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WGU C207 Data Driven Decision Making complete compilation bundle 2023/24
WGU C207 Data Driven Decision Making complete compilation bundle 2023/24
[Show more]WGU C207 Data Driven Decision Making complete compilation bundle 2023/24
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Add to cartWGU Data Driven Decision Making - C207
For companies to attract and retain their best customers they need a complete portrait of who they are. To develop this portrait companies turn to... 
a. Statistics 
b. Analytics 
c. Management Science 
d. Histograms 
b 
 
 
 
A manufacturer wants to maximize their factory output while specifically ...
Preview 3 out of 23 pages
Add to cartFor companies to attract and retain their best customers they need a complete portrait of who they are. To develop this portrait companies turn to... 
a. Statistics 
b. Analytics 
c. Management Science 
d. Histograms 
b 
 
 
 
A manufacturer wants to maximize their factory output while specifically ...
What is the key focus on analysis? 
To predict trends using quantitative data. 
 
 
What are the four levels of measurement? 
1. Nominal 
2. Ordinal 
3. Interval 
4. Ratio 
 
 
Nominal data 
is categorical. It has no numerical value. It's not a number. 
Examples: 
-the types of pizza you sell 
-mea...
Preview 4 out of 36 pages
Add to cartWhat is the key focus on analysis? 
To predict trends using quantitative data. 
 
 
What are the four levels of measurement? 
1. Nominal 
2. Ordinal 
3. Interval 
4. Ratio 
 
 
Nominal data 
is categorical. It has no numerical value. It's not a number. 
Examples: 
-the types of pizza you sell 
-mea...
Descriptive 
Past data only; Not predicting or optimizing 
 
 
 
Predictive 
Past to predict the future; Predicting, no optimizing 
 
 
 
Prescriptive 
Past to predict the future and optimizing 
 
 
 
Omission 
Missing information 
 
 
 
Out of Range 
Doesn't match the data or not true 
 
 
 
Relia...
Preview 2 out of 13 pages
Add to cartDescriptive 
Past data only; Not predicting or optimizing 
 
 
 
Predictive 
Past to predict the future; Predicting, no optimizing 
 
 
 
Prescriptive 
Past to predict the future and optimizing 
 
 
 
Omission 
Missing information 
 
 
 
Out of Range 
Doesn't match the data or not true 
 
 
 
Relia...
Z-Score 
Data points only. Measurement of a scores relationship to the mean. A statistical measure that indicates the number of standard deviations a data point is from its mean. 
 
 
 
Variance 
How far a set of numbers are spread. Used for Data set. Hint Words = Risk, spread. 
 
 
 
Multiplication...
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Add to cartZ-Score 
Data points only. Measurement of a scores relationship to the mean. A statistical measure that indicates the number of standard deviations a data point is from its mean. 
 
 
 
Variance 
How far a set of numbers are spread. Used for Data set. Hint Words = Risk, spread. 
 
 
 
Multiplication...
Define analytics 
Turning information into knowledge and developing fact based strategies to gain a competitive edge. 
 
 
Descriptive/Diagnostic analytics 
Encompasses the set of techniques that describes what has happened in the past. 
 
 
 
Predictive analytics 
Consists of techniques that use mo...
Preview 2 out of 10 pages
Add to cartDefine analytics 
Turning information into knowledge and developing fact based strategies to gain a competitive edge. 
 
 
Descriptive/Diagnostic analytics 
Encompasses the set of techniques that describes what has happened in the past. 
 
 
 
Predictive analytics 
Consists of techniques that use mo...
For companies to attract and retain their best customers they need a complete portrait of who they are. To develop this portrait companies turn to 
Analytics 
 
 
 
A manufacturer wants to maximize their factory output while specifically minimizing labor costs. What type of analytics might they empl...
Preview 2 out of 9 pages
Add to cartFor companies to attract and retain their best customers they need a complete portrait of who they are. To develop this portrait companies turn to 
Analytics 
 
 
 
A manufacturer wants to maximize their factory output while specifically minimizing labor costs. What type of analytics might they empl...
Analytics is a broad term that refers to a variety of tools that inform managerial decisions.Which term can be used to describe managerial decisions? 
Prescriptive 
 
 
 
What are two reasons for the increasing use of analytics in organizational decision-making? 
Relatively lower cost of computer st...
Preview 2 out of 9 pages
Add to cartAnalytics is a broad term that refers to a variety of tools that inform managerial decisions.Which term can be used to describe managerial decisions? 
Prescriptive 
 
 
 
What are two reasons for the increasing use of analytics in organizational decision-making? 
Relatively lower cost of computer st...
Descriptive and Inferential 
There are two types of statistics (Analytics) 
 
 
 
Inform / Explanatory 
Descriptive statistics are used to ______ 
 
 
 
Predict / Trend 
Inferential statistics are used to ______ 
 
 
 
(NOIR) Nominal, Ordinal, Interval Ratio 
Name the 4 levels of measurement 
 
 
 
...
Preview 2 out of 8 pages
Add to cartDescriptive and Inferential 
There are two types of statistics (Analytics) 
 
 
 
Inform / Explanatory 
Descriptive statistics are used to ______ 
 
 
 
Predict / Trend 
Inferential statistics are used to ______ 
 
 
 
(NOIR) Nominal, Ordinal, Interval Ratio 
Name the 4 levels of measurement 
 
 
 
...
Analytics is a broad term that refers to a variety of tools that inform managerial decisions. 
Prescriptive 
 
 
 
What are two reasons for the increasing use of analytics in organizational decision making? 
Relatively lower cost of computer storage 
Higher computer processing power 
 
 
 
In what w...
Preview 2 out of 10 pages
Add to cartAnalytics is a broad term that refers to a variety of tools that inform managerial decisions. 
Prescriptive 
 
 
 
What are two reasons for the increasing use of analytics in organizational decision making? 
Relatively lower cost of computer storage 
Higher computer processing power 
 
 
 
In what w...
Amanda is measuring the temperature. She looks at the thermometer and sees that it is somewhere between 65 and 66 degrees Fahrenheit. She is okay with the temperature in between two integers because she knows temperature is not ________ data, but temperature is _________ data. 
Discrete, Continuous ...
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Add to cartAmanda is measuring the temperature. She looks at the thermometer and sees that it is somewhere between 65 and 66 degrees Fahrenheit. She is okay with the temperature in between two integers because she knows temperature is not ________ data, but temperature is _________ data. 
Discrete, Continuous ...
Which of the following is NOT an application of statistics in business? 
 
a Determine the internet advertiser that will reach the most people from extensive page view data. 
b Determine a target market based on information on household incomes throughout the country. 
c Predict trends in certain in...
Preview 3 out of 24 pages
Add to cartWhich of the following is NOT an application of statistics in business? 
 
a Determine the internet advertiser that will reach the most people from extensive page view data. 
b Determine a target market based on information on household incomes throughout the country. 
c Predict trends in certain in...
Analytics is a broad term that refers to a variety of tools that inform managerial decisions. Which term can be used to describe managerial decisions? 
Predictive 
 
 
 
What are two reasons for the increasing use of analytics in organizational decision making? 
Relatively lower cost of computer sto...
Preview 2 out of 11 pages
Add to cartAnalytics is a broad term that refers to a variety of tools that inform managerial decisions. Which term can be used to describe managerial decisions? 
Predictive 
 
 
 
What are two reasons for the increasing use of analytics in organizational decision making? 
Relatively lower cost of computer sto...
Results-based management (RBM)* 
management strategy that uses results as the central measurement of performance 
 
 
 
life-cycle approach 
dynamic, iterative process of incorporating changes in a project (or organization) over time by responding to feedback and adding new technology and new capabi...
Preview 2 out of 5 pages
Add to cartResults-based management (RBM)* 
management strategy that uses results as the central measurement of performance 
 
 
 
life-cycle approach 
dynamic, iterative process of incorporating changes in a project (or organization) over time by responding to feedback and adding new technology and new capabi...
α 
The lower case Greek letter "alpha" 
 
 
β 
The lower case Greek letter "beta" 
 
 
δ 
The lower case Greek letter "delta" 
 
 
γ 
The lower case Greek letter "gamma" 
 
 
θ 
The lower case Greek letter "theta" 
 
 
addition 
In sculpture, the process of adding or combining materia...
Preview 4 out of 67 pages
Add to cartα 
The lower case Greek letter "alpha" 
 
 
β 
The lower case Greek letter "beta" 
 
 
δ 
The lower case Greek letter "delta" 
 
 
γ 
The lower case Greek letter "gamma" 
 
 
θ 
The lower case Greek letter "theta" 
 
 
addition 
In sculpture, the process of adding or combining materia...
Random Errors 
Error in measurement caused by unpredictable statistical fluctuations 
 
 
 
Information Bias 
A prejudice in the data that results when either the respondent or the interviewer has an agenda and is not presenting impartial questions or responding with truly honest responses, respecti...
Preview 4 out of 32 pages
Add to cartRandom Errors 
Error in measurement caused by unpredictable statistical fluctuations 
 
 
 
Information Bias 
A prejudice in the data that results when either the respondent or the interviewer has an agenda and is not presenting impartial questions or responding with truly honest responses, respecti...
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