WGU C207 Data-Driven Decision Making Exam 2026 – 100+ Solved Questions | Z-Scores, Regression, Bias, PDCA, Quality Tools, RBM

This comprehensive and expertly verified resource contains over 100 real exam questions and accurate answers for the 2026 WGU C207 Data-Driven Decision Making course. Designed specifically for students at Western Governors University, it equips learners with the statistical reasoning and data literacy required to excel in data-informed decision-making across business, healthcare, and government sectors. The material covers the full range of C207 objectives, including the Davenport-Kim model, research validity and reliability, bias types, descriptive and inferential analytics, Big Data concepts, hypothesis testing, and regression analysis. The exam questions are structured in a clear Q&A format, making this a practical and effective tool for exam review, final assessments, and practical application. Major topics and tools covered include: Decision-making frameworks: Davenport-Kim model, PDCA, Lean, Six Sigma, SIPOC, Balanced Scorecard Statistical foundations: Mean, median, mode, standard deviation, z-scores, bell curve, data distribution Measurement & data quality: Validity, reliability, random/systematic error, measurement bias, response bias Analytical methods: Descriptive, predictive, and prescriptive analytics; t-tests, ANOVA, Chi-square, regression Probability & distribution: Sample size, random sampling, conditional probability, Bayes Theorem, combinations Data visualization & correlation: Histograms, scatter diagrams, correlation coefficients, R-squared analysis Quality management tools: Control charts, flowcharts, cause-and-effect diagrams, Pareto charts, run charts Performance evaluation: KPIs, dashboards, cost-benefit analysis, Results-Based Management (RBM), IRT This document is ideal for WGU students preparing for the C207 Objective Assessment (OA) and anyone needing practical knowledge of data-informed problem-solving and quality assessment. Best suited for: WGU students enrolled in C207 – Data-Driven Decision Making Business, healthcare, public administration, and data analytics majors Professionals preparing for roles involving quantitative decision-making Learners seeking structured preparation for statistics and analytics exams Keywords: WGU C207, data-driven decision-making, Davenport-Kim model, descriptive analytics, predictive analytics, prescriptive analytics, z-score, hypothesis testing, PDCA cycle, quality tools, Big Data, validity, reliability, regression analysis, correlation coefficient, R-squared, KPI dashboard, RBM, ISO, Lean, Six Sigma, IRT, statistical bias, ANOVA, t-test, Chi-square, cost-benefit analysis