DESCRIPTIVE ANALYTICS
1. A producer of computer aided design software for the aerospace industry receives numerous calls for technical support. Tracking software is used to monitor response and resolution times. In addition, the company surveys customers who request support using the following scale:
0 – Did not meet expectations
1- Marginally met expectations
2- Met expectations
3- Exceeded expectations
4- Greatly exceeded expectations
The questions are as follows:
Q1: Did the support representative explain the process for resolving your problem?
Q2: Did the support representative keep you informed about the status of progress in resolving your problem?
Q3 : Was the support representative courteous and professional?
Q4: Was your problem resolved?
Q5: Was your problem solved in an acceptable amount of time?
Q6: Overall, how did you find the service provided by our technical support department?
A final question asks the customer to rate the overall quality of the product using a scale : 0-very poor, 1 – poor, 2- good, 3- very good, 4- excellent. A sample of survey responses and associated resolution and response data are provided in the file customer support survey . Use appropriate tool to analyze these sample data and write a report to the manager explaining your findings and conclusions.
2. Using the data in the excel file Consumer Transport Survey, develop a cross tabulation for gender and vehicle driven; then convert this table into probabilities and answer the following questions:
a. What is the probability that a respondent is female?
b. What is the probability that a respondent drives an SUV?
c. What is the probability that a respondent is male and drives a minivan?
d. What is the probability that a female respondent drives either a truck or an SUV?
e. If it is known that an individual drives a car, what is the probability that the individual is female?
f. If it is known that an individual is male, what is the probability that he drives an SUV?
g. Determine whether the random variable “Gender” and the event “Vehicle driven” are statistically independent. What would this mean for advertisers?
3. Using the data in the worksheet Consumer Transportation Survey, develop 95% confidence intervals for the following:
a. The proportion of individuals who are satisfied with their vehicle
b. The proportion of individuals who have at least one child.
c. The hours per week that an individual will spend in his or her vehicle.
d. The number of miles driven per week.
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