UTSA random process X (1) has an auto correlation functionRex (t) = A2+B. eld where A and B are positive constants. Find thevalue of the response of a system having an impulse responseh (t) = e-kt for t > 0= 0 for t< 0where K is a real positive constant, for which X (t) is its input.

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Answered: A random process X (1) has an auto…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Problem 1P

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Example 4. Calculate Coefficient of Correlation from the following results : n= 10, ΣX- 100, ΣY - 150, Σ (X- 102180, Σ(Y-15)?-215 E(X – 10) (Y – 15) = 60
A study reports data on the effects of the drug tamoxifen on change in the level of cortisol-binding globulin (CBG) of patients during treatment. With age = x and ACBG = y, summary values are n = 26, Ex; = 1613, Σ(x; − x)² = 3756.96, Ey, = 281.9, Σ(y₁ - y)² = 465.34, and Ex,y; = 16,711. (a) Compute a 90% CI for the true correlation coefficient p. (Round your answers to four decimal places.) (b) Test Ho: P = -0.5 versus H₂: p < -0.5 at level 0.05. Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) z = P-value = State the conclusion in the problem context. O Reject Ho. There is no evidence that p < -0.5. O Fail to reject Ho. There is evidence that p < -0.5. O Fail to reject Ho. There is no evidence that p < -0.5. O Reject Ho. There is evidence that p < -0.5. (c) In a regression analysis of y on x, what proportion of variation in change of cortisol-binding globulin level could be explained by…
A jawbreaker is a ball of hard candy filled with multiple colored layers (or rings) of hardened sugar. Mirra sells jawbreakers of three layers. The yellow core (r = 2 cm) is surrounded by a 1 cm layer of pink sugar, which in turn, is coated with 2 cm of white sugar. If each layer is 1 cm thicker than it is supposed to be, use partial differentials to approximate how much larger (in cm²) the cross sectional area will be. Divide your final answer by n before inputting.
Calculate the solubility of MCl in water taking activity effects into account. As MCl dissolves, the ionic strength increases so there is a feedback effect: when MCl dissolves, it increases μ, which decreases activity coefficients, which allows more MCl to dissolve, which increases μ, which... You will have to solve this recursively. Repeat the cycle of calculations until you get two successive answers that agree to two significant figures. Use the value α = 250 pm for the M+ ion. Ksp= 5.9E-3
Example 4. Calculate Coefficient of Correlation from the following results : n= 10, ΣX- 100, ΣY - 150, Σ (Y-10- 180, Σ(Y-15)215 E(X – 10) (Y –- 15) = 60
this is date for Colon Cancer New Cases 2017 y1y1=2609.58x2x2-971041 corr(x2y1)(x2y1)=0.988 Could you tell us what your variables in your equation represent for your situation? How do you determine if there is a strong or weak linear correlation from the correlation coefficient? How do you determine if it is positive or negative?
A7. Calculate Α correlation coefficient from the following data: N- 10, Σ X= 140, Σ Υ=150 Σ (X- 10)7Ξ 180, Σ (Y- 15)2215, Σ(Χ-10) (Υ-15)-69
(d) Does a linear relation exist between the speed at which a ball is hit and the distance the ball travels? The variables speed at which the ball is hit and the distance the ball travels are positively associated because r is positive and the absolute value of the correlation coefficient is greater than the critical value ( ) (Round to three decimal places as needed.)

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A random process X (1) has an auto correlation fünction Rix (t) = A2 +B. el where A and B are positive constants. Find the value of the response of a system having an impulse response %3D h (t) = e-kt for t > 0 = 0 for t< 0 where K is a real positive constant, for which X (t) is its input.