1
ISYE 6501 - MIDTERM EXAM 1 LATEST
2026/2027 | 60 VERIFIED Q&A | DETAILED
RATIONALES | NGN-ALIGNED | PASS
GUARANTEED – A+ GRADED
SECTION I: INTRODUCTION TO ANALYTICS AND DATA - Questions 1-10
Q1: Analytics definition
The student is reviewing analytics. What is analytics?
A. The process of collecting data only
B. The systematic computational analysis of data to discover, interpret, and communicate
meaningful patterns
C. The process of storing data
D. The process of deleting data
Correct Answer: B
Rationale: Analytics is the systematic computational analysis of data to discover, interpret, and
communicate meaningful patterns. It involves data collection, cleaning, analysis, and interpretation
to support decision-making. [100% CORRECT]
Q2: Types of analytics
The student is reviewing types of analytics. Which type of analytics answers the question "What
happened?"
A. Descriptive analytics
B. Predictive analytics
C. Prescriptive analytics
D. Diagnostic analytics
Correct Answer: A
Rationale: Descriptive analytics summarizes historical data to answer "What happened?" Predictive
analytics forecasts future outcomes. Prescriptive analytics recommends actions. Diagnostic analytics
explains why something happened. [100% CORRECT]
Q3: Predictive analytics
The student is reviewing predictive analytics. What is the primary goal of predictive analytics?
A. Describe past events
B. Forecast future outcomes
C. Recommend actions
D. Explain causes
,2
Correct Answer: B
Rationale: Predictive analytics uses historical data and statistical models to forecast future outcomes
or identify trends. It answers "What will happen?" [100% CORRECT]
Q4: Prescriptive analytics
The student is reviewing prescriptive analytics. What is the primary goal of prescriptive analytics?
A. Describe past events
B. Forecast future outcomes
C. Recommend actions to achieve desired outcomes
D. Explain causes
Correct Answer: C
Rationale: Prescriptive analytics recommends actions to achieve desired outcomes by using
optimization and simulation. It answers "What should we do?" [100% CORRECT]
Q5: Data types
The student is reviewing data types. Which of the following is a quantitative variable?
A. Gender
B. Eye color
C. Height
D. Marital status
Correct Answer: C
Rationale: Height is a quantitative (numerical) variable that can be measured. Gender, eye color,
and marital status are qualitative (categorical) variables. [100% CORRECT]
Q6: Discrete vs continuous
The student is reviewing variable types. Which is an example of a discrete variable?
A. Weight
B. Number of children
C. Temperature
D. Time
Correct Answer: B
Rationale: A discrete variable takes on countable values (e.g., number of children). Continuous
variables can take any value within a range (e.g., weight, temperature, time). [100% CORRECT]
Q7: Data cleaning
The student is reviewing data cleaning. What is the purpose of data cleaning?
A. To increase data volume
B. To identify and correct errors, inconsistencies, and missing values
C. To delete all data
D. To visualize data
, 3
Correct Answer: B
Rationale: Data cleaning involves identifying and correcting errors, inconsistencies, missing values,
and outliers to improve data quality for analysis. [100% CORRECT]
Q8: Missing data
The student is reviewing missing data. Which method is commonly used to handle missing data?
A. Deletion
B. Imputation
C. Both A and B
D. None of the above
Correct Answer: C
Rationale: Missing data can be handled by deletion (removing rows or columns) or imputation
(replacing missing values with estimated values such as mean, median, or regression-based
estimates). [100% CORRECT]
Q9: Outliers
The student is reviewing outliers. What is an outlier?
A. A data point that is typical
B. A data point that is unusually distant from other observations
C. A missing value
D. A categorical variable
Correct Answer: B
Rationale: An outlier is an observation that lies an abnormal distance from other values in a random
sample. Outliers can affect statistical analyses and may need to be investigated or treated. [100%
CORRECT]
Q10: Data visualization
The student is reviewing data visualization. Which chart is best for showing the distribution of a
single continuous variable?
A. Bar chart
B. Histogram
C. Pie chart
D. Scatter plot
Correct Answer: B
Rationale: A histogram is used to show the distribution of a single continuous variable by dividing
the data into bins and plotting frequencies. Bar charts are for categorical data. Scatter plots show
relationships between two variables. [100% CORRECT]
SECTION II: STATISTICAL FOUNDATIONS - Questions 11-20
ISYE 6501 - MIDTERM EXAM 1 LATEST
2026/2027 | 60 VERIFIED Q&A | DETAILED
RATIONALES | NGN-ALIGNED | PASS
GUARANTEED – A+ GRADED
SECTION I: INTRODUCTION TO ANALYTICS AND DATA - Questions 1-10
Q1: Analytics definition
The student is reviewing analytics. What is analytics?
A. The process of collecting data only
B. The systematic computational analysis of data to discover, interpret, and communicate
meaningful patterns
C. The process of storing data
D. The process of deleting data
Correct Answer: B
Rationale: Analytics is the systematic computational analysis of data to discover, interpret, and
communicate meaningful patterns. It involves data collection, cleaning, analysis, and interpretation
to support decision-making. [100% CORRECT]
Q2: Types of analytics
The student is reviewing types of analytics. Which type of analytics answers the question "What
happened?"
A. Descriptive analytics
B. Predictive analytics
C. Prescriptive analytics
D. Diagnostic analytics
Correct Answer: A
Rationale: Descriptive analytics summarizes historical data to answer "What happened?" Predictive
analytics forecasts future outcomes. Prescriptive analytics recommends actions. Diagnostic analytics
explains why something happened. [100% CORRECT]
Q3: Predictive analytics
The student is reviewing predictive analytics. What is the primary goal of predictive analytics?
A. Describe past events
B. Forecast future outcomes
C. Recommend actions
D. Explain causes
,2
Correct Answer: B
Rationale: Predictive analytics uses historical data and statistical models to forecast future outcomes
or identify trends. It answers "What will happen?" [100% CORRECT]
Q4: Prescriptive analytics
The student is reviewing prescriptive analytics. What is the primary goal of prescriptive analytics?
A. Describe past events
B. Forecast future outcomes
C. Recommend actions to achieve desired outcomes
D. Explain causes
Correct Answer: C
Rationale: Prescriptive analytics recommends actions to achieve desired outcomes by using
optimization and simulation. It answers "What should we do?" [100% CORRECT]
Q5: Data types
The student is reviewing data types. Which of the following is a quantitative variable?
A. Gender
B. Eye color
C. Height
D. Marital status
Correct Answer: C
Rationale: Height is a quantitative (numerical) variable that can be measured. Gender, eye color,
and marital status are qualitative (categorical) variables. [100% CORRECT]
Q6: Discrete vs continuous
The student is reviewing variable types. Which is an example of a discrete variable?
A. Weight
B. Number of children
C. Temperature
D. Time
Correct Answer: B
Rationale: A discrete variable takes on countable values (e.g., number of children). Continuous
variables can take any value within a range (e.g., weight, temperature, time). [100% CORRECT]
Q7: Data cleaning
The student is reviewing data cleaning. What is the purpose of data cleaning?
A. To increase data volume
B. To identify and correct errors, inconsistencies, and missing values
C. To delete all data
D. To visualize data
, 3
Correct Answer: B
Rationale: Data cleaning involves identifying and correcting errors, inconsistencies, missing values,
and outliers to improve data quality for analysis. [100% CORRECT]
Q8: Missing data
The student is reviewing missing data. Which method is commonly used to handle missing data?
A. Deletion
B. Imputation
C. Both A and B
D. None of the above
Correct Answer: C
Rationale: Missing data can be handled by deletion (removing rows or columns) or imputation
(replacing missing values with estimated values such as mean, median, or regression-based
estimates). [100% CORRECT]
Q9: Outliers
The student is reviewing outliers. What is an outlier?
A. A data point that is typical
B. A data point that is unusually distant from other observations
C. A missing value
D. A categorical variable
Correct Answer: B
Rationale: An outlier is an observation that lies an abnormal distance from other values in a random
sample. Outliers can affect statistical analyses and may need to be investigated or treated. [100%
CORRECT]
Q10: Data visualization
The student is reviewing data visualization. Which chart is best for showing the distribution of a
single continuous variable?
A. Bar chart
B. Histogram
C. Pie chart
D. Scatter plot
Correct Answer: B
Rationale: A histogram is used to show the distribution of a single continuous variable by dividing
the data into bins and plotting frequencies. Bar charts are for categorical data. Scatter plots show
relationships between two variables. [100% CORRECT]
SECTION II: STATISTICAL FOUNDATIONS - Questions 11-20
