Title: Data-Driven-Decision-Making Reliable Exam Simulator, Data-Driven-Decision-Making [Print This Page] Author: willbla467 Time: yesterday 18:52 Title: Data-Driven-Decision-Making Reliable Exam Simulator, Data-Driven-Decision-Making It is indeed not easy to make a decision. Data-Driven-Decision-Making study engine is willing to give you a free trial. If you have some knowledge of our Data-Driven-Decision-Making training materials, but are not sure whether it is suitable for you, you can email us to apply for a free trial version. You know, we have provided three versions of Data-Driven-Decision-Making practice quiz: the PDF, Software and APP online. Accordingly, we have three free trial versions as well.
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Amusement Park W is in California. Amusement Park X is in Texas. A survey asks 1,000 people living in California if they prefer Amusement Park W or X.
Which problem exists with this survey?
A. Information bias
B. Measurement bias
C. Random error
D. Systematic error
Answer: D
Explanation:
The primary problem with this survey issystematic error, which occurs when the data collection process consistently favors certain outcomes due to flawed design. In data-driven decision making, systematic error arises when a sampling method introduces bias that skews results in a predictable direction.
In this scenario, surveying only people living in California creates a location-based bias. Respondents are far more likely to prefer Amusement Park W because it is geographically closer, more familiar, and more accessible than Amusement Park X in Texas. This bias does not occur randomly; instead, it systematically influences responses toward one option, making the results unreliable for comparing overall preferences between the two parks.
Random error would involve unpredictable variation, which is not the issue here. Measurement bias relates to how questions are asked or measured, and information bias concerns inaccurate or misleading data reporting.
The core issue is thenon-representative sample, which violates the principle of unbiased data collection.
Data-driven decision making emphasizes that valid conclusions require representative samples. Because the survey design inherently favors one outcome, the results cannot be generalized, makingsystematic errorthe correct answer.
NEW QUESTION # 47
What is an appropriate management use of statistics?
A. Implementing changes based on customer survey response rate
B. Understanding the demographics of customers
C. Ordering product for a region based on one store
D. Justifying organizational decisions after they have been implemented
Answer: B
Explanation:
An appropriate management use of statistics is **understanding the demographics of customers**, which supports informed, proactive decision-making. Data-driven decision making emphasizes using statistical analysis to explore patterns, characteristics, and trends that help organizations better understand their customers and markets.
Analyzing customer demographics such as age, income, location, and preferences allows managers to segment markets, tailor products, improve services, and allocate resources effectively. This use of statistics is descriptive and diagnostic in nature and directly supports strategic planning.
Ordering products for an entire region based on data from a single store is inappropriate due to lack of representativeness. Justifying decisions after implementation reflects misuse of statistics, as analytics should inform decisions beforehand, not rationalize them after the fact. Implementing changes solely based on survey response rate ignores the content and validity of responses.
Ethical data-driven decision making requires that statistics be used responsibly, transparently, and with appropriate context. Therefore, the correct answer is **A**, as understanding customer demographics represents a proper and effective use of statistics by management.
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NEW QUESTION # 48
A car dealership sells both new and used cars. The number of new cars sold on a given day ranges from 5 to
30 while the number of used cars sold ranges from 5 to 40. The number of used cars sold is mutually exclusive to the number of new cars sold.
Which statistic would be used to compare the number of new and used car sales on any given day?
A. F-statistic
B. R-squared
C. Chi-square
D. Z-score
Answer: C
Explanation:
Thechi-square statisticis used to compare frequencies of categorical, mutually exclusive outcomes. In data- driven decision making, it is appropriate for analyzing differences between observed counts.
New and used car sales represent mutually exclusive categories, making chi-square the correct choice.
Therefore, the correct answer isB.
NEW QUESTION # 49
A hospital is restructuring its business and administrative functions.
Which component of service delivery could be analyzed with a data analytics approach to help determine whether the hospital is adequately staffed for each shift?
A. Staff education levels
B. Patient-to-staff ratios
C. Staff productivity levels
D. Patient satisfaction levels
Answer: B
Explanation:
Patient-to-staff ratiosare a critical analytic measure for determining whether a hospital is adequately staffed for each shift. In data-driven decision making, staffing adequacy is best assessed by examining workload demand relative to available personnel.
Patient-to-staff ratios directly reflect how many patients each staff member is responsible for during a given shift. High ratios may indicate understaffing, increased risk of burnout, and reduced quality of care, while lower ratios suggest more manageable workloads and better patient outcomes.
Staff productivity levels measure efficiency but do not directly capture demand. Education levels reflect qualifications rather than staffing sufficiency. Patient satisfaction is an outcome metric and may be influenced by many factors beyond staffing levels.
By analyzing patient-to-staff ratios across shifts, hospital administrators can identify imbalances, allocate resources more effectively, and improve operational efficiency. Therefore, the correct answer isB.
NEW QUESTION # 50
Which analytic used in healthcare is calculated as a proportion of new cases compared to person-time units?
A. Prevalence
B. Morbidity rate
C. Incidence rate
D. Cumulative incidence
Answer: C
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 # 51
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