Question:

What is yield by the accompanying? Expect the client enters Sally and John

x=input("What is your name?")

y=input("What is your companion's name?")

print ("Hi+x+" and " + y)

Hypersensitivity is an extreme, multisystem unfavorably susceptible response that happens out of nowhere after contact with an allergen. The exemplary show incorporates urticaria or angioedema, hypotension, and bronchospasm. Nonetheless, hypersensitivity can frequently be hard to analyze, with up to 20% of anaphylactic responses coming up short on any cutaneous indications or indications of vasomotor instability.2 Diagnostic rules were set up by a multidisciplinary team in 2005 to help in the acknowledgment of abnormal introductions of hypersensitivity

1.relate the most elevated cetane number to the n-heptane

2.how is fatigue accomplished by the nitrogen gas in the innocuous segments of ignition

3. By which cycle does the thumping beginnings in diesel engine?explain

4.analayse the use of the Chemical added substances to elicit the surface strain in diesel fuel?

5. Which boundary substance is utilized to diminish thumping in diesel fuel?

6.critique; The thumping attribute of gas fuel are communicated as far as cetane number.

7.limit the number for the cetane speed of diesel center motor

8.how is the cetane atom considered for computing the cetane number?

9.apply the n-heptane to accomplish thumping interaction

10.consider the appropriateness of the iso-octane in the computation of the octane number

Let Xn = (Zn. Yn) be a bivariate random vector defined as follows: define Zn ~ N(0, 1). Then trivially, Zn - N(0, 1). Define Ym = (-1)"Z, for all n. Then Y, - N(0, 1). Thus both components of X,, converge in distribution. Let = (1, 1), a 2 x 1 vector. Does { X, converge in distribution? Provide an explanation for your answer.Using the characteristic function of the multivariate Gaussian distribution, prove that the sum of N jointly Gaussian random variables, that are not necessarily independent, is a Gaussian random variable. Obtain the mean and variance of the sum. 'H' Hill} Exercise 6. Let X be a Gaussian random variable with mean 0 and variance oi :2 0. Let Y be a Gaussian random variable with mean 0 and variance 0% 1::- 0. Assume that X and Y are independent. Show that X + Y is also a Gaussian random variabie with mean [I and variance 0'3: + oi. (Hint: write an expression for P[X + Y E t), t E R, then take a derivative in t.) Q3. (20%) The bivariate probability distribution is presented in the table. Please answer the following questions: X X1 = 2 X2= 3 X3= 4 Y Y1 =0 .10 .05 10 Y2= 1 .20 .10 10 Y3= 2 .20 .10 05 (1) Please compute the coefficient of correlation between X and Y. How are they correlated? (2) Please develop the probability distribution of (X+Y)