Question 15Suppose that X is a negative binomial random variable withp=0.3 and r = 5.Determine P(X= 17)?0.0009970.938790.06121None

In question, Given that X is negative binomial random variable with p =0.3 and r=5. Then we'll find…

Answered: Question 15 Suppose that X is a…

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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3.1 4 help
3.3
3.33 For a 1 x 2 table (i.e., a single binomial Y based on n trials, with probabilities a and 1- 7), consider testing Ho: = 10. a. Show that the Pearson residuals are (у — ппо)//пло and - )- π0)/V (1- πο), which have differing absolute values when 7o + 0.50. b. Show that the standardized residuals are (y- nπ0)/Vηπρ(1- πο) and - y-ηπ)/ Vn πο(1 - πο). Explain why these are more suitable than Pearson residuals,
Please answer q's d, e (i) and (ii) For this case, a=3, b=9, and label the random variable A. Student ID number: 300546514
A random variable has CDF given by F₁ = { A i = 0, 1, 2 i = 3 if A = 0.55, then what is p3? Round your answer to two decimal places.
3.6.2 Suppose X is a negative binomial random variable with p=0.2, r=4. Find: a. E(X) b. P(X=20) c. Most likely value for X
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.
Suppose a simple random sample of size n=50 is obtained from the population whose size is N=10,000 and whose population proportion with the specified characteristic is p=.4. what is the probability of obtaining x=21 or more individuals with the characteristic? that P( p̂ ≥0.42)?
Consider a binomial random variable x- Binom(n.p) with n = 50 being the number of trials and p= 0.2 being the probability of success. Calculate P(X> 12) It is recommended that you use R for this calculation. Answer as a decimal and not a percentage. Accuracy required to 3 decimal places, e.g. 0.123.
9.3.1. N is the binomial (100, o.4) random variable. M is the binomial (50, 0.4) random variable. M and N are independent. What is the PMF of L = M + N?
Suppose a simple random sample of size n= 125 is obtained from a population whose size is N= 25,000 and whose population proportion with a specified characteristic is p = 0.8. Complete parts (a) through (c) below. (b) What is the probability of obtaining x = 105 or more individuals with the characteristic? That is, what is P(p20.84)? P(p20.84) = 0.1318 (Round to four decimal places as needed.) (c) What is the probability of obtaining x = 90 or fewer individuals with the characteristic? That is, what is P(ps0.72)? P(ps0.72) = | (Round to four decimal places as needed.)
Suppose it has previously been claimed that the proportion of adults in a certain city that have a university degree is 0.41, and suppose we wish to carry out a test of the null hypothesis that this is the true proportion. In a random sample of 1400 adults in this city, 587 have a university degree. What is the value of the appropriate Z test statistic? (Give your numeric response to at least 3 decimal places. Give only your numeric response, and not any extra characters or symbols. If the value is negative, include the negative sign)

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Question 15 Suppose that X is a negative binomial random variable withp=0.3 and r = 5. Determine P(X= 17)? 0.000997 0.93879 0.06121 None