Question

29. [C7] Let X1, X2, ..., Xn be a random sample of size n drawn from a population with a mean of 20 and a standard deviation

0 0
Add a comment Improve this question Transcribed image text
Answer #1

Solution :

Given that ,

mean = \mu = 20

standard deviation = \sigma = 20

\sigma\bar x = 4

n = (\sigma / \sigma \bar x )2

n = ( 20 / 4 )2

n = 25

correct option is = b

Add a comment
Know the answer?
Add Answer to:
29. [C7] Let X1, X2, ..., Xn be a random sample of size n drawn from...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • X1, X2, X3, ...Xn are members of a random sample size n drawn from a for...

    X1, X2, X3, ...Xn are members of a random sample size n drawn from a for the population population with unknown mean. Consider the estimator Ê = = n-1 mean. Ê is a consistent estimator of the population mean.

  • Let X1, X2, ...,Xn be a random sample of size n from a Poisson distribution with...

    Let X1, X2, ...,Xn be a random sample of size n from a Poisson distribution with mean 2. Consider a1 = *1782 and în = X. Find RE(21, 22) for n = 25 and interpret the meaning of the RE in the context of this question.

  • Let X1, X2, ..., Xn be a random sample of size n from a population that...

    Let X1, X2, ..., Xn be a random sample of size n from a population that can be modeled by the following probability model: axa-1 fx(x) = 0 < x < 0, a > 0 θα a) Find the probability density function of X(n) max(X1,X2, ...,Xn). b) Is X(n) an unbiased estimator for e? If not, suggest a function of X(n) that is an unbiased estimator for e.

  • Let X1, X2, ... , Xn be a random sample of size n from the exponential...

    Let X1, X2, ... , Xn be a random sample of size n from the exponential distribution whose pdf is f(x; θ) = (1/θ)e^(−x/θ) , 0 < x < ∞, 0 <θ< ∞. Find the MVUE for θ. Let X1, X2, ... , Xn be a random sample of size n from the exponential distribution whose pdf is f(x; θ) = θe^(−θx) , 0 < x < ∞, 0 <θ< ∞. Find the MVUE for θ.

  • Let X1, X2, ...,Xn be a random sample of size n from a population that can...

    Let X1, X2, ...,Xn be a random sample of size n from a population that can be modeled by the following probability model: axa-1 fx(x) = 0 < x < 0, a > 0 θα a) Find the probability density function of X(n) = max(X1, X2, ...,xn). b) Is X(n) an unbiased estimator for e? If not, suggest a function of X(n) that is an unbiased estimator for 0.

  • Problem 3 Let X1, X2, ... , Xn be a random sample of size n from...

    Problem 3 Let X1, X2, ... , Xn be a random sample of size n from a Gamma distribution fr; a,B) 22-12-1/B, 0 < < (a) Find a sufficient statistics for a. (b) Find a sufficient statistics for B.

  • Let X1, X2, ..., Xn denote a random sample of size n from a population whose...

    Let X1, X2, ..., Xn denote a random sample of size n from a population whose density fucntion is given by 383x-4 f S x f(x) = 0 elsewhere where ß > 0 is unknown. Consider the estimator ß = min(X1, X2, ...,Xn). Derive the bias of the estimator ß.

  • Let X1, X2, . . . , Xn be a random sample of size n from...

    Let X1, X2, . . . , Xn be a random sample of size n from a normal population with mean µX and variance σ ^2 . Let Y1, Y2, . . . , Ym be a random sample of size m from a normal population with mean µY and variance σ ^2 . Also, assume that these two random samples are independent. It is desired to test the following hypotheses H0 : σX = σY   versus H1 : σX...

  • 7.2.6. Let X1, X2....Xn be a random sample of size n from a beta d with...

    7.2.6. Let X1, X2....Xn be a random sample of size n from a beta d with parameters α-θ and β statistic for θ 5. Show tha the product Xi X2 . . . Xn is a sufficient oherat tious is a sufficient statistic for

  • Let X1, X2, ..., Xn be a random sample of size n from the distribution with...

    Let X1, X2, ..., Xn be a random sample of size n from the distribution with probability density function f(x1) = 2 Æ e-dz?, x > 0, 1 > 0. a. Obtain the maximum likelihood estimator of 1 . Enter a formula below. Use * for multiplication, / for divison, ^ for power. Use m1 for the sample mean X, m2 for the second moment and pi for the constant n. That is, m1 = * = *Šxi, m2 =...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT