WGU C207 EXAM QUESTIONS WELL ANSWERED LATEST UPDATE 2026

WGU C207 EXAM QUESTIONS WELL ANSWERED LATEST UPDATE 2026 Big Data - Answers Both structured and unstructured data in very large volumes that are difficult to process using traditional tools Structured Data - Answers Data that is organized and easily searchable, such as multiple-choice survey responses Unstructured Data - Answers Data that is not easily organized, such as medical notes or text responses Data Mining - Answers Process of discovering patterns and relationships in large datasets Big Data Warehouse - Answers A centralized system used to store and manage Big Data Nominal Data - Answers Data with no numbers and no order (e.g., gender, department) Ordinal Data - Answers Data with order or ranking but no equal intervals (e.g., job levels) Interval Data - Answers Numerical data with order but no true zero (e.g., temperature in Fahrenheit) Ratio Data - Answers Numerical data with a true zero indicating absence (e.g., price, years employed) NOIR - Answers Nominal, Ordinal, Interval, Ratio Reliable Measurement - Answers A measurement that is consistent and repeatable Valid Measurement - Answers A measurement that accurately measures what it is intended to measure Systematic Error - Answers Error built into the process that must be fixed to go away Random Error - Answers Error that occurs unpredictably and usually balances out over time Data Quality Issues - Answers Missing values, impossible numbers, or out-of-range data Observational Study - Answers A study with no treatment and no control group Experimental Study - Answers A study that includes a treatment and a control group Blinding - Answers A technique used to reduce bias by limiting who knows the treatment assignment Faulty Operationalization - Answers Failure to clearly define variables or how they are measured Measurement Bias - Answers When the measurement does not accurately reflect what is being studied Response Bias - Answers When respondents answer differently due to how or by whom a question is asked Information Bias - Answers Misuse or misunderstanding of collected data Association - Answers A relationship between variables without implying cause Causation - Answers One variable directly causes a change in another Association vs Causation - Answers Association does not imply causation Descriptive Analytics - Answers Analytics that describe what happened in the past Predictive Analytics - Answers Analytics that use past data to forecast future outcomes Prescriptive Analytics - Answers Analytics that recommend actions to optimize future results Big Data Example - Answers FBI filtering suspects using multiple databases Not Big Data Example - Answers Local shop sending Christmas cards to customers Interval vs Ratio Difference - Answers Interval has no true zero; Ratio has a meaningful zero Reliable but Not Valid - Answers Consistent results that do not measure the correct concept Valid but Not Reliable - Answers Accurate measurement that is not consistent Probability as a Managerial Tool - Answers Used by managers to evaluate risk versus success when making decisions Risk - Answers Possibility of loss or negative outcome Success - Answers Positive or desired outcome of a decision Probability - Answers Likelihood that an event will occur Affordable Risk - Answers Risk level that an organization can financially tolerate Profitable Outcome - Answers A result that generates financial gain Beneficial Outcome - Answers A result that creates value beyond profit Intersection (AND) - Answers Probability that two events occur together; calculated by multiplying probabilities Union (OR) - Answers Probability that at least one of two events occurs; calculated by adding probabilities minus the intersection p(A and B) Formula - Answers p(A) × p(B) p(A or B) Formula - Answers p(A) + p(B) − p(A and B) Conditional Probability - Answers Probability of an event occurring given that another event has already occurred p(B given A) - Answers p(A and B) ÷ p(A) Combination - Answers A selection of items where order does NOT matter Combination Formula - Answers nCr = n! ÷ [r!(n−r)!] Mean - Answers Average of a dataset; sum of values divided by number of values Median - Answers Middle value of an ordered dataset Mode - Answers Most frequently occurring value in a dataset Purpose of the Median - Answers Shows the midpoint where half the data is above and half below Purpose of the Mode - Answers Shows the most typical or common value Mean Limitation - Answers The mean cannot tell the full story by itself Variance - Answers Average of the squared differences from the mean How to Calculate Variance - Answers Subtract mean, square differences, sum, divide by (n−1) Standard Deviation - Answers Measure of data spread; square root of variance Purpose of Standard Deviation - Answers Shows how far values are from the mean Empirical Rule - Answers Describes data distribution within standard deviations of the mean 68-95-99.7 Rule - Answers 68% within 1 SD, 95% within 2 SD, 99.7% within 3 SD Z-Score - Answers Number of standard deviations a value is from the mean Z-Score Formula - Answers (value − mean) ÷ standard deviation Negative Z-Score - Answers Value is below the mean Positive Z-Score - Answers Value is above the mean Range - Answers Difference between the maximum and minimum values Interquartile Range (IQR) - Answers Q3 − Q1 Q1 (First Quartile) - Answers Median of the lower half of the dataset Q3 (Third Quartile) - Answers Median of the upper half of the dataset Box Plot - Answers Graphical display showing median, quartiles, and spread of data Purpose of Box Plot - Answers Visualizes distribution, spread, and outliers PDCA Cycle - Answers Continuous improvement cycle: Plan, Do, Check, Act Plan (PDCA) - Answers Identify a problem and remember and plan an improvement Do (PDCA) - Answers Implement the change or test solution Check (PDCA) - Answers Measure results and evaluate effectiveness