Problem 63
Question
63-64. GENERAL: College Tuition The following graph shows the average annual college tuition costs (tuition and fees) for a year at a private nonprofit or public fouryear college. The data are given for five-year intervals. The tuition for a private college is approximated by the function \(f(x)=650 x^{2}+3000 x+12,000\), where \(x\) is the number of five-year intervals since the academic year \(1995-96\) (so the years in the graph are numbered \(x=0\) through \(x=3\) ). a. Use this function to predict tuition in the academic year 2020-21. [Hint: What \(x\) -value corresponds to that year?] b. Find the derivative of this function for the \(x\) -value that you used in part (a) and interpret it as a rate of change in the proper units. c. From your answer to part (b), estimate how rapidly tuition will be increasing per year in \(2020-21\).
Step-by-Step Solution
VerifiedKey Concepts
Polynomial Functions
Here, each term of the function plays a specific role:
- \( 650x^2 \): The quadratic term, which suggests that the tuition cost increases quadratically over time.
- \( 3000x \): The linear term signifies a consistent rate of tuition increase.
- \( 12,000 \): The constant term indicates the base cost of tuition in the starting year (1995-96).
Derivative Calculation
For our function:
- The derivative of \( 650x^2 \) using the power rule (multiply the exponent by the coefficient and reduce the exponent by one) is \( 1300x \).
- The derivative of \( 3000x \) is simply the coefficient \( 3000 \) because the derivative of \( x \) is 1.
- The derivative of a constant \( 12,000 \) is zero since constants do not change.
Rate of Change in Economics
In our context, calculating the derivative gives the rate of change in tuition per five-year interval, which was found to be \( \\(9500 \). To understand its effect annually, divide by the number of years in an interval. Thus, we conclude the tuition cost increases by about \( \\)1900 \) per year around 2020-21.
This simple derivative calculation offers a snapshot of how tuition fees might trend based on historical patterns, highlighting the importance of calculus in economic decision-making and planning.