You are a marketing analyst for a retail company that sells clothing and accessories online. Your company is interested in improving customer satisfaction by analyzing customer feedback data collected over the past year. The company has gathered a large amount of data on customer satisfaction levels and now wants you to analyze this data using quantitative data analysis techniques. In this written response, you will draft your plan: Write about how you will sample the customer feedback data collected by the company. Develop a research question that can be answered through quantitative data analysis. For example, "What factors are associated with higher levels of customer satisfaction?" Identify the variables that will be used in the analysis. For example, variables could include customer age, gender, purchase history, website usability, product quality, shipping time, and customer service. Choose the appropriate statistical tests to analyze the data. For example, you might use descriptive statistics, correlation analysis, regression analysis, or chi-square tests. Write about how you will conduct the data analysis and interpret the results. What conclusions do you think you will find based on the data analysis? What insights do you think you will gain from the analysis? What recommendations do you think you will make to the company to improve customer satisfaction? You must provide a reference list of at least four credible sources used in the report