39.54% Size 248.66 61‚831.50 .32 11.18% Baths .393 .154 .794 18.89% The appropriate bivariate chart to use in this scenario is the scatter gram which is defined as a two-dimensional plot‚ with one variable’s values plotted along the horizontal axis and the other along the vertical
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boost before flying off the table. In a front and spring‚ I continue moving forward the whole way‚ traveling on the x-axis and flipping on the y-axis. In a Tsukahara‚ I twist onto the table so that I push off facing the runway‚ and then bend my knees to increase my rotational velocity and flip backwards one and half times around my y-axis before landing‚ while traveling on the x-axis the entire time. On floor‚ my run ends in one of two entry skills that I try to finish at an angle that will give me
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Root Locus Consider the closed loop transfer function: R(s) + - E(s) K 1 s(s+a) C(s) How do the poles of the closed-loop system change as a function of the gain K? The closed-loop transfer function is: The characteristic equation: Closed-loop poles: Root Locus When the gain is 0‚ the closed loop poles are the openloop poles Roots are real and distinct and for a positive a‚ in the left half of the complex plane. Two coincident poles (Critically damped response) Roots
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Torsion- twisting of the embryo along the left-right axis (similar to the twist of the body when a golfer swings at the ball). MOST prominent in the 48-hour chick embryo Flexion- bending of the embryo along the anterior-posterior axis. In amniotes the tip of the head bends towards the heart. Types of flexion: cranial flexion‚ cervical flexion‚ pontine flexure‚ dorsal flexure‚ caudal flexure. ^Cervical flexure- ventral bend in embryo at transition between myelencephalon and spinal cord ^Dosal Flexure-
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Technology‚ Jamaica Plane ellipse (2D) Minor axis Major axis Foci University of Technology‚ Jamaica Ellipsoid is formed by rotating the ellipse about its minor axis Semi-major axis = a b a Semi-minor axis = b Flattening = f = (a-b)/a Eccentricity = e = SQRT(2f-f2 ) e2 = 2f – f2 Reference latitude Reference longitude University of Technology‚ Jamaica Geodetic Ellipsoidal Coordinates • Size and shape determined by semi-major axis (a)‚ flattening (f) • Latitude – angle btw ellipsoidal
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because each joint has a distinct way of moving for a specific task. It was difficult for me to determine the axis and planes because I could not see the bones moving inside of the body. An axis can be defined as a line that goes around when an object rotates. There are three possible axis of rotation. Movements made by a human are described in three dimensions based on the specific planes and axis. There are three possible planes of motion that divide the human body. Quantitative analysis is primarily
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using two axes; the x axis‚ the horizontal plane‚ and the y axis‚ the vertical plane. There are memory tricks with which to distinguish the x from the y axis and remember their horizontal and vertical orientations. Regarding the x axis and its horizontal orientation‚ keep in mind that the word “horizontal” is derived from the word “horizon”. The horizon line at limit of vision when viewing the ocean‚ or an open field‚ lies from left to right‚ just as the horizontal x axis lies from left to right
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when it is on a graph. Each position of the parabola determines the Nature of Roots. A parabola eithers has two real roots‚ one real root‚ or no real roots. The way you determine if a parabola has two real roots if the parabola “cuts” or cross” the x- axis in two places. The roots formula also shows when a parabola has two real roots‚ which is the reason it is called the roots formula: because you can identify the two real roots by looking at the formula. To identify the roots you will set the.
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x(ind2)=1; plot(time‚x‚’linewidth’‚2) set(gca‚’fontsize’‚12) axis([-3‚ 8‚ -2‚ 4]) grid on xlabel(’x’); ylabel(’y’); title(’Unit Step’) Plot of a triangular signal clear all time=-8:0.001:10; ind1=find(time=-2 & time < 0); ind3=find(time>=0 & time < 2); ind4=find(time>=2); y(ind1)=0.5; y(ind2)=1+time(ind2); y(ind3)=1-time(ind3); y(ind4)=0.5; plot(time‚y) plot(time‚y‚’linewidth’‚3) set(gca‚’fontsize’‚12) axis([-3‚ 3‚ -1‚ 2]) grid on xlabel(’x’); ylabel(’y’); title(’Triangular
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Diagnostic Impression Axis I When I first assessed S.H.‚ I gave her a diagnosis of an Adjustment Disorder with Depressed Mood. I did this as she met the criteria according to the DSM-5. At the time‚ I thought she did not meet criteria for Posttraumatic Stress Disorder (PTSD). In time‚ I changed her diagnosis to PTSD. The client met the Criteria A as she was exposed to sexual violence by directly experiencing the traumatic event. Criteria B have been met as she has had intrusive symptoms with distressing
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