3 1 = (2 In proving the reality of the roots o dinary fact that real numbers could on, imaginary numbers lost some o as bona fide numbers came only in 7.3 Problems 1. Find all three roots of each of the following cubic equations by first reducing them to cubics that lack a term in x2. (a) x 11x = 6x2 +6. (b) x36x2 3x = 2.

Q: I+l+3

A: Answer - sum = a+b +c...........

Q: 9. If we were to repeat the process in # 1 -6 for n=3 dice, there would be 216 possible outcomes…

A: Given: n=3 dice μX¯=3.5 σX¯=1.713

Q: 12 I+(-1'] = i=1

A:

Q: a3-16a

A: a³−16a ⇒a(a²−16) ⇒a(a² −4²) ⇒a(a+4)(a−4)

Q: 4n – 1

A:

Q: Question 7

A: 7) (a) The given parametric equations are  x=t+2 and y=t2-1 and t∈-3, 3. Sketch the graph of the…

Q: Question 5

A: From the provided information, Number of trials (n) = 100 Probability of getting tails (p) = 0.5

Q: Question 8 12

A:

Q: 1b+1b

A: Applying  addition operation since terms with same variable  binomial addition

Q: Find ay Sin(x+y)=Cos X t cos y

A:

Q: Problem A.10 Circle the transient terms, if any, in each function. If there are no transient terms,…

A:

Q: 36-9z

A: Given that:36-9z

Q: Question 9

A:

Q: 42 -13

A:

Q: 318-4*

A: Given:∫4xdx8-4x3

Q: 11 35

A:

Q: 36 70

A:

Q: Select the final image of AABC after the given sequences of transformations. Translate AABC by…

A:

Q: 2

A:

Q: 12 2х A = 2x

A: (6(a):- Given matrix Q is                              6(b) Singular Matrix:- A matrix is called…

Q: Graph. 0 = - 4

A:

Q: Question 11

A:

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.