Example 1.
Calculate the derivative of the function g(x)=x∫1√t3+4tdt at x=2.
Solution.
We apply the Fundamental Theorem of Calculus, Part 1:
g′(x)=ddx⎛⎝x∫af(t)dt⎞⎠=f(x).
Hence
g′(x)=ddx⎛⎜⎝x∫1√t3+4tdt⎞⎟⎠=√x3+4x.
Substituting x=2 yields
g′(2)=√23+4⋅2=√16=4.
If f is a continuous function on [a,b], then the function g defined by
g(x)=x∫af(t)dt,a≤x≤b
is an antiderivative of f, that is
g′(x)=f(x)orddx⎛⎝x∫af(t)dt⎞⎠=f(x).
If f happens to be a positive function, then g(x) can be interpreted as the area under the graph of f from a to x.
Create a numerical example in a three security/two state model and illustrate the proof of the...
3 22. Provide three separate numerical example and demonstrate how to compute price-elasticity, income-elasticity, and cross-elasticity of demand 23. Provide two different demand lines and demonstrate which one is more elastic 24. Explain the meaning of each of the following a) Absolute value of price elasticity of demand for gasoline is 0.28 in the short-run but 0.58 in the long-run. What explains the difference? b) Income-elasticity of demand for potatoes is +2.3. What kind of good (normal or inferior) potatoes...
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For this assignment your job is to create a two class
application that examines the concept of a numerical
palindrome.
A numerical palindrome is a non-negative whole number that is the
same forwards and backwards, e.g. 2332, 12321, etc. Here's the
catch: suppose you do the following. Start with any positive whole
number. If it's a palindrome, you're done; if it isn't, reverse the
number, add the reversal to the original value, and test this new
result. It it's a...
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The following ANOVA model is for a multiple regression model
with two independent variables:
Degrees
of
Sum
of
Mean
Source
Freedom
Squares
Squares
F
Regression
2
60
Error
18
120
Total
20
180
Determine the Regression Mean Square (MSR):
Determine the Mean Square Error (MSE):
Compute the overall Fstat test statistic.
Is the Fstat significant at the 0.05 level?
A linear regression was run on auto sales relative to consumer
income. The Regression Sum of Squares (SSR) was 360 and...