WGU Data Driven Decision Making - C207 Study Guide Review
Exam with Questions and Rationalized Answers
1. Activities (RBM stage): second step involves the process that converts inputs to
outputs (actions necessary to produces results - training, evaluating, developing)
2. Alternative hypothesis: The argument that either a sample is not equal to,
greater than, or less than the hypothesized null sample
3. Analysis of Variance (ANOVA): a technique used to determine if there is a
sufficient evidence from sample data of three or more populations to conclude that
the means of the population are not all equal
4. Analytics: The discovery, analysis, and communication of meaningful patterns in
data.
5. Autocorrelation: A relationship between two variables that is inherently non-lin-
ear
6. Balanced Scorecard: An approach using multiple measures to evaluate perfor-
mance, including financial measures, and the non-financial measures of customers,
internal business processes, and learning and growth.
7. Bar chart: A graph that measures the distribution of data over discrete groups or
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,categories.
8. Benchmarks: Standards or points of reference for an industry or sector that can be
used for comparison and evaluation.
9. Big Data: very large amounts of data; an all-encompassing term for any collectionof
data sets so large and complex that it becomes difficult to process them using
traditional data processing applications
10. Blind Study: A study performed where the participants are not told if they arein
the treatment group or control group
11. body mass index (BMI): A measure, based on a person's weight and height,that
is used to classify people as underweight or overweight.
12. Business process: A sequence of logically related and time based work activ-
ities to provide a specific output for a customer.
13. Central Limit Theorem: A theorem that states that, the greater the sample, the
closer the mean of the sample is to the entire population and the more the results
will look like a normal distribution
14. Cluster Analysis: The process of arranging terms or values based on different
variables into "natural" groups
15. Cointegration: Occurs when two time series are moving with a common pattern
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, due to a connection between the two time series
16. Combination: The number of different unordered possibilities for a certain
situation.
17. Complement: The occurrence of an event not happening, the opposite
18. Confidence interval: An interval estimate used to indicate reliability
19. Continuous Data: Data that can lay along any point in a range of data
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Exam with Questions and Rationalized Answers
1. Activities (RBM stage): second step involves the process that converts inputs to
outputs (actions necessary to produces results - training, evaluating, developing)
2. Alternative hypothesis: The argument that either a sample is not equal to,
greater than, or less than the hypothesized null sample
3. Analysis of Variance (ANOVA): a technique used to determine if there is a
sufficient evidence from sample data of three or more populations to conclude that
the means of the population are not all equal
4. Analytics: The discovery, analysis, and communication of meaningful patterns in
data.
5. Autocorrelation: A relationship between two variables that is inherently non-lin-
ear
6. Balanced Scorecard: An approach using multiple measures to evaluate perfor-
mance, including financial measures, and the non-financial measures of customers,
internal business processes, and learning and growth.
7. Bar chart: A graph that measures the distribution of data over discrete groups or
1/9
,categories.
8. Benchmarks: Standards or points of reference for an industry or sector that can be
used for comparison and evaluation.
9. Big Data: very large amounts of data; an all-encompassing term for any collectionof
data sets so large and complex that it becomes difficult to process them using
traditional data processing applications
10. Blind Study: A study performed where the participants are not told if they arein
the treatment group or control group
11. body mass index (BMI): A measure, based on a person's weight and height,that
is used to classify people as underweight or overweight.
12. Business process: A sequence of logically related and time based work activ-
ities to provide a specific output for a customer.
13. Central Limit Theorem: A theorem that states that, the greater the sample, the
closer the mean of the sample is to the entire population and the more the results
will look like a normal distribution
14. Cluster Analysis: The process of arranging terms or values based on different
variables into "natural" groups
15. Cointegration: Occurs when two time series are moving with a common pattern
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, due to a connection between the two time series
16. Combination: The number of different unordered possibilities for a certain
situation.
17. Complement: The occurrence of an event not happening, the opposite
18. Confidence interval: An interval estimate used to indicate reliability
19. Continuous Data: Data that can lay along any point in a range of data
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