WGU C207 FINAL EXAM 2024-2025 DATA DRIVEN
DECISION MAKING LATEST FINAL EXAM WITH
200 REAL EXAM QUESTIONS AND CORRECT
ANSWERS (VERIFIED ANSWERS) A+GRADE
Cleaning and organizing data - ANSWER-Data Management
Are the following variable quantitative or qualitative? Personality type, social class, or communication style - ANSWER-Qualitative
Why do marketing teams use big data? - ANSWER-"Datamining" assists in targeting the best customers for new products or reaching existing customers for like products
A study used when you a conditions can't be controlled - ANSWER-Observational study
Frame the Problem, Solving the Problem and Communicating Results are part of which decision making model? - ANSWER-Davenport-Kim three-stage model
What are the three elements of an experimental study? - ANSWER-Unit, Treatment, Response
Accurately measures what it is intended to measure - ANSWER-Valid data
________ an experimental study prevents bias. - ANSWER-Blinding
Your F-stat is 0.26 and you F-critical is 1.96. Can you reject the null? - ANSWER- No. If your score (F-stat) is smaller than your cut score (F-critical), you do not pass the test. We can only Reject when we pass.
In which stage of the Davenport-Kim model is problem recognition? - ANSWER- Framing the problem
In which stage of the Davenport-Kim model is data collection? - ANSWER- Solving the problem 1 / 2
What is a key reason we study statistics? - ANSWER-To make informed decisions
Visually presenting the data assists in which stage of the Davenport-Kim model? - ANSWER-Communicating the results
When does research fail to produce reliable results? - ANSWER-Poor research validity
What are the two major issues surrounding research standards? - ANSWER-Best practices and ethics
In order to be a statistically valid sample, the sample must be: - ANSWER-The
appropriate size and random
Not selecting a random sample is what type of bias? - ANSWER-Measurement
Not selecting a right sized sample is what type of bias? - ANSWER-Measurement
Research best practices eliminate... - ANSWER-Bias
Outliers create this type of error - ANSWER-Out-of Range
Unpredictable error - ANSWER-Random Error - No correlation
Error may occur from missing data. (Example: Space not filled in) - ANSWER-
Omission Error - Distorted results
This error repeats itself - ANSWER-Systematic Error - Skewed results
Observation points that are distant from other observations. - ANSWER-Outliers
Note: Can be included or excluded in analysis (causes skewness)
Types of Bias: Bias that occurs from not selecting a random sample - ANSWER-
Measurement bias
Types of Bias: Bias introduced because respondents believe it will be beneficial if
selected. - ANSWER-Conscious bias (key word: benefit)
Consistent and repeatable data - ANSWER-Reliable
- / 2