ISYE 6501 Final Quiz | Questions and
Answers | 2026 Update | 100% Correct
1-norm -CORRECTANSWER 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 -CORRECTANSWER testing two alternatives to see which one performs
better
2-norm -CORRECTANSWER 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 -CORRECTANSWER Fraction of data points correctly classified by a model;
equal to TP+TN / TP+FP+TN+FN
Action -CORRECTANSWER In ARENA, something that is done to an entity.
Additive Seasonality -CORRECTANSWER 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 -CORRECTANSWER Variant of R2 that encourages simpler
models by penalizing the use of too many variables.
AIC -CORRECTANSWER 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 -CORRECTANSWER Step-by-step procedure designed to carry out a task.
Analysis of Variance/ANOVA -CORRECTANSWER Statistical method for dividing the
variation in observations among different sources.
Approximate dynamic program -CORRECTANSWER Dynamic programming model
where the value functions are approximated.
Arc -CORRECTANSWER 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) -CORRECTANSWER Area under the ROC curve; an
estimate of the classification model's accuracy. Also called concordance index.
,ARIMA -CORRECTANSWER Autoregressive integrated moving average.
Arrival Rate -CORRECTANSWER 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 -CORRECTANSWER 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 -CORRECTANSWER 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 -CORRECTANSWER Regression technique using past values of time
series data as predictors of future values.
Autoregressive integrated moving average (ARIMA) -CORRECTANSWER Time series
model that uses differences between observations when data is nonstationary. Also
called Box-Jenkins.
, Backward elimination -CORRECTANSWER Variable selection process that starts with
all variables and then iteratively removes the least-immediately-relevant variables from
the model.
Balanced Design -CORRECTANSWER 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 -CORRECTANSWER 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 -CORRECTANSWER Fundamental rule of conditional
probability: 𝑃(𝐴|𝐵)=𝑃(𝐵|𝐴)*𝑃(𝐴) / 𝑃(𝐵)
Bayesian Information criterion (BIC) -CORRECTANSWER 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 -CORRECTANSWER Regression model that incorporates
estimates of how coefficients and error are distributed.
Bellman's Equation -CORRECTANSWER Equation used in dynamic programming that
ensures optimality of a solution.
Answers | 2026 Update | 100% Correct
1-norm -CORRECTANSWER 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 -CORRECTANSWER testing two alternatives to see which one performs
better
2-norm -CORRECTANSWER 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 -CORRECTANSWER Fraction of data points correctly classified by a model;
equal to TP+TN / TP+FP+TN+FN
Action -CORRECTANSWER In ARENA, something that is done to an entity.
Additive Seasonality -CORRECTANSWER 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 -CORRECTANSWER Variant of R2 that encourages simpler
models by penalizing the use of too many variables.
AIC -CORRECTANSWER 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 -CORRECTANSWER Step-by-step procedure designed to carry out a task.
Analysis of Variance/ANOVA -CORRECTANSWER Statistical method for dividing the
variation in observations among different sources.
Approximate dynamic program -CORRECTANSWER Dynamic programming model
where the value functions are approximated.
Arc -CORRECTANSWER 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) -CORRECTANSWER Area under the ROC curve; an
estimate of the classification model's accuracy. Also called concordance index.
,ARIMA -CORRECTANSWER Autoregressive integrated moving average.
Arrival Rate -CORRECTANSWER 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 -CORRECTANSWER 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 -CORRECTANSWER 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 -CORRECTANSWER Regression technique using past values of time
series data as predictors of future values.
Autoregressive integrated moving average (ARIMA) -CORRECTANSWER Time series
model that uses differences between observations when data is nonstationary. Also
called Box-Jenkins.
, Backward elimination -CORRECTANSWER Variable selection process that starts with
all variables and then iteratively removes the least-immediately-relevant variables from
the model.
Balanced Design -CORRECTANSWER 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 -CORRECTANSWER 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 -CORRECTANSWER Fundamental rule of conditional
probability: 𝑃(𝐴|𝐵)=𝑃(𝐵|𝐴)*𝑃(𝐴) / 𝑃(𝐵)
Bayesian Information criterion (BIC) -CORRECTANSWER 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 -CORRECTANSWER Regression model that incorporates
estimates of how coefficients and error are distributed.
Bellman's Equation -CORRECTANSWER Equation used in dynamic programming that
ensures optimality of a solution.
