Question 1 of 5 Share Facebook Twitter LinkedIn WhatsApp Email Copy Link Why is a quantitative analysis important to the decision-making process? A. It examines and describes large sets of data. B. It creates a risk-management dashboard. C. It increases the experience of top management. D. It provides definable metric-analysis surveys. Submit Answer
Question 2 of 5 Share Facebook Twitter LinkedIn WhatsApp Email Copy Link Which type of analytics classification uses experimental design and optimization to suggest a course of action? A. Descriptive analytics B. Diagnostic analytics C. Predictive analytics D. Prescriptive analytics Submit Answer
Question 3 of 5 Share Facebook Twitter LinkedIn WhatsApp Email Copy Link Which two tools make it easier to detect an out-of-range error? A. Experimental studies B. Relational databases C. Observational studies D. Spreadsheets Submit Answer
Question 4 of 5 Share Facebook Twitter LinkedIn WhatsApp Email Copy Link Which two characteristics must a researcher consider concerning data quality when ensuring that an analysis is based on a clean data set? A. The data must be relevant. B. The age of the data does not matter if the data are complete. C. The data cannot contain outliers. D. The data elements must be unique. Submit Answer
Question 5 of 5 Share Facebook Twitter LinkedIn WhatsApp Email Copy Link Why are experiments conducted using random sample populations? A. Because studying an entire population is difficult and impractical B. Because entire population data have too many outliers C. Because random sample populations ensure bias elimination D. Because the software to analyze entire populations is expensive Submit Answer