Question

H.W. #5 - Q #8:

8. Suppose that n-48 seeds are planted and suppose that each seed has a probability p 75% of germinating. Let X be the number of seeds that germinate and use the Central Limit Theorem to estimate the probability P(35 < X < 40) that between 35 and 40 seeds germinate. Dont forget to use a continuity correction.

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

Doco mean 36 use need t bind Cs ISR Чо reaured 3 20325 〇、46S5 二

Add a comment
Know the answer?
Add Answer to:
H.W. #5 - Q #8: 8. Suppose that n-48 seeds are planted and suppose that each...
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
  • QUESTION 5 The probability that a seed will germinate is 0.36. Suppose 178 seeds are planted....

    QUESTION 5 The probability that a seed will germinate is 0.36. Suppose 178 seeds are planted. Use the Central Limit Theorem to determine the probability that at most 61 seeds germinate.

  • 1. There are times when a shifted exponential model is appropriate. That is, let the pdf of X be ...

    1. There are times when a shifted exponential model is appropriate. That is, let the pdf of X be (a) Find the cdf of X. (b) Find the mean and variance of X. 2. Suppose X is a Gamma random variable with pdf 「(a)go Show that the moment generating function is M(t) 3, Let X equal the nurnber out of n 48 mature aster seeds that will germinate when p- 0.75 is the probability that a particular seed germinates. Approximate...

  • Let X1, X2, ..., X48 denote a random sample of size n = 48 from the...

    Let X1, X2, ..., X48 denote a random sample of size n = 48 from the uniform distribution U(?1,1) with pdf f(x) = 1/2, ?1 < x < 1. E(X) = 0, Var(X) = 1/3 Let Y = (Summation)48, i=1 Xi and X= 1/48 (Summation)48, i=1 Xi. Use the Central Limit Theorem to approximate the following probability. 1. P(1.2<Y<4) 2. P(X< 1/12)

  • Problem 8 (4x4 pts) Suppose Xi, X2-, ..,. Xn are each independent Poisson random variables with...

    Problem 8 (4x4 pts) Suppose Xi, X2-, ..,. Xn are each independent Poisson random variables with mean 1. Let 100 k=1 (a) Rccall, Markov's incquality is P(Y > a) for a> 0 Using Markov's inequality, estimate the probability that P(Y > 120). (b) Rccal, Chebyshev's incquality is Using Chebyshev's inequality, estimate P( Y-?> 20) (c), (d) Using the Central Limit Theorem, estimate P(Y > 120) and Ply-? > 20).

  • by central limit theorem 12. Suppose that X1, X2, ..., X 40 denote a random sample...

    by central limit theorem 12. Suppose that X1, X2, ..., X 40 denote a random sample of measurements on the proportion of impurities in iron ore samples. Let each variable X have a probability density function given by 132 0<x<1 o elsewhere The ore is to be rejected by the potential buyer if sample of size 40 X, exceeds 2.8. Estimate P ., X. > 2.8) for the

  • suppose x is the mean of a random sample of size n=36 from the chi-squared distribution...

    suppose x is the mean of a random sample of size n=36 from the chi-squared distribution with 18 degrees of freedom. use the central limit theorem to approximate the probability P(16 < x < 20) ?

  • 8. (15 points) Let X ~ Binomial(30,0.6). (a) (5 points) Using the Central Limit Theorem (CLT),...

    8. (15 points) Let X ~ Binomial(30,0.6). (a) (5 points) Using the Central Limit Theorem (CLT), approximate the probability that P(X > 20). (b) (5 points) Using CLT, approximate the probability that P(X = 18). (c) (5 points) Calculate P(X = 18) exactly and compare to part(b).

  • Find the sampling error: u = -5, B = -2.5, n= 100 -7.5 -2.5 0.25 2.5...

    Find the sampling error: u = -5, B = -2.5, n= 100 -7.5 -2.5 0.25 2.5 Find M, and o, the mean and standard deviation of the sampling distribution of x: H= 25, 0=5, n= 10. M =25, o,=0.5 M =25, o,=1.58 M=2.5, o,=0.5 My=7.91, o,=1.58 B) A) Assume that the random variable X is normally distributed with mean = 52 and standard deviation = 10. Let n = 25. Find P(x>50). -0 0.16 0.84 D) A) B) C) D)...

  • Suppose we have 5 independent and identically distributed random variables X1, X2, X3, X4,X5 each with...

    Suppose we have 5 independent and identically distributed random variables X1, X2, X3, X4,X5 each with the moment generating function 212 Let the random variable Y be defined as Y = Σ Find the probability that Y is larger than 9. Prove that the distribution you use is the exact distribution, nota Central Limit Theorem approximation

  • in the north racial violence 1. (15pts) Consider the following data: 2 4 5 6 8...

    in the north racial violence 1. (15pts) Consider the following data: 2 4 5 6 8 P(x) 0.1 0.1 0.3 0.2 0.2 0.1 Step 1: The Expected Value E(X) is Round your answer to one decimal. Step 2: The Variance is Round your answer to at least two decimal places. Step 3: The Standard Deviation is Round your answer to at least two decimal places. Step 4: The value of POX>5) is Round your answer to one decimal. Step 5...

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