[SOLVED] Find the critical F-value for a

> (a). Write formulas for the unit normal and binormal vectors of a smooth space curve r(t). (b). What is the normal plane of a curve at a point? What is the osculating plane? What is the osculating circle?

> State Kepler’s Laws.

> Find the velocity and position vectors of a particle that has the given acceleration and the given initial velocity and position. a(t) = 2 i + 2t k, v (0) = 3 i - j, r (0) = j + k

> (a). How do you find the velocity, speed, and acceleration of a particle that moves along a space curve? (b). Write the acceleration in terms of its tangential and normal components

> Find an equation of the tangent plane to the given surface at the specified point. z = x sin (x + y), (-1, 1, 0)

> Find an equation of the tangent plane to the given surface at the specified point. z = x/y2, (-4, 2, -1)

> Find an equation of the tangent plane to the given surface at the specified point. z = ex-y, (2, 2, 1)

> Find an equation of the tangent plane to the given surface at the specified point. z = (x + 2)2 – 2 (y – 1)2 - 5, (2, 3, 3)

> Find an equation of the tangent plane to the given surface at the specified point. z = 2x2 + y2 - 5y, (1, 2, -4)

> (a). The function was graphed in Figure 4. Show that fx (0, 0) and fy (0, 0) both exist but f is not differentiable at s0, 0d. [Hint: Use the result of Exercise 45.] Figure 4: Exercise 45: Prove that if f is a function of two variables that is diffe

> In Exercise 14.1.39 and Example 14.3.3, the body mass index of a person was defined as B (m, h) = m/h2, where m is the mass in kilograms and h is the height in meters. Exercise 14.1.39: The body mass index (BMI) of a person is defined by where m is the

> The wind-chill index is modeled by the function where T is the temperature (in 0C) and v is the wind speed (in km/h). The wind speed is measured as 26 km/h, with a possible error of 62 km/h, and the temperature is measured as -110C, with a possible err

> Use differentials to estimate the amount of tin in a closed tin can with diameter 8 cm and height 12 cm if the tin is 0.04 cm thick.

> Use differentials to estimate the amount of metal in a closed cylindrical can that is 10 cm high and 4 cm in diameter if the metal in the top and bottom is 0.1 cm thick and the metal in the sides is 0.05 cm thick.

> If z = x2 - xy + 3y2 and (x, y) changes from (3, -1) to (2.96, 20.95), compare the values of ∆z and dz.

> The wind-chill index W is the perceived temperature when the actual temperature is T and the wind speed is v, so we can write W = f (T, v). The following table of values is an excerpt from Table 1 in Section 14.1. Use the table to find a linear approxima

> Use the table in Example 3 to find a linear approximation to the heat index function when the temperature is near 948F and the relative humidity is near 80%. Then estimate the heat index when the temperature is 958F and the relative humidity is 78%.

> The wave heights h in the open sea depend on the speed v of the wind and the length of time t that the wind has been blowing at that speed. Values of the function h = f (v, t) are recorded in feet in the following table. Use the table to find a linear ap

> Given that f is a differentiable function with f (2, 5) = 6, fx (2, 5) = 1, and fy (2, 5) = -1, use a linear approximation to estimate f (2.2, 4.9).

> Verify the linear approximation at (0, 0). y - 1 -х+у—1 х+1

> Explain why the function is differentiable at the given point. Then find the linearization L (x, y) of the function at that point. f (x, y) = y + sin (x/y), (0, 3)

> Explain why the function is differentiable at the given point. Then find the linearization L(x, y) of the function at that point. f (x, y) = x2ey, (1, 0)

> Draw the graph of f and its tangent plane at the given point. (Use your computer algebra system both to compute the partial derivatives and to graph the surface and its tangent plane.) Then zoom in until the surface and the tangent plane become indisting

> Find the velocity, acceleration, and speed of a particle with the given position function. r(t) = et (cos t i + sin t j + t k)

> Draw the graph of f and its tangent plane at the given point. (Use your computer algebra system both to compute the partial derivatives and to graph the surface and its tangent plane.) Then zoom in until the surface and the tangent plane become indisting

> Graph the surface and the tangent plane at the given point. (Choose the domain and viewpoint so that you get a good view of both the surface and the tangent plane.) Then zoom in until the surface and the tangent plane become indistinguishable. z = x2 + x

> Find an equation of the tangent plane to the given surface at the specified point. z = ln (x - 2y), (3, 1, 0)

> Determine the signs of the partial derivatives for the function f whose graph is shown. (a). fxy (1, 2) (b). fxy (21, 2)

> Determine the signs of the partial derivatives for the function f whose graph is shown. (a). fxx (21, 2) (b). fyy (21, 2)

> At the beginning of this section we discussed the function I = f (T, H), where I is the heat index, T is the temperature, and H is the relative humidity. Use Table 1 to estimate fT (92, 60) and fH (92, 60). What are the practical interpretations of these

> Cobb and Douglas used the equation P (L, K) = 1.01L0.75K0.25 to model the American economy from 1899 to 1922, where L is the amount of labor and K is the amount of capital. (See Example 14.1.3.) (a). Calculate PL and PK. (b). Find the marginal productivi

> (a). Evaluate t (1, 2, 3). (b). Find and describe the domain of t. Let g(x, y, г) — х'у?г/10 — х — у — г.

> The temperature at a point (x, y) on a flat metal plate is given by T (x, y) = 60/ (1 + x2 + y2), where T is measured in 8C and x, y in meters. Find the rate of change of temperature with respect to distance at the point s2, 1d in (a) the x-direction and

> Show that each of the following functions is a solution of the wave equation utt = a2uxx. (a). u = sin (kx) sin (akt) (b). u = t/ (a2t2 - x2) (c). u = (x – at)6 + (x + at)6 (d). u = sin (x – at) + ln (x + at)

> Level curves are shown for a function f. Determine whether the following partial derivatives are positive or negative at the point P. (a). fx (b). fy (c). fxx (d). fxy (e). fyy 10 8 6 2

> Use the table of values of f (x, y) to estimate the values of fx (3, 2), fx (3, 2.2), and fxy (3, 2). y 1.8 2.0 2.2 2.5 12.5 10.2 9.3 3.0 18.1 17.5 15.9 3.5 20.0 22.4 26.1

> Find the indicated partial derivative(s). f (x, y) = sin (2x + 5y); fyxy

> Verify that the conclusion of Clairaut’s Theorem holds, that is, uxy = uyx. u = cos (x2y)

> Verify that the conclusion of Clairaut’s Theorem holds, that is, uxy = uyx. u = exy sin y

> (a). Evaluate f (1, 1, 1). (b). Find and describe the domain of f. Let f(x, y, 2) = Vx + vỹ + VE + In(4 – x² – y² – 2ª)

> Find all the second partial derivatives. f (x, y) = x4y - 2x3y2

> Find the first partial derivatives of the function. h (x, y, z, t) = x2y cos (z/t)

> Find fx and fy and graph f, fx, and fy with domains and viewpoints that enable you to see the relationships between them. y f(x, y) = %3D 1 + x?y?

> Find fx and fy and graph f, fx, and fy with domains and viewpoints that enable you to see the relationships between them. f (x, y) = x2y3

> Let (a). Use a computer to graph f. (b). Find fx (x, y) and fy (x, y) when (x, y) â  (0, 0). (c). Find fx (0, 0) and fy (0, 0) using Equations 2 and 3. (d). Show that fxy (0, 0) = -1 and fyx (0, 0) = 1. (e). Does the result of part (d) c

> If f (x, y) = x (x2 + y2)-3/2 esin (x2 y) find fx (1, 0). [Hint: Instead of finding fx (x, y) first, note that it’s easier to use Equation 1 or Equation 2.]

> (a). How many nth-order partial derivatives does a function of two variables have? (b). If these partial derivatives are all continuous, how many of them can be distinct? (c). Answer the question in part (a) for a function of three variables.

> If f (x, y) = -16 – 4x2 – y2, find fx (1, 2) and fy (1, 2) and interpret these numbers as slopes. Illustrate with either hand-drawn sketches or computer plots.

> a. identify the claim and state H0 and Ha, b. find the critical value(s) and identify the rejection region(s), c. find the standardized test statistic x2, d. decide whether to reject or fail to reject the null hypothesis, and e. interpret the decisio

> Find the critical F-value for a right-tailed test using the level of significance α and degrees of freedom d.f.N and d.f.D. α = 0.10, d.f.N = 5, d.f.D = 12

> Find the critical F-value for a right-tailed test using the level of significance α and degrees of freedom d.f.N and d.f.D. α = 0.01, d.f.N = 12, d.f.D = 10

> a. identify the claim and state H0 and Ha, b. find the critical value and identify the rejection region, c. find the chi-square test statistic, d.Â decide whether to reject or fail to reject the null hypothesis, and e. interpret the decisi

> Find the equation of the regression line for the data. Then construct a scatter plot of the data and draw the regression line. (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of

> Use Table 11 in Appendix B, or perform a hypothesis test using Table 5 in Appendix B to make a conclusion about the correlation coefficient. Refer to the data in Exercise 4. At Î± = 0.01, is there enough evidence to conclude that there is a

> Use Table 11 in Appendix B, or perform a hypothesis test using Table 5 in Appendix B to make a conclusion about the correlation coefficient. Refer to the data in Exercise 3. At Î± = 0.01, is there enough evidence to conclude that there is a

> Use Table 11 in Appendix B, or perform a hypothesis test using Table 5 in Appendix B to make a conclusion about the correlation coefficient. Refer to the data in Exercise 2. At Î± = 0.05, is there enough evidence to conclude that there is a

> Use Table 11 in Appendix B, or perform a hypothesis test using Table 5 in Appendix B to make a conclusion about the correlation coefficient. Refer to the data in Exercise 1. At Î± = 0.05, is there enough evidence to conclude that there is a

> Use the TI-84 Plus displays to make a decision to reject or fail to reject the null hypothesis at the level of significance. Î± = 0.05 2-Test 2-Test Inpt:Data stats H0:60 g:4.25 :58.75 n: 40 u#60 Z=-1.86016333 P=. 0628622957 X=58.75 n=40

> a. display the data in a scatter plot, b. calculate the sample correlation coefficient r, and c. describe the type of correlation and interpret the correlation in the context of the data. The annual per capita sugar consumptions (in kilograms) and the

> a. display the data in a scatter plot, b. calculate the sample correlation coefficient r, and c. describe the type of correlation and interpret the correlation in the context of the data. The intelligence quotient (IQ) scores and brain sizes, as measur

> Use the multiple regression equation to predict the y-values for the values of the independent variables. Use the regression equation found in Exercise 25. a. x1 = 10, x2 = 0.7 b. x1 = 15, x2 = 1.1 c. x1 = 13, x2 = 1.0 d. x1 = 9, x2 = 0.8

> Use technology to find a. the multiple regression equation for the data shown in the table, b. the standard error of estimate, and c. the coefficient of determination. Interpret the result. The table shows the numbers of acres planted, the numbers of

> Use technology to find a. the multiple regression equation for the data shown in the table, b. the standard error of estimate, and c. the coefficient of determination. Interpret the result. The table shows the carbon monoxide, tar, and nicotine conten

> Construct the indicated prediction interval and interpret the results. Construct a 99% prediction interval for the price of a gas grill in Exercise 18 with a usable cooking area of 900 square inches.

> Construct the indicated prediction interval and interpret the results. Construct a 99% prediction interval for the top speed of a hybrid or electric car in Exercise 17 that has a combined city and highway fuel economy of 90 miles per gallon equivalent.

> Construct the indicated prediction interval and interpret the results. Construct a 95% prediction interval for the fuel efficiency of an automobile in Exercise 12 that has an engine displacement of 265 cubic inches

> Construct the indicated prediction interval and interpret the results. Construct a 95% prediction interval for the number of hours of sleep for an adult in Exercise 11 who is 45 years old.

> Match each P-value with the graph that displays its area without performing any calculations. Explain your reasoning. P = 0.0688 and P = 0.2802 (a) (b) -2 -i ó i 2 3 -ż -i o i /2 2 = 1.82 Z = 1.08

> Construct the indicated prediction interval and interpret the results. Construct a 90% prediction interval for the average time women spend per day watching television in Exercise 10 when the average time men spend per day watching television is 3.08 hou

> a. display the data in a scatter plot, b. calculate the sample correlation coefficient r, and c. describe the type of correlation and interpret the correlation in the context of the data. The numbers of wildland fires (in thousands) and wildland acres

> Construct the indicated prediction interval and interpret the results. Construct a 90% prediction interval for the amount of milk produced in Exercise 9 when there are an average of 9275 milk cows.

> Use the value of the correlation coefficient r to calculate the coefficient of determination r2. What does this tell you about the explained variation of the data about the regression line? about the unexplained variation? r = 0.795

> Use the value of the correlation coefficient r to calculate the coefficient of determination r2. What does this tell you about the explained variation of the data about the regression line? about the unexplained variation? r = 0.642

> Use the value of the correlation coefficient r to calculate the coefficient of determination r2. What does this tell you about the explained variation of the data about the regression line? about the unexplained variation? r = -0.937

> Use the value of the correlation coefficient r to calculate the coefficient of determination r2. What does this tell you about the explained variation of the data about the regression line? about the unexplained variation? r = -0.450

> Find the equation of the regression line for the data. Then construct a scatter plot of the data and draw the regression line. (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of

> Match each P-value with the graph that displays its area without performing any calculations. Explain your reasoning. P = 0.0089 and P = 0.3050 (a) (b) -3 -2 -1 to i 2 3 -2 -1 0 1 2 3 z=-2.37 2=-0.51

> Find the equation of the regression line for the data. Then construct a scatter plot of the data and draw the regression line. (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of

> a. display the data in a scatter plot, b. calculate the sample correlation coefficient r, and c. describe the type of correlation and interpret the correlation in the context of the data. The numbers of pass attempts and passing yards for seven profess

> a. identify the claim and state H0 and Ha, b. find the critical value(s) and identify the rejection region(s), c. find the standardized test statistic z, d. decide whether to reject or fail to reject the null hypothesis, and e. interpret the decision

> Test the claim about the difference between two population means µ1 and µ2 at the level of significance α. Assume the samples are random and independent, and the populations are normally distributed. Claim: µ1 ≠ µ2; α = 0.05 Population statistics: σ1 =

> Test the claim about the difference between two population means µ1 and µ2 at the level of significance α. Assume the samples are random and independent, and the populations are normally distributed. Claim: µ1 < µ2; α = 0.10 Population statistics: σ1 =

> Test the claim about the difference between two population means µ1 and µ2 at the level of significance α. Assume the samples are random and independent, and the populations are normally distributed. Claim: µ1 = µ2; α = 0.01 Population statistics: σ1 =

> Test the claim about the difference between two population means µ1 and µ2 at the level of significance α. Assume the samples are random and independent, and the populations are normally distributed. Claim: µ1 ≥ µ2; α = 0.05 Population statistics: σ1 =

> Classify the two samples as independent or dependent and justify your answer. Sample 1: The fuel efficiencies of 12 cars Sample 2: The fuel efficiencies of the same 12 cars using an alternative fuel

> a. identify the claim and state H0 and Ha, b. find the critical value(s) and identify the rejection region(s), c. find the standardized test statistic z, d. decide whether to reject or fail to reject the null hypothesis, and e.Â interpret

> Find the P-value for the hypothesis test with the standardized test statistic z. Decide whether to reject H0 for the level of significance α. Two-tailed test z = 1.95 α = 0.08

> Classify the two samples as independent or dependent and justify your answer. Sample 1: The fuel efficiencies of 20 sports utility vehicles Sample 2: The fuel efficiencies of 20 minivans

> a. identify the claim and state H0 and Ha, b. find the critical value(s) and identify the rejection region(s), c. find the standardized test statistic z, d. decide whether to reject or fail to reject the null hypothesis, and e.Â interpret

> Determine whether a normal sampling distribution can be used. If it can be used, test the claim about the difference between two population proportions p1 and p2 at the level of significance α. Assume the samples are random and independent. Claim: p1 < p

> Determine whether a normal sampling distribution can be used. If it can be used, test the claim about the difference between two population proportions p1 and p2 at the level of significance α. Assume the samples are random and independent. Claim: p1 > p

> Determine whether a normal sampling distribution can be used. If it can be used, test the claim about the difference between two population proportions p1 and p2 at the level of significance α. Assume the samples are random and independent. Claim: p1 ≤ p

> Determine whether a normal sampling distribution can be used. If it can be used, test the claim about the difference between two population proportions p1 and p2 at the level of significance α. Assume the samples are random and independent. Claim: p1 = p

> Test the claim about the mean of the differences for a population of paired data at the level of significance α. Assume the samples are random and dependent, and the populations are normally distributed. Claim: µd ≠ 0; α = 0.05. Sample statistics: d = 17

> Test the claim about the mean of the differences for a population of paired data at the level of significance α. Assume the samples are random and dependent, and the populations are normally distributed. Claim: µd ≤ 0; α = 0.10. Sample statistics: d = 10

> Find the P-value for the hypothesis test with the standardized test statistic z. Decide whether to reject H0 for the level of significance α. Two-tailed test z = -1.68 α = 0.05

> Test the claim about the mean of the differences for a population of paired data at the level of significance α. Assume the samples are random and dependent, and the populations are normally distributed. Claim: µd < 0; α = 0.10. Sample statistics: d = 3.

> Classify the two samples as independent or dependent and justify your answer. Sample 1: The weights of 39 dogs Sample 2: The weights of 39 cats

> Test the claim about the mean of the differences for a population of paired data at the level of significance α. Assume the samples are random and dependent, and the populations are normally distributed. Claim: µd = 0; α = 0.01. Sample statistics: d = 8.

Question: Find the critical F-value for a