A British car insurance company routinely measures the satisfaction of its clients. In the last annual quarter, the level of customer satisfaction dropped from 7.5 to 7.0 on a 10-point scale. Because customer satisfaction has been shown to be a good predictor for the number of sales (R2 = 0.62), the sales director feels that action should be taken. The HR director, however, points out that the customer satisfaction metric is based only on a sample of the company's total number of clients, so he asks the company's data analyst to calculate a confidence interval (CI). This 95% CI turns out to be between 6.2 and 7.8, meaning that there is 95 per cent confidence that the true level of customer satisfaction falls somewhere between these two values. Both the sales director and the HR director consider this confidence interval to be too wide, and therefore decide to take no further action at this point. In effect, it is possible that customer satisfaction remains at least as high as last quarter. Question 7: Why do you think do both the sales director and the HR director consider the confidence interval (between 6.2 and 7.8) to be too wide? What would you do to deliver a high quality report