- Descriptive analytics:
- can predict risk and find relationships in data not readily apparent with traditional
- helps companies classify their customers into segments to develop specific marketing campaigns.
- helps detect hidden patterns in large quantities of data to group data into sets to predict behavior.
- can use mathematical techniques with optimization to make decisions that take into account the uncertainty in the
Answer: B Diff: 1
Blooms: Remember
Topic: Scope of Business Analytics
LO1: Explain and provide examples of descriptive, predictive, and prescriptive analytics. LO2: Compare and contrast tools for presenting and organizing data
- A manager at Gampco Inc. wishes to know the company’s revenue and profit in its previous quarter. Which of the following business analytics will help the manager?
- prescriptive analytics
- normative analytics
- descriptive analytics
- predictive analytics Answer: C
Diff: 1
Blooms: Apply AACSB: Analytic Skills
Topic: Scope of Business Analytics
LO1: Explain and provide examples of descriptive, predictive, and prescriptive analytics. LO2: Describe the major tools and criteria for decision making.
- Predictive analytics:
- summarizes data into meaningful charts and reports that can be standardized or
- identifies the best alternatives to minimize or maximize an
- uses data to determine a course of action to be executed in a given
- detects patterns in historical data and extrapolates them forward in time. Answer: D
Diff: 2
Blooms: Remember
Topic: Scope of Business Analytics
LO1: Explain and provide examples of descriptive, predictive, and prescriptive analytics. LO2: Compare and contrast tools for presenting and organizing data
- A trader who wants to predict short-term movements in stock prices is likely to use
- predictive
- descriptive
- normative
- prescriptive Answer: A Diff: 1
Blooms: Apply AACSB: Analytic Skills
Topic: Scope of Business Analytics
LO1: Explain and provide examples of descriptive, predictive, and prescriptive analytics. LO2: Describe the major tools and criteria for decision making.
- Which of the following questions will prescriptive analytics help a company address?
- How many and what types of complaints did they resolve?
- What is the best way of shipping goods from their factories to minimize costs?
- What do they expect to pay for fuel over the next several months?
- What will happen if demand falls by 10% or if supplier prices go up 5%? Answer: B
Diff: 2
Blooms: Understand AACSB: Analytic Skills
Topic: Scope of Business Analytics
LO1: Explain and provide examples of descriptive, predictive, and prescriptive analytics. LO2: Describe the major tools and criteria for decision making.
- What is a database?
- a structured collection of related files and data
- simply a collection of data
- a data file holding a single file
- flat files used to store data Answer: A
Diff: 1
Blooms: Remember
Topic: Data for Business Analytics
LO1: Explain the difference between a data set and a database.
LO2: Explain how data are acquired and distinguish among different types of data and levels of measurement
- In a database, information is stored and maintained in .
- fields
- measurements
- entities
- attributes Answer: C Diff: 1
Blooms: Remember
Topic: Data for Business Analytics
LO1: Explain the difference between a data set and a database.
LO2: Explain how data are acquired and distinguish among different types of data and levels of measurement
- Which of the following is an example of a measure of continuous metrics?
- four errors revealed in an invoice
- a delivery delayed by seven days
- weight and volume of a sheet of steel
- three incomplete orders on a day Answer: C
Diff: 2
Blooms: Understand
Topic: Data for Business Analytics
LO1: Explain the difference between a discrete metric and continuous metric, and provide examples of each.
LO2: Explain how data are acquired and distinguish among different types of data and levels of measurement
- Nominal data:
- are ranked according to some relationship to one
- have constant differences between observations.
- are continuous and have a natural zero.
- are sorted into categories according to specified characteristics. Answer: D
Diff: 1
Blooms: Remember
Topic: Data for Business Analytics
LO1: Describe the four groups of data classification, categorical, ordinal, interval, and ratio, and provide examples of each.
LO2: Explain how data are acquired and distinguish among different types of data and levels of measurement
- Which of the following is a disadvantage of ordinal data?
- They bear no relationship to one
- They have no fixed units of
- They have no natural
- They are not comparable with each other. Answer: B
Diff: 2
Blooms: Understand
Topic: Data for Business Analytics
LO1: Describe the four groups of data classification, categorical, ordinal, interval, and ratio, and provide examples of each.
LO2: Explain how data are acquired and distinguish among different types of data and levels of measurement
- Which of the following allow meaningful comparison of ranges, averages and other statistics?
- interval data
- categorical data
- ratio data
- ordinal data Answer: A Diff: 1
Blooms: Remember
Topic: Data for Business Analytics
LO1: Describe the four groups of data classification, categorical, ordinal, interval, and ratio, and provide examples of each.
LO2: Explain how data are acquired and distinguish among different types of data and levels of measurement
- Following are the components of a data set containing purchase details of a shoe manufacturing company. Identify the ratio
- Item Number
- Rank of suppliers
- Item cost
- Arrival Date Answer: C Diff: 2
Blooms: Apply
Topic: Data for Business Analytics
LO1: Describe the four groups of data classification, categorical, ordinal, interval, and ratio, and provide examples of each.
LO2: Explain how data are acquired and distinguish among different types of data and levels of measurement
- When data are classified by the type of measurement scale, which is the strongest form of measurement?
- nominal
- interval
- ordinal
- ratio Answer: D Diff: 1
Blooms: Remember
Topic: Data for Business Analytics
LO1: Describe the four groups of data classification, categorical, ordinal, interval, and ratio, and provide examples of each.
LO2: Explain how data are acquired and distinguish among different types of data and levels of measurement
- The demand for coffee beans over a period of three months has been represented in the form of an L-shaped curve. Which form of model was used here?
- mathematical model
- visual model
- kinesthetic (tactile) model
- verbal model Answer: B Diff: 1
Blooms: Apply AACSB: Analytic Skills Topic: Decision Models
LO1: Explain the concept of a model and various ways a model can be characterized. LO2: Compare and contrast tools for presenting and organizing data
- Decision variables:
- cannot be directly controlled by the decision
- are assumed to be
- are always uncertain.
- can be selected at the discretion of the decision maker. Answer: D
Diff: 2
Blooms: Understand Topic: Decision Models
LO1: Define and list the elements of a decision model.
LO2: Describe the major tools and criteria for decision making.
- Identify the uncontrollable variable from the following inputs of a decision
- investment returns
- machine capacities
- staffing levels
- intercity distances Answer: A
Diff: 1
Blooms: Apply
Topic: Decision Models
LO1: Define and list the elements of a decision model.
LO2: Describe the major tools and criteria for decision making.
- Which of the following inputs of a decision model is an example of data?
- estimated consumer demand
- inflation rates
- costs
- investment allocations Answer: C
Diff: 1
Blooms: Remember
Topic: Data for Business Analytics
LO1: Define and list the elements of a decision model.
LO2: Describe the major tools and criteria for decision making.
- Descriptive decision models:
- aim to predict what will happen in the
- describe relationships but do not tell a manager what to
- help analyze the risks associated with various
- do not facilitate evaluation of different decisions. Answer: B
Diff: 2
Blooms: Understand Topic: Decision Models
LO1: Explain the concept of a model and various ways a model can be characterized. LO2: Describe the major tools and criteria for decision making.
- The total cost of reaching consumers (C) depends upon the number of consumers (N), advertising costs (A), and transportation costs (T). The linear cost prediction model is represented as:
C = c – nN + aA + tT
where c, n, a, and t are constants and c estimates the total cost when the remaining variables are zero. Which of the following interpretations is true about this model?
- Change in variables N, A, and T will cause n, a, and t to
- As n decreases, c will
- When variables N, A, and T are zero, C = c – n + a + t.
- Change in variables N, A, and T will not reflect any changes in c. Answer: D
Diff: 3
Blooms: Apply
Topic: Decision Models
LO1: Use influence diagrams to build simple mathematical models. LO2: Compare and contrast methods of summarizing and describing data
- Which of the following is the mathematical model for deriving total cost of only manufacturing?
- TC = VC + (C × Q)
- TC = F + (C × Q)
- TC = F + C
- TC = F + (V × Q)
Answer: D Diff: 2
Blooms: Apply AACSB: Analytic Skills Topic: Decision Models
LO1: Use influence diagrams to build simple mathematical models. LO2: Describe the major tools and criteria for decision making.
- Which of the following is the mathematical model for deriving total cost of only outsourcing?
- TC = Q x C
- TC = F + (C x Q)
- TC = (V + C) x Q
- TC = (VC + F) x Q
Answer: A Diff: 2
Blooms: Apply AACSB: Analytic Skills Topic: Decision Models
LO1: Use influence diagrams to build simple mathematical models. LO2: Describe the major tools and criteria for decision making.
- Which of the following is the mathematical model for deriving the break-even volume?
- Q = (C – VC) + F
- Q = F / (C -V)
- Q = (V + C) / F
- Q = F / (VC – C)
Answer: B Diff: 2
Blooms: Apply AACSB: Analytic Skills Topic: Decision Models
LO1: Use influence diagrams to build simple mathematical models. LO2: Describe the major tools and criteria for decision making.
- When will a company use a predictive decision model?
- when it wishes to determine the best product pricing to maximize revenue
- when it wishes to know how best to use advertising strategies to influence sales
- when it wishes to know sales patterns to plan inventory levels
- when it wishes to ensure that a specified level of customer service is achieved Answer: C
Diff: 2
Blooms: Understand AACSB: Analytic Skills Topic: Decision Models
LO1: Use predictive models to compute model outputs.
LO2: Describe the major tools and criteria for decision making.
- If D is demand, P is the unit price, and c and d are constants (where d > 0 is the price elasticity), which of the following is a nonlinear demand prediction model?
- D = d + (c × P)
- D = (d × P)c
- D = cd × P
- D = cP-d Answer: D Diff: 2
Blooms: Apply AACSB: Analytic Skills Topic: Decision Models
LO1: Use predictive models to compute model outputs.
LO2: Describe the major tools and criteria for decision making.
- Which decision model incorporates the uncertainty element?
- predictive
- normative
- prescriptive
- descriptive Answer: A Diff: 1
Blooms: Remember Topic: Decision Models
LO1: Use predictive models to compute model outputs.
LO2: Describe the major tools and criteria for decision making. Use the chart below to answer the following two questions:
(Image available in PDF file So please purchase for download full PDF test bank)
- What is the slope of the sales function D = a – bP?
- 4
- 9
- 12
- 17 Answer: C Diff: 3
Blooms: Apply
Topic: Decision Models
LO1: Use influence diagrams to build simple mathematical models. LO2: Describe the major tools and criteria for decision making.
- How many gallons will be sold if the price is increased to $4.75? A) 26
- B) 843
- C) 798.72
- D) 818
Answer: B Diff: 3
Blooms: Apply AACSB: Analytic Skills Topic: Decision Models
LO1: Use predictive models to compute model outputs.
LO2: Describe the major tools and criteria for decision making.
- Prescriptive decision models help:
- make predictions of how demand is influenced by
- make trade-offs between greater rewards and risks of potential
- decision makers identify the best solution to decision
- describe relationships and influence of various elements in the model. Answer: C
Diff: 1
Blooms: Remember Topic: Decision Models
LO1: Define the terms optimization, objective function, and optimal solution. LO2: Describe the major tools and criteria for decision making.
- The manager at Soul Walk Inc., a shoe manufacturing company, wants to set a new price (P) for a shoe model to maximize total profit. The demand (D) as a function of price is represented as:
D = 1,500 – 2.5P
The total cost (C) as a function of demand is represented as:
C = 3,200 + 3.5D
Which of the following is a model for total profit as a function of price? A) (1,508.75× price) – (2.5 × price2) – 8,450
- B) (3.5 × price2) + 3,200 – (1925.50 × price)
- C) (1,250 × price) + (5 × price2) – 8,320
- D) [4521 + (4.5 × price)] × price – 9684.25
Answer: A Diff: 3
Blooms: Apply
Topic: Decision Models
LO1: Define the terms optimization, objective function, and optimal solution. LO2: Describe the major tools and criteria for decision making.
- Which decision model incorporates the process of optimization?
- predictive
- prescriptive
- descriptive
- normative Answer: B Diff: 1
Blooms: Remember Topic: Decision Models
LO1: Define the terms optimization, objective function, and optimal solution. LO2: Describe the major tools and criteria for decision making.