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Use a Modern Software Tool to Perform Statistical Calculations -Calculate the Total Number of Units Sold During the Full

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Use a modern software tool to perform statistical calculations.
Use the table below to answer the following question(s) .
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 Down Pricing Model for  Fiberia Accessories’s new sweater Data  Retail Price  Inventory $65 Selling Season (days)  1500 Days at Full Retail 60 Intermediate Markdown 45 Clearance Markdown 25 percent  Demand Function 65 percent  A  B 79.5\begin{array}{|l|l|}\hline\text { Marked Down Pricing Model for } \\\text { Fiberia Accessories's new sweater} \\\hline & \\\hline \text { Data } & \\\hline \text { Retail Price } & \\\hline \text { Inventory } & \$ 65 \\\hline \text { Selling Season (days) } & 1500 \\\hline \text { Days at Full Retail } & 60 \\\hline \text { Intermediate Markdown } & 45 \\\hline \text { Clearance Markdown } & 25 \text { percent } \\\hline \text { Demand Function } & 65 \text { percent } \\\hline \text { A } & \\\hline \text { B } & 79.5 \\\hline\end{array}
-Calculate the total number of units sold during the full retail sales period.


Definitions:

Standard Error

A statistical measure that quantifies the amount of variability or dispersion of a sample mean relative to the true population mean.

Normal Population

A population in which the distribution of variables follows a normal (Gaussian) distribution, characterized by a symmetric bell-shaped curve.

Standard Error

A statistic that measures the dispersion of sample means around the population mean, indicative of the accuracy of the sample mean as a representation of the population mean.

Random Variable

A variable characterized by numerical outcomes derived from phenomena of chance.

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