WGU -C207 – DATA DRIVEN DECISIONMAKING
EXAM QUESTIONS AND ALL ANSWERS VERIFIED
When do we do the analytics in the decision-making process? Before, after,
during, or in-between?
Before
-
When do we measure in the decision-making process? Before, after, during, or
in-between?
After
-
Why do we use data to make decision?
To make a fact based decision and accurate predications.
-
Data Management seeks to provide data that is what?
Relevant, Complete, Accurate, Available, Timely
-
The three types of analytics
Descriptive, Predictive, Prescriptive
-
Descriptive Analytics
Discussing current and past information. No predictions about the future
-
Predictive Analytics
,Using the past to predict the future
-
Prescriptive Analytics
Using the past to predict the future AND optimize the situation.
-
Sorting out your spreadsheet can help find what?
Out of range and Omission
-
What is a random error?
If the error will fix itself, is unknown and unpredictable, and can be minimized
by a larger sample size
-
What is a systematic error?
If the error will NOT fix itself. You must fix it. Is a constant measurement error,
and can be caused by measurement instruments or experimental design
-
Skewness
A measure of the degree to which a probability distribution "leans" toward one
side of the average, where the median and mean are not the same
-
Relational Database
A database structured to recognize relations among stored items of information
-
Outlier
Observation points that are distant from others
-
, Reliable Data
Consistent and repeatable
-
Valid Data
Measures what is intended to be measured
-
Measurement Bias
A prejudice in the data that results in inaccurate measure. This can result from
faulty measurement tools, misclassification of the sample, or failing to correctly
measure the right variable.
-
Selection Bias
A bias introduced within the sample of the study. Sample Size must be -
Representative, Random, Large Enough (at least 30 samples)
-
Information (Response) Bias
Respondent says what they believe the questioner wants to hear or Surveyor is
actively seeking a certain response
-
Big Data
Both Structured and Unstructured data in such large volumes that it's difficult to
process using traditional database and software techniques
-
Data Mining
The process of searching through customer data in order to detect patterns to
guide marketing decision making, but will overlook underlying causes
-
EXAM QUESTIONS AND ALL ANSWERS VERIFIED
When do we do the analytics in the decision-making process? Before, after,
during, or in-between?
Before
-
When do we measure in the decision-making process? Before, after, during, or
in-between?
After
-
Why do we use data to make decision?
To make a fact based decision and accurate predications.
-
Data Management seeks to provide data that is what?
Relevant, Complete, Accurate, Available, Timely
-
The three types of analytics
Descriptive, Predictive, Prescriptive
-
Descriptive Analytics
Discussing current and past information. No predictions about the future
-
Predictive Analytics
,Using the past to predict the future
-
Prescriptive Analytics
Using the past to predict the future AND optimize the situation.
-
Sorting out your spreadsheet can help find what?
Out of range and Omission
-
What is a random error?
If the error will fix itself, is unknown and unpredictable, and can be minimized
by a larger sample size
-
What is a systematic error?
If the error will NOT fix itself. You must fix it. Is a constant measurement error,
and can be caused by measurement instruments or experimental design
-
Skewness
A measure of the degree to which a probability distribution "leans" toward one
side of the average, where the median and mean are not the same
-
Relational Database
A database structured to recognize relations among stored items of information
-
Outlier
Observation points that are distant from others
-
, Reliable Data
Consistent and repeatable
-
Valid Data
Measures what is intended to be measured
-
Measurement Bias
A prejudice in the data that results in inaccurate measure. This can result from
faulty measurement tools, misclassification of the sample, or failing to correctly
measure the right variable.
-
Selection Bias
A bias introduced within the sample of the study. Sample Size must be -
Representative, Random, Large Enough (at least 30 samples)
-
Information (Response) Bias
Respondent says what they believe the questioner wants to hear or Surveyor is
actively seeking a certain response
-
Big Data
Both Structured and Unstructured data in such large volumes that it's difficult to
process using traditional database and software techniques
-
Data Mining
The process of searching through customer data in order to detect patterns to
guide marketing decision making, but will overlook underlying causes
-
