WGU C207 Objective Assessment (OA)
Exam Coverage
Exam coverage for WGU C207 Objective Assessment (OA) includes
foundational probability and statistics concepts used in business
decision-making and data analysis. It focuses on descriptive statistics,
probability distributions, sampling methods, hypothesis testing,
confidence intervals, regression, and correlation. The exam also
evaluates understanding of data interpretation, statistical significance,
and application of statistical methods to business problems.
Emphasis is placed on analyzing data, drawing conclusions from
statistical results, and applying quantitative reasoning to support
evidence-based decision-making in business and organizational
contexts. 📊📘
,Weighted Index
assign a weight to allow for significant differences in the index.
Reasons for including analytics in decision-making
decrease cost of data storage
increase processing power
,Descriptive Analytics
using current and past data for strictly descriptive purposes.
i.e. car price data shows a 2% increase over the prior year
a manager wants to know why sales spiked during the prior quarter
, Simple indexing
Common analytic measure to improve performance. Compares
current data with data during a base period.
(Price / Price during "Base Period") x 100
i.e. Big Mac was 1.60 in 1968 which is base period. what is index for
2014 if price was 4.80 then?
(4..60) * 100 = 300 (means price is 3x greater than base period)
Used to identify price fluctuations of supplies, materials, products, etc.
Exam Coverage
Exam coverage for WGU C207 Objective Assessment (OA) includes
foundational probability and statistics concepts used in business
decision-making and data analysis. It focuses on descriptive statistics,
probability distributions, sampling methods, hypothesis testing,
confidence intervals, regression, and correlation. The exam also
evaluates understanding of data interpretation, statistical significance,
and application of statistical methods to business problems.
Emphasis is placed on analyzing data, drawing conclusions from
statistical results, and applying quantitative reasoning to support
evidence-based decision-making in business and organizational
contexts. 📊📘
,Weighted Index
assign a weight to allow for significant differences in the index.
Reasons for including analytics in decision-making
decrease cost of data storage
increase processing power
,Descriptive Analytics
using current and past data for strictly descriptive purposes.
i.e. car price data shows a 2% increase over the prior year
a manager wants to know why sales spiked during the prior quarter
, Simple indexing
Common analytic measure to improve performance. Compares
current data with data during a base period.
(Price / Price during "Base Period") x 100
i.e. Big Mac was 1.60 in 1968 which is base period. what is index for
2014 if price was 4.80 then?
(4..60) * 100 = 300 (means price is 3x greater than base period)
Used to identify price fluctuations of supplies, materials, products, etc.
