4.1 Key Terms

1. The value that occurs most frequently.
5. The calculated likelihood that a given event will occur
8. The use of quality control techniques associated with a process
9. A set of all possible outcomes or events in an experiment that cannot be further broken down
10. An activity with observable results
12. A subset of a sample space
13. Amount of difference between a value and the mean
14. Measure of data scatter
15. Numbers or information describing some characteristic
17. a method of monitoring, controlling, and ideally improving a process through statistical analysis. Its four basic steps include measuring the process, eliminating variances in the process to make it consistent, monitoring the process, and improving the process to its best target value.
20. Degree of conformity of a measure to a standard value
21. Values that possess names or labels.
25. Bell-shaped probability distribution
26. The collection, evaluation, and interpretation of data
27. Arithmetic average.
28. Middle value of a set of values arranged in order of magnitude.

1. Measure of variation equal to the sum of the deviations of each value from the mean
2. Categorical data graph %.
3. The probability of an event occurring based upon other event probabilities.
4. Frequency distribution graph.
6. Listing of data values along with their corresponding frequencies
7. Frequency distribution graph
11. The difference between the maximum and minimum dimensions allowed within the design of a product
16. The result of an experiment
18. The square root of the variance.
19. The probability of satisfactory operation of the product in a given environment over a specified time interval.
22. The difference between samples.
23. To monitor and control a process so that the quality of the output/product improves
24. Categorical data graph