Question Solved1 Answer Part C-[2x5 = 10 Marks] Answer all the questions For the circuit shown in Figure Cl, using Mesh Analysis calculate: All loop currents Current in 2022 resistor and 19 resistor Power delivered by 12V source iii, 10V . BV 200 30 10 12V Figure C1 N CE

PRACTICE EXERCISE Uniform E and B fields are oriented at right angles to each other. An electron moves with a speed of 8 × 10° m/s at right angles to both fields and passes undeflected through the field. If the magnitude of B is 0.5 mWb/m', find the value of E. Will this filter work for positive and negative charges and any value of mass?

Hypothesis Testing Practice 6 points possible (graded) 1. Suppose we now instead have 30000 participants in the treatment group and 31000 participants in the control group. As before, we base the null hypothesis on the breast cancer death rate observed in the control group, which is 0.00203, and define Y as the number of deaths in the treatment group. Given Hypothesis Testing Practice 6 points possible (graded) 1. Suppose we now instead have 30000 participants in the treatment group and 31000 participants in the control group. As before, we base the null hypothesis on the breast cancer death rate observed in the control group, which is 0.00203, and define Y as the number of deaths in the treatment group. Given that we now have different sized treatment and control groups, can we still model Y as a Poisson variable (approximated from a Binomial) and perform the same hypothesis test using Y as the test statistic? If so, what is the null hypothesis in terms of the parameter (of the Poisson model)? Yes, y can still be modeled as Poisson (X), and the null hypothesis will be Ho: λ = 60.9 Yes, y can still be modeled as Poisson (X), and the null hypothesis will remain Ho : A = 63 No 2. Recall that we have the model X₁,..., X31000~ Bernoulli() for the outcomes for each patient in the treatment group. We wish to distinguish between Ho: = 0.00203 and HA < 0.00203 using the test statistic T. How does T distinguish between Ho and HA? If T is large, then the data is more compatible to Ho, and if T is small, especially much smaller than 0.00203 31000, then the data is compatible to HA. If T is small, then the data is more compatible to Ho, and if T is large, especially much larger than 0.00203 31000, then the data is compatible to HA. If T' is exactly equal to 0.00203 31000, then the data is compatible to Ho. Otherwise, the data is compatible to HA.

From the table below, calculate the actual distance for each point given the multiplying and additive constants equivalent to 98.5 and 0.62, respectively. Point Top stadia Middle stadia Below stadia Distance a) А 3 2 1 b) B 2.95 2.05 0.25 c) с 3.35 2.35 0.95 d) D 2.98 2.28 0.48 ) e) E 2.56 1.76 0.76

The v–t graph for the motion of a car as it moves along a straight road is shown. Draw the s–t and a–t graphs. Also determine the average speed and the distance traveled for the 15-s time interval. When t = 0, s = 0. v (m/s) 15 u = 0.6t2 t (s) 15

determine the time during which the datellite is above the horizon for an observer located at the north pole The periodic time of an earth satellite in a circular polar orbit is 116 minutes. th N Horizon B A R = 3960 mi S Determine the time during which the satellite is above the horizon for an observer located at the north pole. The time is 29 min.

Consider the function x2 f(x) = [* °) cos(t) dt. We want to find its degree two Taylor polynomial T2(x) near x = 0. First, we calculate f'(x). We get: f'(x) = Then, we calculate f"(x). We get: f"(x) = Putting this together, we can construct the degree two Taylon polynomial T2(x) near x = 0. We obtain: T2(x) = Check