C207 WGU Data Driven Decision Making| 135 questions| with complete solutions

Descriptive CORRECT ANSWERS: Past data only; Not predicting or optimizing Predictive CORRECT ANSWERS: Past to predict the future; Predicting, no optimizing Prescriptive CORRECT ANSWERS: Past to predict the future and optimizing Omission CORRECT ANSWERS: Missing information Out of Range CORRECT ANSWERS: Doesn't match the data or not true Reliable CORRECT ANSWERS: Constant and repeatable. A measure of the instrument Valid CORRECT ANSWERS: Measures what is intended to be measured Measurement bias CORRECT ANSWERS: Includes representative sample, random, large enough sample Information bias CORRECT ANSWERS: Ignore the purpose of the information collection; not truthful answers Big Data CORRECT ANSWERS: Both structure and unstructured; to large to process using traditional database and software techniques Data mining CORRECT ANSWERS: Process of discovering pattern in large data sets Why collect big data? CORRECT ANSWERS: Used to encourage buying behavior Analytics CORRECT ANSWERS: the extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and and add value Variable CORRECT ANSWERS: An expression that can be assigned to data Continuous data CORRECT ANSWERS: Data that can lay along any point in a range of data (age 22.6 old) Discrete data CORRECT ANSWERS: Whole values only and clear boundaries Nominal data CORRECT ANSWERS: Categorical data used to label subjects in a study; discrete (male female)