WGU C207 Data Driven Decision Making Terms (Complete Solutions)

WGU C207 Data Driven Decision Making Terms (Complete Solutions) Activities (RBM stage) second step involves the process that converts inputs to outputs (actions necessary to produces results - training, evaluating, developing) Alternative hypothesis The argument that either a sample is not equal to, greater than, or less than the hypothesized null sample Analysis of Variance (ANOVA) a technique used to determine if there is a sufficient evidence from sample data of three or more populations to conclude that the means of the population are not all equal Analytics The discovery, analysis, and communication of meaningful patterns in data. Autocorrelation A relationship between two variables that is inherently non-linear Balanced Scorecard An approach using multiple measures to evaluate performance, including financial measures, and the non-financial measures of customers, internal business processes, and learning and growth. Bar chart A graph that measures the distribution of data over discrete groups or categories. Benchmarks Standards or points of reference for an industry or sector that can be used for comparison and evaluation. Big Data very large amounts of data; an all-encompassing term for any collection of data sets so large and complex that it becomes difficult to process them using traditional data processing applications Blind Study A study performed where the participants are not told if they are in the treatment group or control group body mass index (BMI) A measure, based on a person's weight and height, that is used to classify people as underweight or overweight. Business process A sequence of logically related and time based work activities to provide a specific output for a customer. Central Limit Theorem A theorem that states that, the greater the sample, the closer the mean of the sample is to the entire population and the more the results will look like a normal distribution Cluster Analysis The process of arranging terms or values based on different variables into "natural" groups Cointegration