C207 OA Exam Test Questions and Answers Graded A+
the use of data to understand past and current business
Descriptive Analytics
performance and make informed decisions
Predictive Analytics the use of past data to model future outcomes
use techniques that create models indicating the best
Prescriptive Analytics
decision to make or course of action to take
Structured and Unstructured data, large quantities, can-
4 components of Big Data
not use traditional software and databases
Data Mining finding hidden patterns within Big Data
1. framing the problem
3 Steps of Davenport-Kim Three-Stage Model 2. solving the problem
3. communicating results
A process that focuses on data collection, storage, and
Data Management retrieval. Common data management functions include
addition, deletion, modification, and listing.
Data that can be any value on a range
Continuous Data
ex: age
Data that is within a range and an equal interval apart
Interval Data
ex: times, shoe sizes
Data that have known intervals between values and a
meaningful zero value
Ratio Data
ex: income, inventory levels
Ratioooo = 0
Numerical data that can be counted as whole numbers
Discrete Data
ex: cars
Nominal Data
, C207 OA Exam Test Questions and Answers Graded A+
Data which consists of names, labels, or categories
ex: male/female
NOMinal = NAMes
Data that places objects into an order according to some
quality with higher order indicating more of that quality
Ordinal Data
ex: degrees
ORDinal = ORDered
An error that will not repeat itself and occurs less in larger
Random Error
samples of data
An error that is consistently made throughout an experi-
Systematic Error
ment, likely because of measurement or tool faultiness
An error because something (for example, data or survey
Omission Error
response) is missing.
A value much greater or much less than the others in a
Outlier
data set
Bias from a poor representation of the population or a
Measurement Bias
sample that is not random
Tendency for subjects to respond with what they assume
Response Bias
the questioner wants to hear
Tendency for the surveyor to be seeking or leading to a
Conscious Bias
certain response
Skewness (Bias) Measure of degree to which data "leans" toward one side
Studies in which the researcher observes and statistically
Observational Studies
analyzes when it is impractical to have control
Experimental Studies
the use of data to understand past and current business
Descriptive Analytics
performance and make informed decisions
Predictive Analytics the use of past data to model future outcomes
use techniques that create models indicating the best
Prescriptive Analytics
decision to make or course of action to take
Structured and Unstructured data, large quantities, can-
4 components of Big Data
not use traditional software and databases
Data Mining finding hidden patterns within Big Data
1. framing the problem
3 Steps of Davenport-Kim Three-Stage Model 2. solving the problem
3. communicating results
A process that focuses on data collection, storage, and
Data Management retrieval. Common data management functions include
addition, deletion, modification, and listing.
Data that can be any value on a range
Continuous Data
ex: age
Data that is within a range and an equal interval apart
Interval Data
ex: times, shoe sizes
Data that have known intervals between values and a
meaningful zero value
Ratio Data
ex: income, inventory levels
Ratioooo = 0
Numerical data that can be counted as whole numbers
Discrete Data
ex: cars
Nominal Data
, C207 OA Exam Test Questions and Answers Graded A+
Data which consists of names, labels, or categories
ex: male/female
NOMinal = NAMes
Data that places objects into an order according to some
quality with higher order indicating more of that quality
Ordinal Data
ex: degrees
ORDinal = ORDered
An error that will not repeat itself and occurs less in larger
Random Error
samples of data
An error that is consistently made throughout an experi-
Systematic Error
ment, likely because of measurement or tool faultiness
An error because something (for example, data or survey
Omission Error
response) is missing.
A value much greater or much less than the others in a
Outlier
data set
Bias from a poor representation of the population or a
Measurement Bias
sample that is not random
Tendency for subjects to respond with what they assume
Response Bias
the questioner wants to hear
Tendency for the surveyor to be seeking or leading to a
Conscious Bias
certain response
Skewness (Bias) Measure of degree to which data "leans" toward one side
Studies in which the researcher observes and statistically
Observational Studies
analyzes when it is impractical to have control
Experimental Studies
