WGU C207 COURSE NOTES ON
ANALYTICS AND DATA MEASUREMENT
TECHNIQUES | LATEST UPDATE WITH
COMPLETE SOLUTIONS|| GRADED A+
Purpose of Analytics -CORRECTANSWER Companies use Analytics (statistical and
quantitative analysis) to develop a complete portrait of customers to attract and retain
them.
Prescriptive Analytics -CORRECTANSWER Used to determine the best possible
decision to pursue, such as maximizing factory output while minimizing labor costs.
Systematic Error -CORRECTANSWER A constant error within a dataset often caused
by faulty equipment or bias.
Measurement Bias -CORRECTANSWER Occurs when a sample is not representative
of the population, such as testing only one region for a national standard.
Omission Error -CORRECTANSWER Occurs when certain groups are excluded, such
as conducting a survey only in English for a non-English speaking population.
Big Data -CORRECTANSWER Characterized by its volume, variety, and complexity; it
requires specialized software and cannot be analyzed with traditional spreadsheets.
, Quantitative Analysis Approach -CORRECTANSWER Framing the problem includes
determining the scope of the problem and reviewing previous findings.
Experimental Studies -CORRECTANSWER Must include defined treatment procedures
and the measurement of experimental responses.
Linear Programming -CORRECTANSWER Used to find the best mix of resources to
minimize costs or maximize profits given specific constraints.
Crossover Analysis -CORRECTANSWER Helps evaluate fixed and variable costs to
select the least costly option among different equipment or methods.
Chi-Square -CORRECTANSWER Used for hypothesis testing when dealing with
nominal or categorical data.
ANOVA -CORRECTANSWER Used to compare the means of three or more groups.
Multiple Regression -CORRECTANSWER Used to forecast a variable based on
multiple independent factors, such as forecasting sales based on both price discounts
and ads.
ANALYTICS AND DATA MEASUREMENT
TECHNIQUES | LATEST UPDATE WITH
COMPLETE SOLUTIONS|| GRADED A+
Purpose of Analytics -CORRECTANSWER Companies use Analytics (statistical and
quantitative analysis) to develop a complete portrait of customers to attract and retain
them.
Prescriptive Analytics -CORRECTANSWER Used to determine the best possible
decision to pursue, such as maximizing factory output while minimizing labor costs.
Systematic Error -CORRECTANSWER A constant error within a dataset often caused
by faulty equipment or bias.
Measurement Bias -CORRECTANSWER Occurs when a sample is not representative
of the population, such as testing only one region for a national standard.
Omission Error -CORRECTANSWER Occurs when certain groups are excluded, such
as conducting a survey only in English for a non-English speaking population.
Big Data -CORRECTANSWER Characterized by its volume, variety, and complexity; it
requires specialized software and cannot be analyzed with traditional spreadsheets.
, Quantitative Analysis Approach -CORRECTANSWER Framing the problem includes
determining the scope of the problem and reviewing previous findings.
Experimental Studies -CORRECTANSWER Must include defined treatment procedures
and the measurement of experimental responses.
Linear Programming -CORRECTANSWER Used to find the best mix of resources to
minimize costs or maximize profits given specific constraints.
Crossover Analysis -CORRECTANSWER Helps evaluate fixed and variable costs to
select the least costly option among different equipment or methods.
Chi-Square -CORRECTANSWER Used for hypothesis testing when dealing with
nominal or categorical data.
ANOVA -CORRECTANSWER Used to compare the means of three or more groups.
Multiple Regression -CORRECTANSWER Used to forecast a variable based on
multiple independent factors, such as forecasting sales based on both price discounts
and ads.
