C207 Module 1
1. Analytics: 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...
2. Prescriptive Analytics: A manufacturer wants to maximize their
factory output while specifically minimizing labor costs. What type of
analytics might they employ to achieve this goal?
3. Systematic: What type of data error that occurs in measurement is
constant within a data set and is sometimes caused by faulty
equipment or bias?
4. Measurement Bias: 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?
5. Omission: 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?
6. Can be analyzed with traditional spreadsheets: The use of Big Data is
increasingly important to businesses in competitive markets. Which of
the following characteristics is not true of big data?
7. Determine the scope of the problem
Review of previous findings: 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?
8. Treatment procedures
Experimental response: A healthcare provider is researching blood
glucose levels before and after exercising. What two elements
should be part of any experimental study such as this?
9. Ratio: Runners cover 26.2 miles in the Olympics marathon. What
level of mea- surement is this
1. Analytics: 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...
2. Prescriptive Analytics: A manufacturer wants to maximize their
factory output while specifically minimizing labor costs. What type of
analytics might they employ to achieve this goal?
3. Systematic: What type of data error that occurs in measurement is
constant within a data set and is sometimes caused by faulty
equipment or bias?
4. Measurement Bias: 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?
5. Omission: 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?
6. Can be analyzed with traditional spreadsheets: The use of Big Data is
increasingly important to businesses in competitive markets. Which of
the following characteristics is not true of big data?
7. Determine the scope of the problem
Review of previous findings: 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?
8. Treatment procedures
Experimental response: A healthcare provider is researching blood
glucose levels before and after exercising. What two elements
should be part of any experimental study such as this?
9. Ratio: Runners cover 26.2 miles in the Olympics marathon. What
level of mea- surement is this
