Questions: If the store wants to maximize exposure, it should use:
? newspaper ads, ? radio ads, and ? TV ads
How many people will be reached in total?
Transcript text: If the store wants to maximize exposure, it should use:
? newspaper ads, ? radio ads, and ? TV ads
How many people will be reached in total?
Solution
Solution Steps
To solve this problem, we need to maximize the total exposure given the constraints on the budget and the number of ads. We can set up a linear programming problem where the objective function is to maximize the total number of people reached. The constraints will include the budget limit and the maximum number of ads allowed for each type.
Define variables for the number of newspaper and TV ads.
Set up the objective function to maximize the total exposure.
Add constraints for the budget and the maximum number of ads.
Use a linear programming solver to find the optimal number of each type of ad.
Step 1: Define Variables
Let \( x \) be the number of newspaper ads and \( y \) be the number of TV ads.
Step 2: Set Up the Objective Function
The objective is to maximize the total exposure, given by:
\[
\text{Total Exposure} = 3500x + 20000y
\]
Step 3: Establish Constraints
The constraints based on the budget and limits are:
Budget constraint: \( 100x + 500y \leq 3000 \)
Newspaper ad limit: \( x \leq 40 \)
TV ad limit: \( y \leq 12 \)
Step 4: Solve the Problem
From the solution, we find:
\( x = 0 \) (number of newspaper ads)
\( y = 6 \) (number of TV ads)
Step 5: Calculate Total Exposure
Substituting the values into the total exposure formula:
\[
\text{Total Exposure} = 3500(0) + 20000(6) = 120000
\]
Final Answer
The optimal solution is:
Newspaper ads: \( 0 \)
TV ads: \( 6 \)
Total exposure: \( 120000 \)
Thus, the final answer is:
\[
\boxed{0 \text{ newspaper ads, } 6 \text{ TV ads, total exposure } 120000}
\]