Exam 1: Introduction
Exam 1: Introduction49 Questions
Exam 2: Descriptive Statistics84 Questions
Exam 3: Data Visualization69 Questions
Exam 4: Descriptive Data Mining56 Questions
Exam 5: Probability: an Introduction to Modeling Uncertainty62 Questions
Exam 6: Statistical Inference62 Questions
Exam 7: Linear Regression71 Questions
Exam 8: Time Series Analysis and Forecasting58 Questions
Exam 9: Predictive Data Mining40 Questions
Exam 10: Spreadsheet Models64 Questions
Exam 11: Linear Optimization Models58 Questions
Exam 12: Integer Linear Optimization Models56 Questions
Exam 13: Nonlinear Optimization Models55 Questions
Exam 14: Monte Carlo Simulation59 Questions
Exam 15: Decision Analysis58 Questions
Select questions type
Data-driven decision making tends to decrease a firm's
Free
(Multiple Choice)
4.9/5
(38)
Correct Answer:
C
____________________ are analytical tools that describe what has happened.
Free
(Short Answer)
4.9/5
(35)
Correct Answer:
Descriptive analytics
The decisions concerning an organization's goals and future plans are called
Free
(Multiple Choice)
4.9/5
(33)
Correct Answer:
C
Data that are too large or too complex to be handled by standard data-processing techniques and typical desktop software are called _______________________ .
(Short Answer)
4.7/5
(38)
Corporate-level managers use ______ to summarize sales by region, current inventory levels, and other company-wide metrics all in a single screen.
(Multiple Choice)
4.9/5
(31)
_______________ analytics use techniques that take input data and yield a best course of action.
(Multiple Choice)
4.8/5
(36)
An increase in data ____________________ would help to protect stored data from destructive forces or unauthorized users.
(Short Answer)
4.9/5
(32)
______________________ is the most critical step of the decision-making process.
(Multiple Choice)
4.7/5
(34)
The use of probability and statistics to construct a computer model to study the impact of uncertainty on the decision at hand is called _____________________.
(Short Answer)
4.9/5
(23)
Veracity has to do with how much __________________ is in the data.
(Short Answer)
4.7/5
(46)
A ____________________ decision is concerned with how the organization should achieve the goals and objectives set by its strategy.
(Multiple Choice)
4.7/5
(40)
When a decision maker is faced with several alternatives and an uncertain set of future events, s/he uses ______ to develop an optimal strategy.
(Multiple Choice)
4.9/5
(37)
Utility theory is the study of the __________________ or relative desirability of a particular outcome that reflects the decision maker's attitude toward a collection of factors, such as profit, loss, and risk.
(Multiple Choice)
4.9/5
(29)
______________________ refers to a programming model used within Hadoop that performs the two major steps for which it is named: the map step and the reduce step.
(Multiple Choice)
4.9/5
(35)
____________________ are used in the pharmaceutical industry to assess the risk of introducing a new drug.
(Multiple Choice)
4.7/5
(37)
Which of the following analytical techniques helps us arrive at the best decision?
(Multiple Choice)
4.7/5
(25)
The extraction of information on the number of shipments, how much was included in each shipment, the date each shipment was sent, and so on from the manufacturing plant's database exemplifies
(Multiple Choice)
4.9/5
(37)
In order to manage an organization's human resource activities, such as hiring employees, tracking, and influencing employee retention, HR personnel use
(Multiple Choice)
4.9/5
(35)
__________ is an open-source programming environment that supports big data processing through distributed storage and distributed processing on clusters of computers.
(Multiple Choice)
4.8/5
(25)
A decision concerned with how the organization is run from day to day is known as a(n) _______________.
(Short Answer)
4.8/5
(29)
Showing 1 - 20 of 49
Filters
- Essay(0)
- Multiple Choice(0)
- Short Answer(0)
- True False(0)
- Matching(0)