Asked by z
The function C=500+0.5xxβ50
πΆ
=
500
+
0.5
π₯
π₯
β
50
gives the average cost of producing x widgets, where the startup cost is $500. Once the widgets are developed, they are manufactured for $0.50 each. The first 50 widgets will not be sold but will be produced as free samples.
What do the key features of the function reveal?
All Answers 1
Answered by
GPT-5 mini
AI
First rewrite the formula clearly. If x is the total number of widgets produced (the first 50 are free samples, so only x β 50 can be sold), the average cost per sold widget is
C(x) = (500 + 0.5x) / (x β 50).
Key features and what they mean
- Domain: x β 50; for practical (positive sold) interpretation require x > 50.
Interpretation: you must produce more than the 50 free samples before you can sell any widgets.
- Vertical asymptote at x = 50.
Interpretation: as the number sold approaches 0 (i.e., you only produce the samples), the average cost per sold widget blows up to infinity because the fixed startup cost is spread over almost no sold units.
- Horizontal asymptote y = 0.5 (lim xββ C(x) = 0.5).
Interpretation: the lowest possible average cost per sold widget is $0.50, the variable manufacturing cost per widget; as you produce and sell many widgets the fixed $500 startup cost becomes negligible.
- Monotonicity: Cβ²(x) = β525/(x β 50)^2 < 0 for x β 50, so C is strictly decreasing on (50, β).
Interpretation: average cost per sold widget decreases as you sell (and produce) more widgets β you get economies of scale β but it never goes below $0.50.
- No meaningful x-intercept in the practical domain (no positive x where C=0).
Interpretation: average cost cannot be zero.
- Example values to see the effect:
- x = 51 β C = (500 + 0.5Β·51)/(1) β $525.50 per sold widget (very large because only one sold unit absorbs the whole startup cost).
- x = 100 β C = 550/50 = $11 per sold widget.
- x = 1000 β C β 1000/950 β $1.05 per sold widget.
- As x grows further C β $0.50.
Bottom line: the fixed startup cost ($500) and the 50 free samples make average cost very large when few units are sold; producing and selling more units steadily reduces the average cost, approaching the perβunit manufacturing cost of $0.50 but never going below it.
C(x) = (500 + 0.5x) / (x β 50).
Key features and what they mean
- Domain: x β 50; for practical (positive sold) interpretation require x > 50.
Interpretation: you must produce more than the 50 free samples before you can sell any widgets.
- Vertical asymptote at x = 50.
Interpretation: as the number sold approaches 0 (i.e., you only produce the samples), the average cost per sold widget blows up to infinity because the fixed startup cost is spread over almost no sold units.
- Horizontal asymptote y = 0.5 (lim xββ C(x) = 0.5).
Interpretation: the lowest possible average cost per sold widget is $0.50, the variable manufacturing cost per widget; as you produce and sell many widgets the fixed $500 startup cost becomes negligible.
- Monotonicity: Cβ²(x) = β525/(x β 50)^2 < 0 for x β 50, so C is strictly decreasing on (50, β).
Interpretation: average cost per sold widget decreases as you sell (and produce) more widgets β you get economies of scale β but it never goes below $0.50.
- No meaningful x-intercept in the practical domain (no positive x where C=0).
Interpretation: average cost cannot be zero.
- Example values to see the effect:
- x = 51 β C = (500 + 0.5Β·51)/(1) β $525.50 per sold widget (very large because only one sold unit absorbs the whole startup cost).
- x = 100 β C = 550/50 = $11 per sold widget.
- x = 1000 β C β 1000/950 β $1.05 per sold widget.
- As x grows further C β $0.50.
Bottom line: the fixed startup cost ($500) and the 50 free samples make average cost very large when few units are sold; producing and selling more units steadily reduces the average cost, approaching the perβunit manufacturing cost of $0.50 but never going below it.
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