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1. The following g is differentiable, and the tangent line to the graph of y = g (x) at x = -5 is y = 3x - 2.
Let f(x) = 2g (x) + 4x + 3. Give f(-5)
2. Suppose f(x) is an invertible differentiable function and the graph of f passes through the points (4, 2) and (2, 4). The slope of the tangent line to the graph of f at x = 2 is 5/8
Find (f-1) (4)
3. The function g is differentiable, and the tangent line to the graph of y = g(x) at x = -5 is y = 3x - 2. Let f(x) = 2g (x) + 4x + 3.
Give f (-5)
Calculate both sides of the Markov and Chebyshev inequalities as functions of x > 0 - Use the inverse transform method to simulate 100 realisations of X and plot on the same graph.
Of the 60 participants, 16 preferred cupcakes, 26 preferred candy bars, and 18 favored dried apricots. Do these scores suggest that the different foods are differentially preferred by people in general? (Use the .05 significance level.)
Draw a State Diagram Mealy and check for redundancies and then assign binary State Identifiers.
When discuss the interaction effect with a significant level of 0.05, we see there is _____
problem 1 let fr-gtr be a function fxx if xgt0 x-1 if xlt0evaluate whether f isa u-u continuous.b c-c
The validity of results from independent t or one-way ANOVA rests on which assumption?
Using the results from part (c) and the range rule of thumb, indentify the range of usual value.
Hypotheses - List the statistical notation and written explanations for the null and alternative hypotheses for the study. Variables - Identify the variables and each of their attributes: discrete or continuous, quantitativ..
1. A retail store manager with Petrie Stores, Inc, wants to develop a multiple regression model to predict the amount of sales of a product per month Y from monthly advertising expenditures X1 and whether the month was December (coded 1) or anothe..
Solve differential equation of d 2 h /dx 2 =0 using the Galerkin method and considering 0 ≤ x ≤ 3 given that: h = 0 cm when x = 0 m and h = 10 cm when x = 3 m .
Compute an eigenvector for each of the eigenvalues found in part (a). Be sure to scale the eigenvectors so that each is a unit vector (i.e., vT.v = 1 for each eigenvector v).
Given the simple regression model, Y=Beta0 + beta0 X and the regression results follow, test the null hypothesis that the slope coefficient is 0 versus the alternative hypothesis of greater than 0 using the probability of type 1 error equal to 0,0..
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