7.56. Let (Zn) be a branching process with Zo = 1 and expected family size μ < 1. Let N = 0 Zn be the total number of individuals in the process over all time. Show that 1 E{N} = 1 - μ [Hint: Count one for the initial individual, and re-assess the situation after the first family is born.]
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- A researcher designs an experiment using two drugs, she prepares 15 independent flasks of yeast growth medium and yeast cells. She adds tunicamycin (T) or caffeine (C) to 5 flasks each. Remaining 5 flasks get no drugs (ND). Doubling time of the yeast cells are measured in each flask, data is provided below: Test if mean doubling time is different than others in at least one growth condition (ND, T or C), using a non-parametric method and report an approximate p-value for the level of significance. What is the hypotheses and the assumptions of this test?Suppose the customers arrive at a Poisson rate of on eper every 12 minutes, and that the service time is exponential at a rate of one service per 8 minutes. What are the average number of customers in the system(L) and the average time a customer spends in the system(W)? Now suppose that the arrival rate increases 20 percent.What is the corresponding change in L and W?A researcher designs an experiment using two drugs, she prepares 15 independent flasks of yeast growth medium and yeast cells. She adds tunicamycin (T) or caffeine (C) to 5 flasks each. Remaining 5 flasks get no drugs (ND). Doubling time of the yeast cells are measured in each flask, data is provided below: Test if mean doubling time is different than others in at least one growth condition (ND, T or C), using F-test and report an approximate p-value for the level of significance. What is the hypotheses and the assumptions of this test?
- Assume that the entire sample has 2 positive observations and 6 negatives observations. Variable X1: at the left branch has 2 positive observations and 4 negatives observations;at the right branch has 6 positive observations and 6 negatives observations. What is the information gain or reduction in uncertainty of X1 using the Gini index? (round to two decimal spaces)A researcher designs an experiment using two drugs, she prepares 15 independent flasks of yeast growth medium and yeast cells. She adds tunicamycin (T) or caffeine (C) to 5 flasks each. Remaining 5 flasks get no drugs (ND). Doubling time of the yeast cells are measured in each flask, data is in the table. Test if mean doubling time is different than others in at least one growth condition (ND, T or C), using F-test and report an approximate p-value for the level of significance. What is the hypotheses and the assumptions of this test?In statistics, the range is computed as the difference between the minimum and maximum values Range(x) = Max(x) - Min(x) If the operatinal time of KAL CULAS graphics cards are each exponentially distribitued with a mean time of 32 months, compute the expected range of i.i.d. random variables X1, X2, X3, X4; where each random variable represents one graphics card to show your work set up all integrals correctly.
- Suppose that a random sample of 212 twenty-year-old men is selected froma population and that their heights and weights are recorded A regressiIon of weight on height yields Weight = (-105.3746) + 4.1764 × Height R30 859 S (2.2790) (0.3286) where Weight is measured in pounds and Height is measured in inches A man has a late growth spurt and grows 1.5900 inches over the course of a year. Construct a confidence interval of 80% for the person's weight gain. The 80% confidence interval for the person's weight gain is ( in pounds). (Round your responses to two decimal places.) (6) Enter your answer in each of the answer boxes.Many people believe that the daily change in price of a company's stock in the stock market is a random variable with mean 0 and variance o² during the middle 2 months between 2 earning report dates when there is not much news released. That is, if Yn represents the closing price of the stock on the nth trading day of that period, then Yn = Yn-1+Xn, for 1 ≤ n ≤ 60, where X₁, X2,..., X60 are independent and identically distributed random variables with mean 0 and variance o². Suppose that the stock price at the beginning of the 2-month period is 100. If o = 2, what is the approximate probability that the stock's closing price on the 30th trading day will exceed 110, i.e., what is P(Y30 > 110)Suppose the inter-arrival time of people using the elevator can be modeled as X ~ Exp(1/6) (in minutes). What is the distribution of the number of people waiting at an elevator in two minutes (since the last elevator left)? Hint: Let Tn be the time when the n-th person arrives at the elevator, and let N be the number of people waiting at time t, then P(N>=n) if and only P(Tn =n) and P(N>=n+1). The difference of the two gives you P(N=n).
- Customers arrive at Rich Dunn's Styling Shop at a rate of 2 per hour, distributed in a Poisson fashion Service times follow a negative exponential distribution, and Rich can perform an average of 6 haircuts per hour. a) The average number of customers waiting for haircuts=17) customers (round your response to two decimal places) b) The average number of customers in the shop customers (round your response to two decimal places) c) The average time a customer waits until it is his or her tumminutes (round your response to two decimal places).Suppose that the random change in value of a financial asset is X over the first day and Y over the second. Suppose also that Var(X) =18 and Var(Y) = 26 In this case, the total change in the value over these two days is given by X +Y. Do you have enough information to compute Var(X +Y)? If so, compute this value. If not, explain what additional information you need to do so.The time (in hours) required to repair a machine is exponentially distributed 1 with parameter 2 = = what is the probability that the repair time exceeds 3 3