Question

I need help in writing a web services that parse data and compute various statistics. You will write an app that uses those web services. You will write a web service, DataParserService that has a method, ParseData that accepts a string of numeric data separated by exactly one space and returns an array of doubles. No error checking is required; you can assume the user entered only doubles. You will write a web service, DescStatsService that has a method, GetDescStats that accepts an array of doubles and returns a DescriptiveStatistics object. This object contains the sample size, the average, and the standard deviation. No error checking is required. You will write a web service, CIService that has a method, GetCI that accepts an array of doubles and returns a ConfidenceInterval object. This object contains the (95%) lower class limit (LCL) and upper class limit (UCL). This web service is required to use the DescStatsService web service above. No error checking is required. You know how to calculate the sample size and average. The (sample) standard deviation (s) is found from: s=?((?_(i=1)^n??x_i^2-n¯x^2 ?)/(n-1)) where : ?_(i=1)^n?x_i^2 =x_1^2+x_2^2+?+x_n^2 A 95% confidence interval is calculated from: LCL= x ?-1.96 s/?n UCL= x ?+1.96 s/?n Note: this formula assumes a “large” sample which in practice is usually considered to be a sample of 30 or more data values. Your app should certainly work with this much data, but for debugging purposes

Type in data separated by spaces 4.4 2.33 5.26 8 11.1 3.49 9 2.22 Calculate Data Parser Service Results: 4.40, 2.33, 5.26, 8.00, 11.10, 3.49, 9.00, 2.22, s Service Results: Descriptive statistic Sample size: 8 Average: 5.73 Standard Deviation: 3.29 Confidence Interval Service Results: LCL: 3.45, UCL 8.00