Answer:
The required polynomial is
.
Step-by-step explanation:
If a polynomial has degree n and
are zeroes of the polynomial, then the polynomial is defined as

It is given that the polynomial R has degree 4 and zeros 3 − 3i and 2. The multiplicity of zero 2 is 2.
According to complex conjugate theorem, if a+ib is zero of a polynomial, then its conjugate a-ib is also a zero of that polynomial.
Since 3-3i is zero, therefore 3+3i is also a zero.
Total zeroes of the polynomial are 4, i.e., 3-3i, 3_3i, 2,2. Let a=1, So, the required polynomial is


![[a^2-b^2=(a-b)(a+b)]](https://tex.z-dn.net/?f=%5Ba%5E2-b%5E2%3D%28a-b%29%28a%2Bb%29%5D)

![[i^2=-1]](https://tex.z-dn.net/?f=%5Bi%5E2%3D-1%5D)


Therefore the required polynomial is
.
Answer:
Soccer = 120
Tennis = 220
Step-by-step explanation:
The total number of students enrolling for soccer and tennis classes is, 340.
The ratio number of students enrolling for soccer and tennis classes is, 6:11.
Then,
6x + 11x = 340
17x = 340
x = 20
The number of students enrolled for soccer class is, 6x = 6 × 20 = 120.
The number of students enrolled for tennis class is, 11x = 11 × 20 = 120.
Answer:
Step-by-step explanation:
Hello!
The objective of the research is to compare the newly designed drug to reduce blood pressure with the standard drug to test if the new one is more effective.
Two randomly selected groups of subjects where determined, one took the standard drug (1- Control) and the second one took the new drug (2-New)
1. Control
X₁: Reduction of the blood pressure of a subject that took the standard drug.
n₁= 23
X[bar]= 18.52
S= 7.15
2. New
X₂: Reduction of the blood pressure of a subject that took the newly designed drug.
n₂= 21
X[bar]₂= 23.48
S₂= 8.01
The parameter of study is the difference between the two population means (no order is specified, I'll use New-Standard) μ₂ - μ₁
Assuming both variables have a normal distribution, there are two options to estimate the difference between the two means using a 95% CI.
1) The population variances are unknown and equal:
[(X[bar]₂-X[bar]₁)±
*(
)]


[23.48-18.52]±2.018*(
)]
[0.349; 9.571]
2) The population variables are unknown and different:
Welche's approximation:
[(X[bar]₂-X[bar]₁)±
*(
)]


[(23.48-18.52)±2.018
]
[0.324; 9.596]
I hope this helps!
Mayra is the middle child of the family is a, Sakshi is 1 year older than maya is 1+a, and Amul is 2 years younger than Maya is a-2.