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| Section | Objectives |
|---|---|
| Probability and Statistical Inference | - Probability concepts and distributions - Sampling methods and sampling error |
| Hypothesis Testing | - t-tests, chi-square tests, and significance testing - Null and alternative hypotheses |
| Regression and Correlation Analysis | - Linear regression modeling - Interpreting correlation and causation |
| Data Fundamentals and Business Analytics | - Descriptive statistics (mean, median, variance, standard deviation) - Data types and data collection methods |
| Decision Making Models | - Decision trees and expected value analysis - Risk and uncertainty in decision-making |
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NEW QUESTION # 90
According to quality management principles, which two continuous improvement commitments should every individual in an organization make?
Choose 2 answers.
Answer: C,D
Explanation:
Quality management emphasizescontinuous improvement at the individual levelas a foundation for organizational excellence. In data-driven decision making, this involves a commitment by every individual to enhance both theirskillsandeffectivenessover time.
Increasing one's skills ensures that employees remain competent, adaptable, and capable of using analytical tools and data effectively. Improving effectiveness focuses on applying those skills efficiently to produce better outcomes, reduce errors, and add value to organizational processes.
Independent work processes and expert-level objectives are not universal expectations for all employees and may not align with collaborative quality frameworks. Continuous improvement is incremental and inclusive, encouraging consistent growth rather than elite specialization.
Therefore, the correct answers areA and B.
NEW QUESTION # 91
Management uses a net promoter score.
What can management determine using this performance measurement?
Answer: D
Explanation:
Thenet promoter score (NPS)measurescustomer loyaltyby assessing the likelihood that customers will recommend a company's products or services to others. In data-driven decision making, NPS is a widely used indicator of customer satisfaction and long-term growth potential.
Customers are typically asked how likely they are to recommend the organization on a numerical scale.
Responses are categorized into promoters, passives, and detractors, and the score is calculated by subtracting the percentage of detractors from the percentage of promoters.
NPS does not directly measure financial outcomes, employee performance, or quality assurance metrics.
Instead, it serves as a customer-focused indicator that reflects overall perception and loyalty.
Therefore, the correct answer isB.
NEW QUESTION # 92
A major hospital system wants to improve its level of patient satisfaction. Management has recently asked patients to complete a survey as part of the discharge process. From this survey, a net promoter score is derived and tracked over time. What does a net promoter score reveal?
Answer: C
Explanation:
A net promoter score reveals the strength of an organization's customer relations by measuring how likely customers are to recommend the organization to others. In a hospital setting, patients are the relevant customer group, and their willingness to recommend the hospital reflects satisfaction, trust, and overall experience. Because the score is tracked over time, management can use it as an indicator of whether customer relationships are improving or declining. A higher net promoter score generally suggests stronger loyalty and more positive perceptions, while a lower score may indicate service or quality concerns. The score is not about how management feels about employees, nor is it used to track employee advancement. It may be influenced indirectly by marketing, but it does not primarily measure advertising campaign effectiveness. Its main purpose is to provide a clear signal about customer loyalty and relationship strength. Therefore, the correct answer is the strength of an organization's customer relations.
NEW QUESTION # 93
Which analytic used in healthcare is calculated as a proportion of new cases compared to person-time units?
Answer: B
Explanation:
Theincidence rateis a healthcare analytic calculated as the number ofnew casesof a condition divided by person-time units at risk. In data-driven decision making, this metric is essential for understanding how quickly new cases occur within a population over time.
Person-time accounts for both the number of individuals and the duration they are observed, making the incidence rate particularly useful when populations are dynamic or when observation periods vary. This distinguishes incidence rate from cumulative incidence, which measures new cases over a fixed population and time period without person-time adjustment.
Prevalence measures existing cases at a point in time, and morbidity is a broader term describing illness burden rather than a specific rate calculation.
Because the question explicitly referencesnew cases compared to person-time units, the correct answer isB, incidence rate.
NEW QUESTION # 94
When researchers are studying the effect of new drug treatments on patients, bias can be introduced by patients if they are aware of who receives the placebo.
Which type of research design eliminates this type of bias?
Answer: D
Explanation:
Ablind studyis specifically designed to eliminate bias that occurs when participants are aware of treatment assignments. In data-driven decision making and experimental research, patient awareness of receiving a placebo or treatment can influence reported symptoms, perceived effectiveness, and behavior, thereby biasing results.
In a blind study, participants do not know whether they are receiving the treatment or the placebo. This prevents expectations or beliefs from influencing outcomes and ensures that observed effects are attributable to the treatment itself rather than psychological or behavioral factors.
Observational studies and prospective cohort studies do not involve controlled assignment of treatments and therefore cannot eliminate this type of bias. Time series studies analyze data over time but do not address participant awareness of treatment allocation.
By preventing patients from knowing their treatment group, blind studies improve internal validity and support more accurate causal inference. Therefore, the correct answer isD, blind study.
NEW QUESTION # 95
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