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WGU Data Driven Decision Making - C207 Exam Questions with Correct Answers, Graded A+

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WGU Data Driven Decision Making - C207 Exam Questions with Correct Answers, Graded A+ Activities (RBM stage) ✔✔ second step involves the process that converts inputs to outputs (actions necessa... ry 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 [Show More]

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