1. WGU C207 Data Driven Decision Making
2.
3. 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.
4. Variance: How far a set of numbers are spread. Used for Data set. Hint Words =
Risk, spread.
5. Multiplication Rule: A method for finding the probability that both of two events
occur. When the probabilities of multiple events are multiplied together to determine
the likelihood of all of the events happening. Word Hint: And
6. Addition Rule: A method for finding the probability that either or both of two
events occur. When two events, A and B, are mutually exclusive, the probability that
A or B will occur is the sum of the probability of each event. Word Hint: Either/or.
7. Combination Rule: How many combinations can be made.
8. Bayes Theorem: Probability of an event , based on conditions that might be
related to the event. Conditional probability. A formula that calculates conditional
probabilities. Important for understanding how new information affects the probabil-
ities of outcomes. Word Hint: Given that.
9. Median: Number halfway into the data set. Hint Word: Typical
10. Mode: Number that occurs most often in a data set.
11. Mean: Average. Add all numbers and divide.
12. Standard Deviation: How spread out the numbers are. Square root of the
variance.
13. Pareto Chart: Contains both line and bar graphs. Ordered by frequency of
occurrence that shows how many results were generated by each identified cause.
14. Cause and Effect Diagram: Shows the causes of a specific event.
15. Check Sheet: Collect data in real time.
16. Control Chart: Determines whether a process should undergo a formal exam
for quality.
17. Histogram: Graph representing the distribution of numeric data. Measures how
continuous data is distributed over various ranges. Example: Displays how many
people fall in various ranges of height.
18. Scatter Diagram: A graphic that uses dots to show relationships or correlations
between variables
19. Flow/Run Chart: Shows the workflow process
20. Bar Chart: Graph of schedule-related info. Example: Measures how many peo-
ple are from each state.
21. Box - Plot: Used while studying the composition of a data set to examine
the distribution (non - parametric data) uses median and percentiles rather than
averages. (Look for Spread and Median.)
1/6
, 22. Dependent Variable: Dependent upon the Independent variable
2/6
2.
3. 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.
4. Variance: How far a set of numbers are spread. Used for Data set. Hint Words =
Risk, spread.
5. Multiplication Rule: A method for finding the probability that both of two events
occur. When the probabilities of multiple events are multiplied together to determine
the likelihood of all of the events happening. Word Hint: And
6. Addition Rule: A method for finding the probability that either or both of two
events occur. When two events, A and B, are mutually exclusive, the probability that
A or B will occur is the sum of the probability of each event. Word Hint: Either/or.
7. Combination Rule: How many combinations can be made.
8. Bayes Theorem: Probability of an event , based on conditions that might be
related to the event. Conditional probability. A formula that calculates conditional
probabilities. Important for understanding how new information affects the probabil-
ities of outcomes. Word Hint: Given that.
9. Median: Number halfway into the data set. Hint Word: Typical
10. Mode: Number that occurs most often in a data set.
11. Mean: Average. Add all numbers and divide.
12. Standard Deviation: How spread out the numbers are. Square root of the
variance.
13. Pareto Chart: Contains both line and bar graphs. Ordered by frequency of
occurrence that shows how many results were generated by each identified cause.
14. Cause and Effect Diagram: Shows the causes of a specific event.
15. Check Sheet: Collect data in real time.
16. Control Chart: Determines whether a process should undergo a formal exam
for quality.
17. Histogram: Graph representing the distribution of numeric data. Measures how
continuous data is distributed over various ranges. Example: Displays how many
people fall in various ranges of height.
18. Scatter Diagram: A graphic that uses dots to show relationships or correlations
between variables
19. Flow/Run Chart: Shows the workflow process
20. Bar Chart: Graph of schedule-related info. Example: Measures how many peo-
ple are from each state.
21. Box - Plot: Used while studying the composition of a data set to examine
the distribution (non - parametric data) uses median and percentiles rather than
averages. (Look for Spread and Median.)
1/6
, 22. Dependent Variable: Dependent upon the Independent variable
2/6
