Let X have a binomial distribution with parameters n 25 and p. Calculate each of the following probabilities using...
Select: less than, greater than or equal to Let X have อ bnon ial distribution witn parameters n-25 and ρ Calculate each orthe following probabilities using the normal nation with the continuity correction to the cases ρ-0.5 0.6 and 0.8 and compare to the exact binomial probabilities calculated pro directly trarn the tarmula tar hn,p). (Round your answers ta tour decimal places.) (a) P(15X 20) P(15 s x s 20) P14.5 Normal 20.5) 0.S D.6 The nor nal approxim tion...
please show work 3. Let X have a binomial distribution with parameters n = 25 and p. Calculate each of the following probabilities using the normal approximation (with the continuity correction) for p = 0.8, and compare to the exact probabilities calculated from Appendix Table A.1. (b) P(X15) (a) P(15X 20) (c) P(X 20).
Let x be a binomial random variable with n = 20 and p = 0.05. Calculate p(0) and p(1) using Table 1 to obtain the exact binomial probability. (Round your answers to three decimal places.) p(0) = p(1) = Calculate p(0) and p(1) using the Poisson approximation. (Round your answer to three decimal places.) p(0) = p(1) = Compare your results. Is the approximation accurate? No the approximation is not accurate. At least one the differences between the probabilities from...
Topic: Normal approximation to binomial distribution Calculate the following probabilities using a normal approximation. P(9 ≤ X ≤ 12) where X ∼ B(21, 0.5) Please show work as I will studying it step by step, thanks.
Suppose that x has a binomial distribution with n = 200 and p = 0.42. (Round np and n(1-p) answers to 2 decimal places. Round your answers to 4 decimal places. Round z values to 2 decimal places. Round the intermediate value (o) to 4 decimal places.) (a) Show that the normal approximation to the binomial can appropriately be used to calculate probabilities about x. np n(1 – p) Both np and n(1 – p) (Click to select) A 5...
compute p(x) using the binomial probability formula. then determine whether the normal distribution can be used to estimate this probability. if so, p(x) using the normal distribution and compare the result with the exact probability. n=78, p= 0.83, and x=60 for n= 78, p= 0.83, and x=60, find P(x) using the binomial probability distribution. P(x) _. (round to four decimal places as needed.) can the normal distribution be used to approximate this probability? A. no, the normal distribution cannot be...
8Compute P(x) using the binomial probability formula. Then determine whether the normal distribution can be used to estimate this probability. If so, approximate P(x) using the normal distribution and compare the result with the exact probability. na 72. p-o.77, and x-56 Cli Cli e (page 1).1 page 2).2 For n-72, p-0.77, and x-56, find P(x) using the binomial probability distribution. P(x)- Can the normal distribution be used to approximate this probability? Round to four decimal places as needed.) O A....
Let X be a binomial random variable with n = 15 and p = 0.6. Calculate the following two probabilities, using an appropriate approximation method: • P(X = 4) • P(7 ≤ X < 10)
Compute P(x) using the binomial probability formula. Then determine whether the normal distribution can be used as an approximation for the binomial distribution. If so, approximate P(x) and compare the result to the exact probability. n = 50, p = 0.5, x = 25
Compute P(x) using the binomial probability formula. Then determine whether the normal distribution can be used as an approximation for the binomial distribution. If so, approximate P(x) and compare the result to the exact probability. n = 50, p = 0.5, x = 25