Through market research, a company finds that it can expect to sell 45 – 5x products if each is priced at 1.25x dollars.

The correct answer and explanation is:

Let’s analyze the problem step-by-step.


Given:

  • Demand function (quantity sold) = 45−5×45 – 5x
  • Price per product = 1.25×1.25x dollars

Here, xx is some variable related to pricing (likely a price factor or a decision variable).


1. Expression for Revenue

Revenue RR is given by: R=(Price per product)×(Number of products sold)R = (\text{Price per product}) \times (\text{Number of products sold})

Substitute the given expressions: R=(1.25x)×(45−5x)=1.25x×(45−5x)R = (1.25x) \times (45 – 5x) = 1.25x \times (45 – 5x)

Simplify: R=1.25x×45−1.25x×5x=56.25x−6.25x2R = 1.25x \times 45 – 1.25x \times 5x = 56.25x – 6.25x^2


2. Interpretation

  • xx affects both the price and the number of units sold.
  • As xx increases, price per product increases (since price = 1.25×1.25x).
  • However, the number sold decreases linearly by 5x5x.
  • The revenue is a quadratic function in xx, opening downward (because the coefficient of x2x^2 is negative: −6.25-6.25), which means it has a maximum point.

3. Finding the Price and Quantity that Maximizes Revenue

To maximize revenue, differentiate R(x)R(x) with respect to xx and set to zero: dRdx=56.25−12.5x=0\frac{dR}{dx} = 56.25 – 12.5x = 0

Solve for xx: 12.5x=56.25  ⟹  x=56.2512.5=4.512.5x = 56.25 \implies x = \frac{56.25}{12.5} = 4.5


4. Calculate optimal price and quantity sold

  • Price:

P=1.25×4.5=5.625 dollarsP = 1.25 \times 4.5 = 5.625 \text{ dollars}

  • Quantity:

Q=45−5×4.5=45−22.5=22.5 unitsQ = 45 – 5 \times 4.5 = 45 – 22.5 = 22.5 \text{ units}


5. Maximum Revenue

Calculate revenue at x=4.5x = 4.5: R=56.25×4.5−6.25×(4.5)2=253.125−126.5625=126.5625 dollarsR = 56.25 \times 4.5 – 6.25 \times (4.5)^2 = 253.125 – 126.5625 = 126.5625 \text{ dollars}


Summary

  • The company’s revenue as a function of xx is:

R=56.25x−6.25x2R = 56.25x – 6.25x^2

  • Revenue is maximized when x=4.5x = 4.5.
  • At this xx, the optimal price per product is $5.63 (rounded), and the expected sales volume is 22.5 units.
  • The maximum revenue achievable is about $126.56.

Explanation (300 words):

The problem describes a company’s expected sales quantity and pricing strategy through a variable xx. The demand function is 45−5×45 – 5x, indicating that as xx increases, fewer products are sold — this models the typical negative relationship between price and quantity demanded. The price per product is 1.25×1.25x, which means the price increases proportionally with xx.

To find total revenue, multiply the number of products sold by the price per product, yielding a quadratic expression: R(x)=56.25x−6.25x2R(x) = 56.25x – 6.25x^2. This quadratic opens downward, indicating that revenue increases with xx up to a point and then decreases. To find the maximum revenue, we differentiate R(x)R(x) with respect to xx and set the derivative to zero. Solving this derivative gives the critical value x=4.5x=4.5.

Substituting x=4.5x=4.5 back into the price and quantity functions gives the price of approximately $5.63 and a sales volume of 22.5 units. This combination maximizes revenue, which is about $126.56.

This analysis helps the company understand the optimal pricing strategy to maximize revenue, balancing the trade-off between increasing prices and decreasing sales volume. Pricing too high will decrease quantity sold excessively, reducing revenue; pricing too low limits revenue per unit. This mathematical model guides strategic pricing decisions to optimize income.

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