Use the Table Below to Answer the Following Question(s) Use a Linear Optimization Model Based on the Data to Luthiers

question 8

Multiple Choice

Use the table below to answer the following question(s) .
Pickson Luthiers Corporation makes four models of electric guitars, ScarCT, Dela Mort, Warax, and Invazen. Each guitar must flow through five departments, assembly, painting, sound testing, inspection, and packaging. The table below shows the relevant data. Production rates are shown in units/hour. (ScarCT is assembled elsewhere) . Pickson wants to determine how many guitars to make to maximize monthly profit. $\begin{array}{|l|l|l|l|l|l|}\hline \begin{array}{l}\text { Pickson Luthiers } \\\text { Corporation }\end{array} & & & & & \\\hline & & & & & \\\hline \text { Data } & & & & & \\\hline \text { Guitar Model } & \begin{array}{l}\text { Selling } \\\text { price/Unit }\end{array} & \begin{array}{l}\text { Variable } \\\text { cost/Unit }\end{array} & \text { Min Sales } & \text { Max Sales } \\\hline \text { ScarCT } & 750.00 & 660.00 & 0 & 2500 \\\hline \text { Dela Mort } & 788.00 & 680.00 & 0 & 2000 \\\hline \text { Warax } & 800.00 & 700.00 & 100 & 1000 \\\hline \text { Invazen } & 850.00 & 800.00 & 80 & 500 \\ \hline & & & & \\\hline \begin{array}{l}\text { Production rates } \\\text { (units/hour) }\end{array} & \text { ScarCT } & \text { Dela Mort } & \text { Warax } & \text { Invazen } & \text { Hours } \\&&&&&\text { Available } \\\hline \text { Assembly } & - & 35 & 25 & 20 & 220 \\\hline \text { Painting } & 35 & 20 & 15 & 10 & 220 \\\hline \text { Sound Testing } & 20 & 10 & 20 & 18 & 220 \\\hline \text { Inspection } & 10 & 12 & 8 & 5 & 220 \\\hline \text { Packaging } & 9 & 10 & 5 & 8 & 220 \\\hline\end{array}$ Use a linear optimization model based on the data to answer the following question.
-According to the linear optimization model, what is the total profit contribution by the Invazen model?

• A) $205,200
• B) $20,000
• C) $10,000
• D) $4,000

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Definitions:

Null Hypothesis

A hypothesis that assumes no significant difference or relationship between variables, serving as the default position that indicates no effect or change.

Chi-Square Value

A statistic that measures the difference between observed frequencies and the frequencies expected under a specific hypothesis.

Observed Frequency

The actual count of instances or occurrences of a particular category or outcome in a set of data.

Expected Frequency

The number of times an outcome is predicted to occur in a statistical experiment, based on the probabilities of each outcome.