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4. Do the followings with R: a. Create a plot of the pf of X. b. Create a plot of the cdf of X. c. Draw a random sample of size 1000 from Binomial(n = 3, p = 0.4). Then plot a histogram calculate the sample mean and the sample variance. Comment briefly on these outputs comp

4. Do the followings with R: a. Create a plot of the pf of X. b. Create a plot of the cdf of X. c. Draw a random sample of size 1000 from Binomial(n = 3, p = 0.4). Then plot a histogram calculate the sample mean and the sample variance. Comment briefly on these outputs comp

Algebra and Trigonometry (MindTap Course List)
Algebra and Trigonometry (MindTap Course List)
4th Edition
ISBN:9781305071742
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter14: Counting And Probability
Section14.2: Probability
Problem 3E: The conditional probability of E given that F occurs is P(EF)=___________. So in rolling a die the...
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just q 4's a b and c please thank you

Q1. Suppose we toss a coin 3 times. We denote head as “H" and tail as "T". We assume the probability of head is Р(Н) — 0.4. Let X be the number of "H*s. 1. What are the possible values of X? Find the probability function (pf) of X, which is defined by P(X = k) for every possible value k. Check that EP(X = k) = = 1. k 2. Find the cumulative distribution function (cdf) of X. 3. Calculate the expectation and the variance of X. 4. Do the followings with R: a. Create a plot of the pf of X. b. Create a plot of the cdf of X. c. Draw a random sample of size 1000 from Binomial(n = 3,p= 0.4). Then plot a histogram and calculate the sample mean and the sample variance. Comment briefly on these outputs compared to the results from question 1–3.
Transcribed Image Text:Q1. Suppose we toss a coin 3 times. We denote head as “H" and tail as "T". We assume the probability of head is Р(Н) — 0.4. Let X be the number of "H*s. 1. What are the possible values of X? Find the probability function (pf) of X, which is defined by P(X = k) for every possible value k. Check that EP(X = k) = = 1. k 2. Find the cumulative distribution function (cdf) of X. 3. Calculate the expectation and the variance of X. 4. Do the followings with R: a. Create a plot of the pf of X. b. Create a plot of the cdf of X. c. Draw a random sample of size 1000 from Binomial(n = 3,p= 0.4). Then plot a histogram and calculate the sample mean and the sample variance. Comment briefly on these outputs compared to the results from question 1–3.
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