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1st Year Mathematics Chapter 9 Test1st Year · Mathematics · Punjab (PTB)
Q1. Multiple choice questions (Attempt all · 7 × 1 = 7)
If x-a is factor of f(x) then f(x)=0, x=a is called:
Synthetic division is a process of ......:
x3-3x2+2x-6 has factor:
Observed-predicted =:
Polynomial regression is used when the data shows ...... relationship:
Dividend = (divisor)(quotient)+ ......:
Factor of f(x)=xn-an, where n is positive integer is:
Q2. Short questions (Attempt any 6 of 8 · 6 × 2 = 12)
When the polynomial 4x4+2x3+kx2+13 is divided by x+1, the remainder is 16. Find the value of k.
Use factor theorem to find the values of a and b if -2 and 2 are the roots of the polynomial 2x3+4x2+ax+b.
Find the remainder without performing division when f(x)=x4+x3+x2+1 is divided by x+1.
Use synthetic division to show that x is the zero of the polynomial and use the result to factorize the polynomial completely: x3-28x-48, x=-4
Use the factor theorem to determine the first polynomial is a factor of the second polynomial: x+1 , x3+x2+x-3
Solve a polynomial regression model P(x) 3x3-4x2+2x-5. If a data point ar x=-1 is missing. What should be its predicted value?
Use the factor theorem to determine the first polynomial is a factor of the second polynomial: x+1 , x2-1
Calculate data set of monthly sales figure. A polynomial regression model P(x)=x3+x2+2x+1 is fitted to this data. If the observed sales in the 3rd month are 40 units, find the percentage error.
Q3. Long questions (Attempt any 2 of 3 · 2 × 4 = 8)
A retailer company has developed a polynomial regression model to predict weekly product demand: D(w)=w3-2w2+5w-4, where D(w) represent predicted demand (in units) and w is the week number. Use the demand is 22 units, calculated the prediction error.
A signal process system has a transfer function
. Find the zero(s) of the transfer function by using factor theorem.
The denominator of signal processing system's transfer function equal to A(z)=z2+1.2z+0.35. Use factor theorem to determine the location of the corresponding poles and assess the stability of the system.