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Use the Table Below to Answer the Following Questions) -Calculate the Total Revenue During the Discount Sales Period

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Use the table below to answer the following questions) .
Fiberia Accessories, a clothing retailer, is planning to introduce a new line of sweaters as part of the winter collection for $65 with an inventory of 1500. The main selling season is 60 days between November and December. The store then sells the remaining units in a clearance sale at 65 percent discount. Out of the 60 main retail days, Fiberia sells the sweaters at full retail price for only 45 days, while giving a discount of 25 percent for the remaining 15 days. The demand functions a, and b are given as 79.5 and 1.1 respectively.  Marked Dawn PricingModel for  Fiberin Accessaries’s nev sweater  Data  Retail Price $65 Inventary 1500 SellingSensan days)  60 Days at Full Retail 45 Intermediate Markdawn 25 percent  Clearance Markdawn 65 percent  Demand Function  A 79.5 B 1.1\begin{array} { | l | l | } \hline \text { Marked Dawn PricingModel for } & \\ \text { Fiberin Accessaries's nev sweater } & \\\hline & \\\hline \text { Data } & \\\hline & \\\hline \text { Retail Price } & \$ 65 \\\hline \text { Inventary } & 1500 \\\hline \text { SellingSensan days) } & 60 \\\hline \text { Days at Full Retail } & 45 \\\hline \text { Intermediate Markdawn } & 25 \text { percent } \\\hline \text { Clearance Markdawn } & 65 \text { percent } \\\hline \text { Demand Function } & \\\hline \text { A } & 79.5 \\\hline \text { B } & 1.1 \\\hline\end{array}
-Calculate the total revenue during the discount sales period.

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Definitions:

Population Proportion

The fraction or percentage of individuals in a population who possess a particular attribute or characteristic.

Critical Value

A point on the scale of the test statistic beyond which we reject the null hypothesis; it marks the boundary for deciding whether a statistic is significant.

Type II Error

A statistical error occurring when a hypothesis test fails to reject a false null hypothesis.

Null Hypothesis

A statement in statistics that proposes there is no significant difference or effect, serving as the default assumption to be tested against experimental data.

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