Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us.(a) Suppose n = 37 and p = 0.17. Can we approximate p by a normal distribution? Why? (Use 2 decimal places.)пр —O be approximated by a normal random variable because---Select------Select------Select---and o0g? (Use 3 decimal places.)What are the values ofИp(b) Suppose n = 25 and p = 0.15. Can we safely approximate p by a normal distribution? Why or why not?O be approximated by a normal random variable because---Select------Select------Select---(c) Suppose n = 54 and p = 0.17. Can we approximate p by a normal distribution? Why? (Use 2 decimal places.)пр 3= buO be approximated by a normal random variable because---Select------Select------Select---What are the values of u, and o,? (Use 3 decimal places.)<>

Answered: Suppose we have a binomial experiment…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Let a be a random variable representing the percentage of protein content for early bloom alfalfa hay. The average percentage protein content of such early bloom alfalfa should be u = 17.2%. A farmer's co-op is thinking of buying a large amount of baled hay but suspects that the hay is from a later summer cutting with lower protein content. A small amount of hay was removed from each bale of a random sample of 50 bales. The average protein content from the samples was determined by a local agricultural college to be -15.8% with a sample standard deviation of S = 5.3%- At a = .05, does this hay have lower average protein content than the early bloom alfalfa?
Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us. Refer to screenshot. (a) Suppose n = 27 and p = 0.23. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.) for the second part the options are: (Yes, no) p̂ (can, cannot) be approximated by a normal random variable because (np exceeds, np and nq do not exceed, nq exceeds, nq does not exceed, both np and nq exceed, np does not exceed) ___________ (fill in blank). What are the values of ?p̂ and ?p̂? (Use 3 decimal places.)
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Suppose that the random variable X is the number of successes in a Bernoulli process of 12 trials with probability of success 0.36. Choose one from the following which is closest to the correct answer. O c. P(X ≥ 9) = 0.0011. O b. P(X> 9) = 0.0011. O d. P(X> 9) = 0.001. O e. P(X ≤ 9) = 0.993. O a. P(X < 9) = 0.9989.
I asked this question before, and got an answer, but I have a question about the response that was given. The original question was: For an initial investment of 100, an investment yields returns of X1 and X2, where X1 and X2 are independent normal random variables with mean 60 and variance 25. What is the probability that the rate of return of this investment is greater than 10%? In the answer that was given it says that the gain of the investment is X1+X2. My question is why can we just group those together as one amount? I was given a formula in my class that says the return on the investment would be the solution to the equation: -100+ X1/(1+r) + X2/(1+r)2=0. If this formula is used, a different solution would result for this problem.
You are to roll a fair die n = 120 times, each time observing if the topside of the die shows a 6 (success) or not (failure). After observing the n = 120 tosses, you are to count the number of times the topside showed a 6. This count is represented by the random variable X. (a) The distribution of X ? with a mean and a standard deviation Enter your answer using all the decimals you can. (b) Now think about the proportion of your n = 120 tosses that show a six. What can you say about the distribution of this proportion? Complete the sentence, Enter your answer using all the decimals you can. The distribution of ? with a mean and a standard deviation σ you can. ☐ 2 2 ☐ (c) What is the probability that the proportion/percentage of your n = 120 tosses that show a six will be somewhere between 15% and 22%? Enter your answer using all the decimals you can. (d) After the n = 120 tosses of the die, you observe X = 27, the value of the sample proportion is then = 270 = 0.225. What is the…
Hi could fill out the blanks for me
Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us. (a) Suppose n = 30 and p = 0.25. Can we approximate p by a normal distribution? Why? (Use 2 decimal places.) np = 7.5 ng = Yes be approximated by a normal random variable because both np and nq exceed v can What are the values of , and o? (Use 3 decimal places.) (b) Suppose n = 25 and p = 0.15. Can we safely approximate p by a normal distribution? Why or why not? No ,p cannot be approximated by a normal random variable because np does not exceed (c) Suppose n = 51 and p = 0.24. Can we approximate p by a normal distribution? Why? (Use 2 decimal places.) np = nq = Yes be approximated by a normal random variable because both np and nq exceed can What are the values of u, and o,? (Use 3 decimal places.) LO
Suppose we have a binomial experiment in which success is defined to be a particular quality or attribute that interests us. (a) Suppose n = 27 and p = 0.37. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.) np = nq = ---Select--- Yes No , p̂ ---Select--- cannot can be approximated by a normal random variable because ---Select--- np does not exceed both np and nq exceed np exceeds nq does not exceed nq exceeds np and nq do not exceed .What are the values of μp̂ and σp̂? (Use 3 decimal places.) μp̂ = σp̂ = (b) Suppose n = 25 and p = 0.15. Can we safely approximate p̂ by a normal distribution? Why or why not? ---Select--- Yes No , p̂ ---Select--- cannot can be approximated by a normal random variable because ---Select--- nq does not exceed np does not exceed np and nq do not exceed nq exceeds np exceeds both np and nq exceed .(c) Suppose n = 61 and p = 0.33. Can we approximate p̂ by a normal distribution? Why? (Use 2 decimal places.)…

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