Derivatives, Revenue Function, Maximizing Profit - Lemonade Stand
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Data:
regression equation: y= -100x + 250
regression coefficient: r= -1
X Y Predicted value
0.25 225 225
0.5 200 200
0.75 175 175
1 150 150
1.25 125 125
1.5 100 100
1.75 75 75
2 50 50
2.25 25 25
2.5 0 0
A. Create a function to determine how much revenue you will make at each price you charge. This is done by multiplying the price times your function. For example if your function is Cups Sold = 1000 - 100*Price, your revenue function would be Price*(1000 - 100*Price). For simplicity sake, you can write Price as "P".
B. What is the derivative of your revenue function?
C. Create a table (you can use Excel) with each of the columns:
1. The prices from the data above
2. The revenue you will make at each price
3. The value of the derivative at each price
D. At what price is your revenue maximized
E. What is the value of the derivative when you are charging more than the revenue maximizing price? How about when you are charging less? Based on this, how would you use the derivative to help you decide how much to charge for a cup of lemonade?
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Solution Summary
Derivatives, Revenue Function, Maximizing Profit are investigated for a lemonade stand. The solution is detailed and well presented.
Education
- BSc , Wuhan Univ. China
- MA, Shandong Univ.
Recent Feedback
- "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
- "excellent work"
- "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
- "Thank you"
- "Thank you very much for your valuable time and assistance!"
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