Isye 6501 Final exam 2026 Questions and
Answers 100% Pass Guaranteed
1-norm - Correct answer-Similar to rectilinear distance; measures the straight-line
length of a vector from the origin. If z=(z1,z2,...,zm) is a vector in an m-
dimensional space, then it's 1-norm is square root(|𝑧1|+|𝑧2|+⋯+|𝑧𝑚| =
|𝑧1|+|𝑧2|+⋯+|𝑧| = Σm over i=1 |𝑧𝑖|
A/B Testing - Correct answer-testing two alternatives to see which one performs
better
2-norm - Correct answer-Similar to Euclidian distance; measures the straight-line
length of a vector from the origin. If z=(z1,z2,...,zm) is a vector in an 𝑚-
dimensional space, then its 2-norm is the same as 1-norm but everything is
squared= square root(Σm over i=1 (|𝑧𝑖|)^2)
Accuracy - Correct answer-Fraction of data points correctly classified by a model;
equal to TP+TN / TP+FP+TN+FN
Action - Correct answer-In ARENA, something that is done to an entity.
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,Additive Seasonality - Correct answer-Seasonal effect that is added to a baseline
value (for example, "the temperature in June is 10 degrees above the annual
baseline").
Adjusted R-squared - Correct answer-Variant of R2 that encourages simpler
models by penalizing the use of too many variables.
AIC - Correct answer-Akaike information criterion- Model selection technique that
trades off between model fit and model complexity. When comparing models, the
model with lower AIC is preferred. Generally penalizes complexity less than BIC.
Algorithm - Correct answer-Step-by-step procedure designed to carry out a task.
Analysis of Variance/ANOVA - Correct answer-Statistical method for dividing the
variation in observations among different sources.
Approximate dynamic program - Correct answer-Dynamic programming model
where the value functions are approximated.
Arc - Correct answer-Connection between two nodes/vertices in a network. In a
network model, there is a variable for each arc, equal to the amount of flow on the
arc, and (optionally) a capacity constraint on the arc's flow. Also called an edge.
Area under the curve (AUC) - Correct answer-Area under the ROC curve; an
estimate of the classification model's accuracy. Also called concordance index.
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,ARIMA - Correct answer-Autoregressive integrated moving average.
Arrival Rate - Correct answer-Expected number of arrivals of people, things, etc.
per unit time -- for example, the expected number of truck deliveries per hour to a
warehouse.
Assignment Problem - Correct answer-Network optimization model with two sets
of nodes, that finds the best way to assign each node in one set to each node in the
other set.
Attribute - Correct answer-A characteristic or measurement - for example, a
person's height or the color of a car. Generally interchangeable with "feature", and
often with "covariate" or "predictor". In the standard tabular format, a column of
data.
Autoregression - Correct answer-Regression technique using past values of time
series data as predictors of future values.
Autoregressive integrated moving average (ARIMA) - Correct answer-Time series
model that uses differences between observations when data is nonstationary. Also
called Box-Jenkins.
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, Backward elimination - Correct answer-Variable selection process that starts with
all variables and then iteratively removes the least-immediately-relevant variables
from the model.
Balanced Design - Correct answer-Set of combinations of factor values across
multiple factors, that has the same number of runs for all combinations of levels of
one or more factors.
Balking - Correct answer-An entity arrives to the queue, sees the size of the line (or
some other attribute), and decides to leave the system.
Bayes' theorem/Bayes' rule - Correct answer-Fundamental rule of conditional
probability: 𝑃(𝐴|𝐵)=𝑃(𝐵|𝐴)*𝑃(𝐴) / 𝑃(𝐵)
Bayesian Information criterion (BIC) - Correct answer-Model selection technique
that trades off model fit and model complexity. When comparing models, the
model with lower BIC is preferred. Generally penalizes complexity more than AIC.
Bayesian Regression - Correct answer-Regression model that incorporates
estimates of how coefficients and error are distributed.
Bellman's Equation - Correct answer-Equation used in dynamic programming that
ensures optimality of a solution.
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Answers 100% Pass Guaranteed
1-norm - Correct answer-Similar to rectilinear distance; measures the straight-line
length of a vector from the origin. If z=(z1,z2,...,zm) is a vector in an m-
dimensional space, then it's 1-norm is square root(|𝑧1|+|𝑧2|+⋯+|𝑧𝑚| =
|𝑧1|+|𝑧2|+⋯+|𝑧| = Σm over i=1 |𝑧𝑖|
A/B Testing - Correct answer-testing two alternatives to see which one performs
better
2-norm - Correct answer-Similar to Euclidian distance; measures the straight-line
length of a vector from the origin. If z=(z1,z2,...,zm) is a vector in an 𝑚-
dimensional space, then its 2-norm is the same as 1-norm but everything is
squared= square root(Σm over i=1 (|𝑧𝑖|)^2)
Accuracy - Correct answer-Fraction of data points correctly classified by a model;
equal to TP+TN / TP+FP+TN+FN
Action - Correct answer-In ARENA, something that is done to an entity.
©COPYRIGHT 2025, ALL RIGHTS RESERVE 1
,Additive Seasonality - Correct answer-Seasonal effect that is added to a baseline
value (for example, "the temperature in June is 10 degrees above the annual
baseline").
Adjusted R-squared - Correct answer-Variant of R2 that encourages simpler
models by penalizing the use of too many variables.
AIC - Correct answer-Akaike information criterion- Model selection technique that
trades off between model fit and model complexity. When comparing models, the
model with lower AIC is preferred. Generally penalizes complexity less than BIC.
Algorithm - Correct answer-Step-by-step procedure designed to carry out a task.
Analysis of Variance/ANOVA - Correct answer-Statistical method for dividing the
variation in observations among different sources.
Approximate dynamic program - Correct answer-Dynamic programming model
where the value functions are approximated.
Arc - Correct answer-Connection between two nodes/vertices in a network. In a
network model, there is a variable for each arc, equal to the amount of flow on the
arc, and (optionally) a capacity constraint on the arc's flow. Also called an edge.
Area under the curve (AUC) - Correct answer-Area under the ROC curve; an
estimate of the classification model's accuracy. Also called concordance index.
©COPYRIGHT 2025, ALL RIGHTS RESERVE 2
,ARIMA - Correct answer-Autoregressive integrated moving average.
Arrival Rate - Correct answer-Expected number of arrivals of people, things, etc.
per unit time -- for example, the expected number of truck deliveries per hour to a
warehouse.
Assignment Problem - Correct answer-Network optimization model with two sets
of nodes, that finds the best way to assign each node in one set to each node in the
other set.
Attribute - Correct answer-A characteristic or measurement - for example, a
person's height or the color of a car. Generally interchangeable with "feature", and
often with "covariate" or "predictor". In the standard tabular format, a column of
data.
Autoregression - Correct answer-Regression technique using past values of time
series data as predictors of future values.
Autoregressive integrated moving average (ARIMA) - Correct answer-Time series
model that uses differences between observations when data is nonstationary. Also
called Box-Jenkins.
©COPYRIGHT 2025, ALL RIGHTS RESERVE 3
, Backward elimination - Correct answer-Variable selection process that starts with
all variables and then iteratively removes the least-immediately-relevant variables
from the model.
Balanced Design - Correct answer-Set of combinations of factor values across
multiple factors, that has the same number of runs for all combinations of levels of
one or more factors.
Balking - Correct answer-An entity arrives to the queue, sees the size of the line (or
some other attribute), and decides to leave the system.
Bayes' theorem/Bayes' rule - Correct answer-Fundamental rule of conditional
probability: 𝑃(𝐴|𝐵)=𝑃(𝐵|𝐴)*𝑃(𝐴) / 𝑃(𝐵)
Bayesian Information criterion (BIC) - Correct answer-Model selection technique
that trades off model fit and model complexity. When comparing models, the
model with lower BIC is preferred. Generally penalizes complexity more than AIC.
Bayesian Regression - Correct answer-Regression model that incorporates
estimates of how coefficients and error are distributed.
Bellman's Equation - Correct answer-Equation used in dynamic programming that
ensures optimality of a solution.
©COPYRIGHT 2025, ALL RIGHTS RESERVE 4
