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answerhappygod
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Assume random variable X has Binomial probability distribution function with n = 49 and probability of success p. For different values of p, from 0.1 to 0.9 with increments of 0.1 (0.1, 0.2, ..., 0.9) perform the following tasks. 1. Take a random sample of 5000 from binomial distribution with n = 49 and given p. Estimate the probability of success and save it in a vector. 2. Approximate the sampling distribution of p_hat using histogram and fit a distribution curve using density function (two panels in the same figure with 2 by 2 panels). 3. Calculate absolute estimation error and visualize it using histogram (panel three of the same figure). 4. Use qqnorm to test the Normality of sampling distribution of p_hat (panel 4 of the same figure). 5. Calculate average p_hat and (p-p_hat) and save them. 6. Repeat from 1 for all values of p. Report Use the posted template for the report. One figure with 4 panels (2 by 2) for each value of p. A total of 9 figures. Organize two figures per page. A table with 9 rows (one for each p) and a header to show p, average p_hat, and their difference (p-p_hat). This table will be in the same page with figure 9.
Assume random variable X has Binomial probability distribution function with n = 49 and probability of success p. For different values of p, from 0.1 to 0.9 with increments of 0.1 (0.1, 0.2, ..., 0.9) perform the following tasks. 1. Take a random sample of 5000 from binomial distribution with n = 49 and given p. Estimate the probability of success and save it in a vector. 2. Approximate the sampling distribution of p_hat using histogram and fit a distribution curve using density function (two panels in the same figure with 2 by 2 panels). 3. Calculate absolute estimation error and visualize it using histogram (panel three of the same figure). 4. Use qqnorm to test the Normality of sampling distribution of p_hat (panel 4 of the same figure). 5. Calculate average p_hat and (p-p_hat) and save them. 6. Repeat from 1 for all values of p. Report Use the posted template for the report. One figure with 4 panels (2 by 2) for each value of p. A total of 9 figures. Organize two figures per page. A table with 9 rows (one for each p) and a header to show p, average p_hat, and their difference (p-p_hat). This table will be in the same page with figure 9.
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