FINALSELF ASSESSMENT EXAM 2026
Q1. A hospital wants to predict 30-day readmission risk using patient age,
prior admissions, and lab values. Which method is most appropriate?
• A) Decision tree
• B) Logistic regression
• C) Linear regression
• D) Time series
Correct Answer: B
Rationale: Logistic regression predicts a binary outcome (readmitted or not) from
multiple predictors. Linear regression is used for continuous outcomes, not binary
classification .
Q2. Which type of analytics answers "What should we do?"
• A) Descriptive analytics
• B) Diagnostic analytics
• C) Predictive analytics
• D) Prescriptive analytics
Correct Answer: D
Rationale: Prescriptive analytics recommends optimal courses of action using
optimization and simulation techniques. Descriptive tells what happened,
diagnostic explains why, and predictive forecasts what might happen .
,Q3. A manager looks at the previous quarter and determines the causes for a
sudden sales spike to gain a better understanding of the actions and outcomes.
Which type of analytics would the manager use?
• A) Descriptive analytics
• B) Diagnostic analytics
• C) Predictive analytics
• D) Prescriptive analytics
Correct Answer: B
Rationale: Diagnostic analytics seeks to understand the causes and reasons behind
past events. The manager is determining what caused the sales spike .
Q4. Amanda is measuring temperature and sees it is between 65 and 66
degrees Fahrenheit. She knows temperature is not ________ data, but
temperature is ________ data.
• A) Continuous, Discrete
• B) Ordinal, Nominal
• C) Discrete, Continuous
• D) Ratio, Interval
Correct Answer: C
Rationale: Discrete data can take only specific values (e.g., integers), while
continuous data can take any value within a range. Temperature measurements can
fall between integers, making it continuous data .
Q5. Which of the following is NOT a characteristic of Big Data?
• A) Volume
• B) Velocity
• C) Variety
, • D) Verifiability
Correct Answer: D
Rationale: The four V's of Big Data are Volume (amount of data), Velocity (speed
of data generation), Variety (different data types), and Veracity (data quality).
"Verifiability" is not a standard Big Data V .
Q6. Which Big Data V refers to inconsistency in data formats and
trustworthiness issues?
• A) Volume
• B) Velocity
• C) Variety
• D) Veracity
Correct Answer: D
Rationale: Veracity captures data quality, accuracy, and trustworthiness issues,
including inconsistencies in data formats. Volume refers to size, velocity to speed,
and variety to different data types .
Q7. Which type of data are Olympic medals of gold, silver, and bronze
examples of?
• A) Nominal data
• B) Ordinal data
• C) Interval data
• D) Ratio data
Correct Answer: B
Rationale: Ordinal data have a meaningful order (gold > silver > bronze) but the
intervals between ranks are not necessarily equal. This distinguishes ordinal from
interval and ratio data .
, Q8. The first stage of Davenport and Kim's Three-Stage Model of quantitative
decision making is to:
• A) Build a predictive model
• B) Collect data from multiple sources
• C) Frame the problem
• D) Deploy the model
Correct Answer: C
Rationale: The first stage is to clearly define and frame the problem before any
data collection or analysis. The stages are: 1) Frame the problem, 2) Solve the
problem, 3) Communicate results .
Q9. A researcher surveys 300 customers from a company with 50,000
customers. The 300 customers represent:
• A) The population
• B) The sample
• C) The parameter
• D) The statistic
Correct Answer: B
Rationale: A sample is a subset of a population used to make inferences about the
larger group. Here, 300 customers are sampled from the total population of
50,000 .
Q10. Which two statements describe how the dedication of leadership and a
focus on process enhance quality? (Choose 2)
• A) It ensures a systems approach
• B) It enhances customer loyalty
• C) It ensures clearly aligned goals