1 and Coveragel, respectively. LCL stands for lower confidence limit, and UCL stands for upper confidence limit. We generate the counts x for the 1,000 random samples of size n = 100 directly as follows. Use Calc > Random Data > Binomial to get 1,000 rows of data generated from the binomial distribution with 100 as number of trials and 0.30 as event probability. Store the result in Column xgenl. Use Calc > Calculator to determine the sample proportions p = x/100; specifically, calculate the expression xgen1 /100 and store the result in Column pgenl