Exam 1: Ingredients of Change: Functions an Limits
Exam 1: Ingredients of Change: Functions an Limits50 Questions
Exam 2: Describing Change: Rates47 Questions
Exam 3: Determining Change: Derivatives48 Questions
Exam 4: Analyzing Change: Applications of Derivatives50 Questions
Exam 5: Accumulating Change: Limits of Sums and the Definite Integral50 Questions
Exam 6: Analyzing Accumulated Change: Integrals in Action51 Questions
Exam 7: Ingredients of Multivariable Change: Models, Graphs, Rates46 Questions
Exam 8: Analyzing Multivariable Change: Optimization50 Questions
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Use properties of limits and algebraic methods to find the limit, if it exists. 
(Multiple Choice)
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Find the period of the following function. Round to two decimal places. 
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Find the amplitude of the following function. Round to two decimal places. 
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In 1996, the population of a country was estimated at 4 million. For any subsequent year the population
in millions is
where t is the number of years since 1996. Use a graphing calculator to estimate the population in 2005.
(Multiple Choice)
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Write a linear model for the given rate of change and initial output value. The cost to produce plastic toys increases by 10 cents per toy produced. The fixed cost is 90 dollars.
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Find the equation of the quadratic function that is the best fit for the given data. 
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Write the product of the two functions. Evaluate the constructed function at 2. 
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The table below gives the normal daily mean temperatures, based on a 30-year period 1961 through 1990, for a certain city. Use the data to estimate the period. 
(Multiple Choice)
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Numerically estimate the limits. Show the numerical estimation table.
start
, increment
estimate to the nearest integer.
(Multiple Choice)
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Some populations of animals exhibit periodic behavior over time. During the 1960s and 1970s, two scientists carefully studied the population of the Carabid beetle in a region of the Netherlands. Assume that the table below shows the results from their study. Without the aid of technology, choose the sine model which is the most reasonable fit to data, where x is the number of years since 1964. 
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