WGU C207 Data Driven Decision Making

WGU C207 Data Driven Decision Making Module 5 Exam (Answered) Graded A+ Results-based management does NOT need which of the following? a Statistically complex indicators b Constant monitoring c Collaboration between all participants d A common goal among everyone involved a Statistically complex indicators Results-based management uses simple indicators in order to be more flexible to the constant changes of running a business. Which one of the following is NOT an example of big data...

WGU C207 Data Driven Decision Making Module 6 Exam (Answered) Graded A+ Performance measures are used to _______ the efficiency of an individual or group by using _________ and analytics. evaluate, data collection What does KPI stand for? Key Performance Indicator Which of the following could be an appropriate key performance indicator (KPI)? consumer return rate Which of the following is an advantage of key performance indicators (KPIs)? KPIs can be used as a tool across an entire organ...

WGU C207 Data Driven Decision Making Module 4 Exam (Answered) Graded A+ A SIPOC diagram helps you manage quality in which of the following ways? a It helps you understand how process elements fit together. b It ensures you focus on the internal work you and your team do. c It ensures that "what gets measured gets done." d It emphasizes how stakeholders perceive quality. a It helps you understand how process elements fit together. A SIPOC diagram ensures that you take a broad view ...

WGU C207 Data Driven Decision Making Module 3 Exam (Answered) The relationship between several independent variables and one dependent variable is shown using __________. a logistic regression b simple linear regression c multiple linear regression d nonlinear regression c multiple linear regression Company A sells its 12,000th unit of the year. With that sale, the company's revenue and cost curves meet. What is this point called? a revenue point b crossover point c cost point d ...

WGU C207 Data Driven Decision Making Module 2 Exam (Answered) Which of the following is NOT an application of statistics in business? a Determine the internet advertiser that will reach the most people from extensive page view data. b Determine a target market based on information on household incomes throughout the country. c Predict trends in certain investments of big companies from previous results of Fortune 100 companies. d Forecast likelihood of board of director decisions from ...

WGU C207 Data Driven Decision Making Module 1 Exam (Answered) Quantitative analysis is another name for what? statistics If a dataset is presented on a scale of hours per week, which measurement scale is used? ratio The use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and add value is called ________. Analytics Analytics makes use of all these things to drive decision-making and add value. First, second, t...

WGU C207 Data Driven Decision Making Exam Prep Questions And Answers Graded A+ A city government is trying to determine the national origins of its recent immigrant population. If a survey of the immigrant population is conducted in English what type of error might be present in the data? Omission Error An Educator develops a new standardized test to measure math skills of ninth graders. She has students in her home state of Ohio take the test. If the test is to be used on a national level,...

WGU C207 Data-Driven Decision Making Exam Guide, Answered (Verified Solution) Define analytics Turning information into knowledge and developing fact based strategies to gain a competitive edge. Descriptive/Diagnostic analytics Encompasses the set of techniques that describes what has happened in the past. Predictive analytics Consists of techniques that use models constructed from past data to predict the future or ascertain the impact of one variable on another. Prescriptive analytics ...

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 populati...