Quiz1 ISDS361B
Quiz1 ISDS361B
Quiz1 ISDS361B
a. random sampling.
b. sample data.
c. population sampling.
d. sources of data.
Which of the following sources of big data is not publicly available?
a. Weather data
b. Medical records
c. Sports records
d. Twitter
Optimization models can be used to
a. Cannot be determined.
b. Categorical data
d. Quantitative
data
a. quantity.
b. observation.
c. event.
d. factor.
Simulation optimization helps
a. Operational
b. Strategic
c. Simulation
d. Prescriptive
Which of the following is not an approach to making decisions?
b. Rules of thumb
c. Tradition
d. Intuition
b. strategic
c. intuitive
d. operational
Which of the following analytical techniques helps us arrive at the best decision?
a. Descriptive analytics
b. Predictive analytics
c. Data mining
d. Prescriptive analytics
In a survey of patients in a local hospital, 62.42% of the respondents indicated that the
health care providers needed to spend more time with each patient. Who makes up the
population?
a. variable.
b. observation.
c. sample.
d. parameter.
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__________ are collected from several entities at the same point in time.
a. Cross-sectional data
d. Random data
a. Cellphone owners around the world generate vast amounts of data by calling, texting, tweeting, and browsing
b. A local grocery store collects data from those that scan their loyalty card.
c. Five hundred Facebook users upload one thousand pictures per day.
d. predictive analytics.
The decisions concerning an organization's goals and future plans are called
a. tactical decisions.
b. strategic decisions.
c. operational decisions.
d. financial decisions.
Data dashboards are a type of _________ analytics.
a. prescriptive
b. descriptive
c. predictive
d. decision
Eight observations taken for two variables are as follows:
X: 11, 13,17, 18, 22, 24, 26, 28
Y: 35, 32, 26, 25, 20, 17, 11, 10
Develop a scatter diagram with X on the horizontal axis. What does the scatter diagram developed
indicate about the relationship between the two variables?
a. Linear regression
b. Data dashboard
c. Optimization model
d. Data visualization