A distribution consists of three requencies 250, 300, 350 having neans 30, 15 and 20 and standard eviation 3, 4 and 5 respectively. Find ombined mean and standard leviation.
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- 1. Of all freshman at a Snow college, 16% made the dean's list in the current year. As part of a class project, students randomly sample 40 freshman and check if those students made the list. Calculate the probability your sample has more than 8 students from the dean's list. Check conditions (if one doesn't check out, note your concern and continue anyway), describe sampling distribution, state probability.Generate 10000 instances of a poisson (10) random variable and then compute the sample mean, sample variance, and sample standard deviation.Define Conditional variance?
- Help: Derive the CDF of a Geometric Random VariableInformation is provided for 3 different ways of getting from home to work in the morning. From A way: μA =34 minutes, 4-5.4 minutes; From B way: μ=31 minutes, 4-2 minutes; From C way: μ =32 minutes, 4-4 minutes. Which route should someone with 29 minutes of time take? Hint1. Define the commute time as a random variable X. Hint2. Use normal probability table. O a. B O b. A O c. Bor C O d. C O e. A or BIf the mean of 16, 11, 17, 10, a, 10, 13, 17, 9, and 16| is 13.1, then what's their median? Select one: Оа. 12.5 O b. None Ос. 12 O d. 11.5 Ое. 13
- Determine whether the given procedure results in a binomial distribution. If it is not binomial, identify the requirements that are not satisfied. Surveying 150 teenagers and recording if they have ever committed a crime Choose the correct answer below, O A. No, because there are more than two possible outcomes and the trials are not independent. O B. Yes, because all 4 requirements are satisfied. O C. No, because there are more than two possible outcomes. O D. No, because the probability of success does not remain the same in all trials. XLSX Click to select vour answer. 33283.xlsx Exit Honorlock 22 MacBook Air 888 F3 F6 F7 FB F10 %23 2$ % & 4 6 7 8. 9. E R Y U D F H K C B V>A manufacturing plant knows that in reality 80% of products made are perfect. An inspector selects four products at random. What is the mean number of perfect products in any sample of 4? It can be assumed that each product is independent of the others.8. The probability of a biased dice landing on 6 is 0.4, Find the mean and variance of the number of "sixes" in 50 throws. Express your answer in whole number