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MatroZZZ [7]
3 years ago
13

Which of the following SRS designs will give the most precision (smallest standard error) for estimating a population mean? Assu

me that each population has the same value of the population variance S^2?
1) An SRS of size 400 from a population of size 4000
2) An SRS of size 30 from a population of size 300
3) An SRS of size 3000 from a population of size 300,000,000
Mathematics
1 answer:
Serjik [45]3 years ago
7 0

Answer:

Design 3: An SRS of size 3000 from a population of size 300,000,000

Step-by-step explanation:

To check the SRS designs will give the most precision (smallest standard error) for estimating a population mean, we'll make use of the following formula:

V(y) = S²/n( 1 - n/N)

Where S² is a constant for the three SRS designs

Check the first design

n = 400

N = 4000

So, V(y) = S²/400 (1 - 400/4000)

V(y) = S²/400(1 - 0.1)

V(y) = 0.0025S²(0.9)

V(y) = 0.00225S²

V(y) = 2.25S²E-3

The second design

n = 30

N = 300

So, V(y) = S²/30 (1 - 30/300)

V(y) = S²/30(1 - 0.1)

V(y) = S²/30(0.9)

V(y) = 0.03S²

V(y) = 3S²E-2

The third design

n = 3,000

N = 300,000,000

So, V(y) = S²/3,000 (1 - 3,000/300,000,000)

V(y) = S²/3,000(1 - 0.00001)

V(y) = S²/3,000(0.99999)

V(y) = 0.00033333

V(y) = 3.33S²E-4

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Answer:

20% of the garden is in chillies.

Step-by-step explanation:

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2 years ago
Rational equation for x, 3x/x+1 + 4/x-2=3
zimovet [89]

Answer:

x = - 10

Step-by-step explanation:

Express the fractions on the left side as a single fraction.

Multiply the numerator/denominator of the first fraction by (x - 2)

Multiply the numerator/denominator of the second fraction by (x + 1)

\frac{3x(x-2)}{(x+1)(x-2)} + \frac{4(x+1)}{(x+1)(x-2)} = 3

Distribute the numerators and simplify

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5 0
3 years ago
A process that fills packages is stopped whenever a package is detected whose weight falls outside the specification. Assume tha
swat32

Answer:

The mean number of packages that will be filled before the process is stopped is 50.

Step-by-step explanation:

For each package, there are only two possible outcomes. Either it fails outside the specifications, or it does not. Packages are independent. This means that we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

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Number of trials expected for n sucesses

Also called inverse binomial distribution, is given by:

E = \frac{n}{p}

In which p is the probability of a success in a trial.

Assume that each package has probability 0.02 of falling outside the specification and that the weights of the packages are independent.

This means that p = 0.02

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The mean number of packages that will be filled before the process is stopped is 50.

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Answer:

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Step-by-step explanation:

Part A: Virginia

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Part B: Alicia

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Answer:

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Step-by-step explanation:

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