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SCENARIO 9-1 Microsoft Excel Was Used on a Set of Data Involving

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SCENARIO 9-1
Microsoft Excel was used on a set of data involving the number of defective items found in a random sample of 46 cases of light bulbs produced during a morning shift at a plant.A manager wants to know if the mean number of defective bulbs per case is greater than 20 during the morning shift.She will make her decision using a test with a level of significance of 0.10.The following information was extracted from the Microsoft Excel output for the sample of 46 cases:
SCENARIO 9-1 Microsoft Excel was used on a set of data involving the number of defective items found in a random sample of 46 cases of light bulbs produced during a morning shift at a plant.A manager wants to know if the mean number of defective bulbs per case is greater than 20 during the morning shift.She will make her decision using a test with a level of significance of 0.10.The following information was extracted from the Microsoft Excel output for the sample of 46 cases:    -Referring to Scenario 9-1,the manager can conclude that there is sufficient evidence to show that the mean number of defective bulbs per case is greater than 20 during the morning shift using a level of significance of 0.10.
-Referring to Scenario 9-1,the manager can conclude that there is sufficient evidence to show that the mean number of defective bulbs per case is greater than 20 during the morning shift using a level of significance of 0.10.


Definitions:

Feasible Region

In optimization problems, the set of all possible points that satisfy the constraints, representing solutions that meet the problem's criteria.

Constraints

Limitations or restrictions that impact the options available for decision-making or problem-solving.

Linear Programming

A mathematical methodology for optimizing a linear objective function, subject to linear equality and linear inequality constraints.

Objective Function

A mathematical expression representing the goal of an optimization problem, typically to maximize or minimize some quantity.

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