Authentic WGU Certification Exam Data-Driven-Decision-Making Questions Answers

Sample size is critical for ensuring **statistical significance** because it determines whether results can be confidently generalized to a larger population. In data-driven decision making, larger and appropriately selected samples reduce sampling error and increase the reliability of statistical estimates.

When sample sizes are too small, observed effects may be due to random variation rather than true underlying patterns. Larger samples provide more precise estimates of population parameters and increase the power of hypothesis tests, making it easier to detect meaningful differences or relationships.

While increasing sample size does not eliminate researcher bias, prevent hypothesis misinterpretation, or remove the need for further analysis, it strengthens the validity of conclusions. Statistical significance depends on sample size, effect size, and variability, all of which influence confidence in results.

Therefore, the correct answer is **A**, as adequate sample sizes allow accurate conclusions to be confidently applied to larger populations.

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In ablind study, the purpose is to reduce bias that may influence responses or outcomes. In data-driven decision making, a blind study is designed so thatsubjects and response gatherers do not knowwhich treatment is administered, while the researchers do retain this information to correctly manage and analyze the experiment.

In this scenario, dog owners and response gatherers should not know whether the dogs received the medication or a placebo, as this knowledge could influence reporting of outcomes or observations. However, researchers must know which treatment each dog receives to ensure proper administration, monitoring, and statistical analysis.

If neither researchers nor participants knew the assignments, the study would be classified as adouble-blind study, which is not stated here. Allowing owners or response gatherers to know treatment assignments would introduce bias and undermine experimental validity.

Therefore, in a blind study,only the researchersshould know which dogs received the medication or placebo, making optionCthe correct answer.

Quality controlinvolves monitoring, measuring, and analyzing production output to identify defects and variations. In data-driven decision making, quality control focuses on detecting problems after or during production rather than preventing them in advance.

In this scenario, the manager reviews defect data and identifies a pattern indicating more errors during the night shift. This analysis is a classic quality control activity, as it involves examining performance data to detect issues in the production process.

Quality assurance focuses on process design and prevention, while service and underlying activities are not standard quality management classifications. Therefore, the correct answer isD, quality control activity.