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Using the Fourier transform integral, find Fourier transforms of the following signals.
Find A1 such that f1(t) is normalized to unity on (0, infinity). Call this function PHI_1(t).
Forecast the annual maintenance cost for a police car that is 5 years old and will be driven 10,000 miles in 1 year.
If the company does not sell a single e-reader, how much is lost in sales? Mathematically, what is this value called in the equation?
We use the Fourier expansions of certain poynomial functions to compute the sum of some useful numerical series.
Show that this series can be differentiated term by term to yield the Fourier expansion of f'(x) on [-1,1].
A manager wishes to determine the relationship between the number of miles (in hundreds of miles) the manager's sales representatives travel per month .
Given the function below: Expand the function in an Fourier integral and determine what this integral converges to.
Find the exponential Fourier series for x(t), y(t) and z(t). In each of three cases it is not necessary to do any integration.
Expand the function in a sine-cosine series and Computer plot on the interval.
What is the Fourier Transform for the convolution of sin(2t)*cos(2t) .
Describe the general behavior of the solution over time: what happens?
How might a regression analysis be used to formulate strategies?
Take your data and arrange it in the order you collected it. Count the total number of observations you have, and label this number N.
In a regression model, if every sample point is on the regression line (all errors are 0), then a. the correlation coefficient would be 0.
If every sample data point were on the regression line, which of the following would be true?
We are interested in determining whether or not the variances of the sales at two small grocery stores are equal.
Divide your data in half, your first 8 observations and your last 7 observations.
What is the 95% confidence interval for the death rate for a speed limit of 60 miles per hour? What conclusion is possible using this interval?
In the 1980s, the Northern white rhinoceros population decreased by 485 from what it was in the 1970s.
For the regression model in part a), find the (unweighted) least squares estimate of ß using this data. Explain the meaning of this value.
Determine which explanatory variable has a significant relationship with sales (Y) using the 5% significance level.
What factors other than admission price influence annual attendance and thus should be considered in the forecast?
When applied a quadratic term on fertilizer and performed the quadratic regression analysis, what is b2?
Find the equation of the regression line for the given data. Predict the value of Y when X=-2? Predict the value of Y when X = 4?