Question 1. You are developing proforma reports and graphs of new data every week to be presented every Friday for the decision makers in your company. Which area best describes your work? (A) Data Science (B) Business Intelligence (C) Business Analysis

Question 2. You have been given clean data to obtain a forecast using Excel to run a simple linear regression on sales in a new region to determine regional trends. Which area best describes your work? (A) Data Science (B) Business Intelligence (C) Business Analysis

Question 3. You have been given a problem that requires proprietary software to solve complex statistical or machine learning problems. You run multiple linear and nonlinear optimizations to determine likelihood of scenarios within an ensemble approach as part of an ongoing research project. Which area best describes your work? (A) Data Science (B) Business Intelligence (C) Business Analysis

Question 4. Each of the three levels of Business Analytics contained techniques that are usually identified primarily with that level. Although every level could utilize all the techniques, which level is primarily known for routinely generating reports, dashboards, and scorecards. (A) Prescriptive Analytics (B) Predictive Analytics (C) Descriptive Analytics

Question 5. The three levels of Business Analytics were grouped with different titles of Business Intelligence and Advanced Analytics. From the presentation in this course, which statement is correct about Advanced Analytics? Statement (A) Advanced Analytics consists of Descriptive Analytics and Predictive Analytics only Statement (B) Advanced Analytics consists of Predictive Analytics and Prescriptive Analytics only Statement (C) Advanced Analytics consists of Descriptive Analytics and Prescriptive Analytics only

Question 6. The three levels of Business Analytics have primary objectives that are usually identified primarily with that level. How many statements are correct? 0 1 2 3 Statement A. Descriptive analytics determines future events that are likely. Statement B. Predictive analytics describes the past and present. Statement C. Prescriptive analytics addresses possible future events.

Question 7. Within the current Business Analytics taxonomy of "Descriptive Analytics, Predictive Analytics, Prescriptive Analytics," which analytic approaches were presented as most prominent in the text under Predictive Analytics? (A) Classification, Regression, Time Series (B) Optimization, Simulation, Heuristics (C) Reporting, Visualization, Dashboards

Question 8. As Delen states, "Data mining is one of the most important enablers of data analytics in general and predictive analytics in specific." A simple taxonomy of Data Mining was presented. Which statement is correct in describing the taxonomy of Data Mining as presented in the text? (A) Supervised, Semi-supervised, Unsupervised (B) Prediction, Association, Clustering (C) Descriptive, Predictive, Prescriptive

Question 9. As Delen states, "Data mining is one of the most important enablers of data analytics in general and predictive analytics in specific." A simple taxonomy of Data Mining was presented with examples of approaches within each classification. Which statement is correct in describing the taxonomy and the correct supervised or unsupervised approach? Statement (A) Prediction classification includes classification, regression, time series forecasting, all using supervised learning. Statement (B) Association classification includes segmentation, outlier analysis, all using unsupervised learning. Statement (C) Clustering classification includes affinity analysis, sequence analysis, link analysis, all using unsupervised learning.

Question 10. Delen indicates the most popular process and most used process is from IBM called CRISP. Which set of steps are correct and in the correct order for the CRISP process? Steps (A) Data, Selection, Cleaning, Transformation, Mining, Internalization Steps (B) Business Understanding, Data Understanding, Data Preparation, Model Building, Testing & Evaluation, Deployment Steps (C) Sample, Explore, Modify, Model, Assess Steps (D) Define, Measure, Analyze, Improve, Control

Question 11. Although CRISP is a popular and effective process, there are other processes that can be as effective. Knowledge of other processes can be helpful in industry. Which statement is correct? Statement (A) Process as part of Quality Management called 6-sigma is SEMMA Statement (B) Process developed by SAS is DMAIC Statement (C) One of the earliest was KDD

Question 12. Balanced Scorecards, Dashboards, Critical Success Factors (CSF), and Key Performance Indicators (KPI) utilize Descriptive Analytics within Business Analytics and Predictive Analytics as part of the continuum of Analytics. How many statements are correct? 0 1 2 3 4 Statement (A) Critical Success Factors (CSF) often includes quantitative variables whereas Key Performance Indicators (KPI) usually uses qualitative variables. Statement (B) Balanced Scorecards within a company is often utilized to monitor daily operations whereas Dashboards are used to manage long-term goals and strategies. Statement (C) Critical Success Factors (CSF) illustrate bottom-up details of an organization whereas Key Performance Indicators (KPI) are usually used for a top-down view of an organization. Statement (D) Balanced Scorecards are often updated continuously whereas Dashboards are usually updated periodically.

Question 13. Use of graphs in Descriptive Analytics can be helpful but also misleading. A few of the common and useful graphs are discussed here. How many statements are correct? 0 1 2 3 4 Statement (A) A line plot, dot plot, and time series plot can show the character of data with aggregation. Statement (B) Aggregated data can be presented in a histogram for quantitative data, bar chart for qualitative data, stem-and-leaf as a histogram using data values, and box-and-whiskers plot to illustrate the primary measures of a set of data. Statement (C) A spider chart or radar chart can display relationships between multiple data sets. Statement (D) A gauge chart can easily illustrate an interpretation of data measures.

Question 14. Interpretation and use of measures in Descriptive Analytics should be used appropriately. Some of the more common descriptive measures are included here. How many statements are completely correct? 0 1 2 3 4 Statement (A) Mean, median, and mode are measures of central tendency. Mean is commonly used to indicate an average value over time. Median is less sensitive to outliers than the Mean. Mode is a term that occur randomly throughout the range of values. Statement (B) Range, variance, standard deviation, and mean absolute deviation are measures of skewness. Range indicates the distance between the extreme values of a set of values. Variance represents a sum of squared error (SSE) between each value and the mean. Standard deviation is the square root of variance and represents a measure of the sum of squared error (SSE) with same units as the mean. Mean absolute deviation is a measure usually easier to calculate and less sensitive to outliers. Statement (C) Skewness is a measure of the 'tailedness' of frequency. Positive or right skewness represents higher frequency of large values. Negative or left skewness represents a higher frequency of smaller or negative values. Statement (D) Kurtosis is a measure of the asymmetry of frequency. A kurtosis measure of 3 is called mesokurtic, considered a bases of measurement, and represents the kurtosis of the Normal distribution. A kurtosis greater than 3 is called leptokurtic, has a positive kurtosis, and indicates thicker tails. A kurtosis less than 3 is called platykurtic, has a negative kurtosis, and indicates thinner tails.