Skip to main content

Test Bank For Business Analytics Applied Modelling and Prediction 1e James Abdey

Page 1

Business Analytics: Applied Modelling and Prediction

Testbank questions


ii


Chapter 1 Decision-making under uncertainty 1.1

Testbank questions

1. What is uncertainty? (a) A state of clarity and predictability (b) The lack of knowledge or information about a situation (c) A state of absolute certainty about the future (d) A characteristic only applicable to financial decisions Solution: (b) Uncertainty refers to a lack of knowledge, information, or predictability about a particular situation, event, or outcome. It signifies a state of doubt or ambiguity where the future or the true nature of something is uncertain. 2. What is the difference between dependent and independent variables? (a) Dependent variables are qualitative, while independent variables are always controllable. (b) Dependent variables cause changes in independent variables. (c) Independent variables cause changes in dependent variables. (d) Dependent variables are qualitative, while independent variables are quantitative. Solution: (c) Independent variables are those that impact the dependent variable, leading to a cause-and-effect relationship. Dependent variables are the outcomes or results being measured or observed in an experiment or study. 3. In decision-making under uncertainty, what is a dependent variable? (a) A variable that causes changes in other variables. (b) A variable that does not affect outcomes. (c) A variable that remains constant in all situations. (d) A variable being measured or observed. Solution: (d)

1


1. Decision-making under uncertainty

A dependent variable is the variable being measured or observed in an experiment or study. It is the outcome or result in which we are interested in understanding, explaining, or predicting. 4. What is the main purpose of the DIKW pyramid? (a) To model the conversion of data into wisdom. (b) To establish cause-and-effect relationships. (c) To convert data into information. (d) To provide insights into uncertain situations. Solution: (a) The DIKW pyramid models the hierarchical relationships between data, information, knowledge, and wisdom. It illustrates the transformation process from data to wisdom. 5. What is a model in the context of decision-making under uncertainty? (a) A complex representation of reality with all details considered. (b) A prediction about the future with certainty. (c) A deliberate simplification of reality. (d) An analysis based on incomplete data. Solution: (c) A model is a deliberate simplification of reality, where the most important features are retained, and less important details are ignored to facilitate understanding and analysis. 6. In the standard Monty Hall problem, where there are 3 doors, what is the probability of winning the car by switching doors after Monty has opened a door? (a) 1/2 (b) 1/3 (c) 1/4 (d) 2/3 Solution: (d) The probability of winning by switching is 2/3 in the standard Monty Hall problem. 7. What is the primary goal of decision-making under uncertainty? (a) To make informed decisions in situations with incomplete information. (b) To eliminate all risks and uncertainties. (c) To maximise profits and minimise losses.

2


1.1. Testbank questions

(d) To always choose the safest option. Solution: (a) The primary goal of decision-making under uncertainty is to make informed decisions in situations with incomplete information or ambiguity. 8. What are the ‘four Ps’ ? (a) Four predictive variables in regression analysis. (b) Four marketing mix variables: product, price, placement, and promotion. (c) Four popular statistical software packages. (d) Four probability distributions commonly used in statistical modeling. Solution: (b) In marketing, the ‘four Ps’ refer to the marketing mix variables: product, price, placement, and promotion. 9. Suppose ‘customer satisfaction score’ is a dependent variable of interest. What are the likely independent variables? (a) Economic climate, government regulations, technological advancements (b) Market demand, customer preferences, product features (c) Customer age, employee satisfaction, marketing budget (d) Service quality, price, food quality, location Solution: (d) The customer satisfaction score is likely to depend on service quality, price, food quality, and location, as these factors directly influence customers’ perception and experience. 10. For a city with a metro system, which improvement would you recommend for the network map? (a) Display the metro map in black and white (b) Use geographic accuracy in the map (c) Remove station names (d) Show all metro lines using the same colour Solution: (b) The improvement would be to use geographical accuracy in the map, making it more intuitive for commuters to navigate the system.

3


Turn static files into dynamic content formats.

Create a flipbook
Test Bank For Business Analytics Applied Modelling and Prediction 1e James Abdey by AnswerDone - Issuu