
M-1 Data-Driven Decision Making

Quiz
•
Business
•
University
•
Easy
Clouded Jester
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15 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
For companies to attract and retain their best customers they need a complete portrait of who they are. To develop this portrait companies turn to…
Statistics
Analytics
Management Science
Histograms
2.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
A manufacturer wants to maximize their factory output while specifically minimizing labor costs. What type of analytics might they employ to achieve this goal?
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Diagnostic Analytics
3.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
What type of data error that occurs in measurement is constant within a data set and is sometimes caused by faulty equipment or bias?
Random
Omission
Outlier
Systematic
4.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
An Educator develops a new standardized test to measure math skills of ninth graders. She has students in her home state of Ohio take the test. If the test is to be used on a national level, what type of error might be found in her data?
Omission Error
Systematic Error
Measurement Bias
Information Bias
5.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
A city government is trying to determine the national origins of its recent immigrant population. If a survey of the immigrant population is conducted in English what type of error might be present in the data?
Random
Omission
Outlier
Accuracy
6.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
The use of Big Data is increasingly important to businesses in competitive markets. Which of the following characteristics is not true of big data?
Requires the use of analytics
Contains structured data
Contains unstructured data
Can be analyzed with traditional spreadsheets
7.
MULTIPLE SELECT QUESTION
15 mins • 1 pt
The Davenport-Kim three-stage model consists of framing the problem, solving the problem, and communicating results. Which two of the following are part of framing the problem stage?
Determine the scope of the problem
Data collection
Review of previous findings
Presenting a recommendation
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