The lifespan of an electrical component has an exponential distribution with parameter lambda = 0.013. Suppose we have an iid sample of size 100 of these components Some hints: P(X < c) for an exponential(lambda) can be found via pexp(c, lambda) E[X] = 1/lambda and Var[X] = 1/lambda^2 Round all answers to 4 decimals Using the exact probability distribution, what is the probability that a single component will be within 15.38 units of the population mean? Using Chebyshev's inequality, what is a lower bound on the probability that the sample mean will be within 15.38 units of the population mean? Using the CLT, what is an approximation to the probability that the sample mean will be within 15.38 units of the population mean?

answer:

3 bags of apples and 2 bags of oranges.

step-by-step explanation:

the correct option is:

b. a value of the variable that makes the polynomial equal to zero.

the root or roots of a polynomial are the values of the variable that makes the polynomial equal to 0. we can find the roots of a polynomial making the expression equal to 0 and then, isolating the variable (it it has just one variable).

for example, given the following polynomial:

the root or zero of the polynomial, can be found by making the expression equal to 0, and then, isolating the variable, so, finding the root we have:

therefore, we have that the root of the polynomial is equal to 2.

we must remember that the number of roots that a polynomial can have, will depend on the degree of the polynomial, a first degree polynomial have will have one single root, a second degree polynomial (quadratic expression) may have two roots and so.

hence the correct option is:

b. a value of the variable that makes the polynomial equal to zero.

have a nice day!