Math Problem Statement
Magazine Sales Our new magazine initially sells 300 copies per month. Research indicates that a vigorous advertising campaign could increase sales by 20% each month if our market were unlimited. But research also indicates that magazine sales in our area are unlikely to exceed 1200 per month. Make a logistic model of projected magazine sales.
Solution
To model the magazine sales, we can use a logistic growth model. This model is suitable here because it allows for an initial growth rate that eventually levels off as the sales approach a maximum, or "carrying capacity," due to market limitations.
Setting Up the Logistic Model
The logistic growth model is typically given by:
where:
- is the sales projection at time (in months),
- is the carrying capacity (maximum possible sales),
- is the initial sales,
- is the growth rate,
- is the time in months.
Given Information
- Initial sales copies per month,
- Carrying capacity copies per month,
- Monthly growth rate without limitation: , which gives us .
Building the Model
Substituting the known values:
Simplification of the Term Inside the Denominator
-
Calculate the ratio :
-
Substituting back, the model becomes:
Final Logistic Model
The projected magazine sales after months is given by:
This function models the growth of magazine sales, accounting for both the initial increase in sales due to advertising and the market saturation at 1200 copies.
Would you like a breakdown of the calculation steps or have any other questions?
- How does the logistic model behave as ?
- What would the model predict for sales after 6 months?
- How does changing the growth rate impact the logistic model?
- If the carrying capacity increased to 1500, how would the model change?
- What if the initial sales were only 200 copies?
Tip: Logistic models are often used in scenarios with growth limitations due to resource constraints or market saturation.
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Math Problem Analysis
Mathematical Concepts
Logistic Growth Model
Exponential Decay
Limits and Carrying Capacity
Formulas
Logistic Growth Model: S(t) = K / (1 + (K - S_0) / S_0 * e^(-rt))
Simplified Logistic Model for this problem: S(t) = 1200 / (1 + 3 * e^(-0.20t))
Theorems
Logistic Growth Theorem
Suitable Grade Level
Grades 10-12