. A web-based algorithm classifies emails as spams or no-spam ata success rate of 70% of detecting a spam. A. Find a 95% confidenceinterval for the number of spam emails expected within a sample of100 emails. B. Find a 95% confidence interval for the accuracy(standard deviation) of the detected number of spams within the 100emails. C. Determine the probability that at least 85 emails out of100 emails are spams. D. If for the 100 emails above, there wasindeed actually 85 spam emails, test the claim that the samealgorithm can still detect at least 85 emails with a 95%confidence.
