Introduction to Business Analytics Test Bank
Course Introduction
Introduction to Business Analytics offers students a comprehensive foundation in the principles and practices of analyzing business data to inform decision-making. The course covers key topics such as data collection, data analysis, and interpretation, focusing on the use of quantitative methods and statistical tools to solve real-world business problems. Students learn about descriptive, predictive, and prescriptive analytics, and gain experience with popular software used in the field. Emphasis is placed on translating data insights into actionable business strategies, ethical considerations in analytics, and the impact of data-driven approaches on modern organizations.
Recommended Textbook
Essentials of Business Analytics 1st Edition by Jeffrey D. Camm
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12 Chapters
688 Verified Questions
688 Flashcards
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Chapter 1: Introduction
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30 Verified Questions
30 Flashcards
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Sample Questions
Q1) ______ assigns values to outcomes based on the decision maker's attitude toward risk, loss, and other factors.
A) Simulation optimization
B) Utility theory
C) Optimization model
D) Data dashboard
Answer: B
Q2) Franchises across several major sports dynamically adjust ticket prices throughout the season to reflect the relative attractiveness and potential demand for each game by using:
A) data mining.
B) predictive analytics.
C) simulation.
D) prescriptive analytics.
Answer: D
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Page 3
Chapter 2: Descriptive Statistics
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60 Verified Questions
60 Flashcards
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Sample Questions
Q1) When the data are large and when it is difficult to analyze all at once, which of the following feature in Excel is used to make the data more manageable and to develop insights?
A) Frequency table
B) Sorting and filtering
C) Fill color
D) Charts
Answer: B
Q2) Any data value with a z-score less than -3 or greater than +3 is treated as a(n)
A) outlier.
B) usual value.
C) whisker.
D) z-score value.
Answer: A
Q3) Which of the following gives the proportion of items in each bin?
A) Frequency
B) Percent frequency
C) Relative frequency
D) Bin proportion
Answer: C
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Chapter 3: Data Visualization
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61 Verified Questions
61 Flashcards
Source URL: https://quizplus.com/quiz/22191
Sample Questions
Q1) In many cases, white space in a chart can improve _____.
A) complexity
B) readability
C) functionality
D) stability
Answer: B
Q2) A _____ is useful for visualizing hierarchical data along multiple dimensions.
A) heat map
B) hierarchical map
C) tree map
D) map of multiple hierarchy
Answer: C
Q3) An effective way to show both trend and magnitude is achieved by using a combination of a
A) time series plot and sparklines.
B) line chart and trendlines.
C) heat map and sparklines.
D) bubble chart and trendlines.
Answer: C
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Page 5
Chapter 4: Linear Regression
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60 Verified Questions
60 Flashcards
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Sample Questions
Q1) Assessing the regression model on data other than the sample data that was used to generate the model is known as _____.
A) approximation
B) cross-validation
C) graphical validation
D) postulation
Q2) A regression analysis involving one independent variable and one dependent variable is referred to as a _____.
A) factor analysis
B) time series analysis
C) simple regression
D) data mining
Q3) Fitting a model too closely to sample data, resulting in a model that does not accurately reflect the population is termed as _____.
A) approximation
B) hypothesizing
C) overfitting
D) postulating
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Chapter 5: Time Series Analysis and Forecasting
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58 Verified Questions
58 Flashcards
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Sample Questions
Q1) Trends result from:
A) rapidly-arising short-term factors.
B) rapidly-arising long-term factors.
C) slowly-varying short-term factors.
D) slowly-varying long-term factors.
Q2) In the moving averages method, the order k determines the:
A) error tolerance
B) compensation for forecasting error
C) number of time series values under consideration
D) number of samples in each unit time period
Q3) Causal models:
A) provide evidence of a causal relationship between an independent variable and the variable to be forecast.
B) use the average of the most recent data values in the time series as the forecast for the next period.
C) occur whenever all the independent variables are previous values of the same time series.
D) relate a time series to other variables that are believed to explain or cause its behavior.
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Chapter 6: Data Mining
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60 Verified Questions
60 Flashcards
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Sample Questions
Q1) _____ refers to the scenario in which the analyst builds a model that does a great job of explaining the sample of data on which it is based but fails to accurately predict outside the sample data.
A) Underfitting
B) Overfitting
C) Oversampling
D) Undersampling
Q2) k-means clustering is the process of:
A) agglomerating observations into a series of nested groups based on a measure of similarity.
B) organizing observations into one of a number of groups based on a measure of similarity.
C) reducing the number of variables to consider in a data-mining approach.
D) estimating the value of a continuous outcome variable.
Q3) Which of the following is a commonly used supervised learning method?
A) k-means clustering
B) k-nearest neighbors
C) hierarchical clustering
D) association rule development
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Page 8
Chapter 7: Spreadsheet Models
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60 Flashcards
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Sample Questions
Q1) Spreadsheet models are referred to as what-if models because they:
A) are mathematical and logic-based models.
B) allow easy instantaneous recalculation for a change in model inputs.
C) come preloaded on computers.
D) have specialized functions to perform detailed analysis.
Q2) The SUM function in Excel:
A) adds up all the numbers in the cells diagonally.
B) adds up only positive numbers in a range of cells.
C) adds up all the numbers in a range of cells.
D) adds up the cells specified by a given condition or criteria.
Q3) The _____ function pairs each element of the first array with its counterpart in the second array, multiplies the elements of the pairs together, and adds the results.
A) SUM
B) SUMPRODUCT
C) SUMIF
D) VLOOKUP
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Chapter 8: Linear Optimization Models
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60 Verified Questions
60 Flashcards
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Sample Questions
Q1) _____ is the situation in which no solution to the linear programming problem satisfies all the constraints.
A) Unboundedness
B) Divisibility
C) Infeasibility
D) Optimality
Q2) The reduced cost indicates the change in the optimal objective function value that results from changing the right-hand side of the nonnegativity constraint from:
A) 1 to 0.
B) 0 to 1.
C) 1 to .
D) to 1.
Q3) The change in the optimal objective function value per unit increase in the right-hand side of a constraint is given by the _____.
A) objective function coefficient
B) shadow price
C) restrictive cost
D) right-hand side allowable increase
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10
Chapter 9: Integer Linear Optimization Models
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Sample Questions
Q1) The objective function for a linear optimization problem is: Max 3x + 2y, with one of the constraints being x, y = 0, 1. x and y are the only decision variables. This is an example of a _____.
A) nonlinear program
B) mixed-integer linear program
C) LP relaxation of the integer linear program
D) binary integer linear program
Q2) A coffee maker vendor has set up two coffee machines, Machine 1 and Machine 2, inside an organization. The service cost incurred on Machine 1 and Machine 2 is $100 and $80, respectively. The production cost of coffee is $2 per mug for Machine 1 and $3 per mug for Machine 2. There is no service provided by the vendor on Sundays. The weekly production capacity is 1000 mugs for Machine 1 and 1200 mugs for Machine 2, and thereafter the machine needs to be serviced before any extra mug of coffee is to be served. Due to Christmas, the employee attendance at the organization is going to be low and only one machine has to be used to serve at least 800 mugs of coffee in that week in order to minimize the total cost.
Formulate and solve the integer programming model that could be used to determine the coffee machine which minimizes the cost.
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11
Chapter 10: Nonlinear Optimization Models
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60 Flashcards
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Sample Questions
Q1) The _____ of a solution is a mathematical concept that refers to the set of points within a relatively close proximity of the solution.
A) objective function contour
B) neighborhood
C) regression equation
D) Lagrangian multiplier
Q2) In a nonlinear problem, the rate of change of the objective function with respect to the right-hand side of a constraint is given by the ____.
A) slope of the contour line
B) local optimum
C) Reducing gradient
D) Lagrangian multiplier
Q3) Reference - 10.1. Which of the following functions is most likely to yield the above shape?
A) f(X, Y) = x<sup> </sup>+ y<sup> </sup>
B) f(X, Y) = -X - Y
C) f(X, Y) = -x<sup> </sup>- y<sup> </sup>
D) f(X, Y) = Xsin(5 X) + Ysin(5 Y)
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12
Chapter 11: Monte Carlo Simulation
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59 Verified Questions
59 Flashcards
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Sample Questions
Q1) All the values of computer-generated random numbers are_____.
A) Poisson distributed
B) lognormally distributed
C) uniformly distributed
D) normally distributed
Q2) A description of the range and relative likelihood of possible values of an uncertain variable is known as a _____.
A) risk analysis
B) probability distribution
C) base-case scenario
D) simulation optimization
Q3) The Excel add-in _____ is used to design a spreadsheet simulation model.
A) Analytic Solver Platform
B) Goal Seek
C) Solver
D) GPSS
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13
Chapter 12: Decision Analysis
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60 Flashcards
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Sample Questions
Q1) The _____ approach evaluates each decision alternative in terms of the best payoff that can occur.
A) conservative
B) optimistic
C) maximin regret
D) expected value
Q2) Choosing a decision alternative that maximizes the minimum profit is a feature of the _____ approach.
A) expected value
B) optimistic
C) conservative
D) maximin regret
Q3) Lines showing the alternatives from decision nodes and the outcomes from chance nodes are called _____.
A) weights
B) payoffs
C) diagonals
D) branches
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Page 14