bus_352_benchmark_assignment_case_study__1

Managing Ashland MultiComm Services Student’s Name Institution Part 1 Chapter 2 Question 1 The taskforce established the variables as numerical descriptive measures as frequency of types of customer service errors, cost and the types of errors. Since the cost of wrong billing error comprise the cost of types of errors, the study did not obtain numerical descriptive statistics What is more, the wrong billing error presented only three types thus, from those three, there is proof that incorrect account number error is the most expensive type of error. The results of descriptive as shown in Table 1 below. Table 1: Descriptive for Types of Error Therefore, the above descriptive statistics for the variables yield the Boxplot below as shown in Figure 1. Figure 1: Boxplot for Frequency of Types of CS Errors The descriptive statistics table above suggests that the average type of errors is 29.87 and the deviation from the mean of the error types is 30.1, the minimum error recorded was 8 while maximum was 137. Regards to total error recorded, the value was 448. Using the same procedure, descriptive measures for costs of type of errors was computed as indicated in Table 2 below. Table 2: Descriptive for Costs of Type of Errors Therefore, the above descriptive statistics for the variables yield the Boxplot below as shown in Figure 1. Figure 2: Boxplot for Cost of Types of Errors Based on the Cost of type of errors, it is evident that the average cost is 46.75 with a standard deviation off 24.49. The first and third quartile relate to wrong number of connections and wrong subscription type respectively. Conversely, the median suggests the wrong end date while the cost is minimum to incorrect accessory type of