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Mean and standard deviation for 10 and for 12 policies
In fact, the insurance company sees that in the entire population of homeowners, the mean loss from ?re is μ = $300 and the standard deviation of the loss is σ = $400. What are the mean and standard deviation of the average loss for 10 policies? (Losses on separate policies are independent.) What are the mean and standard deviation of the average loss for 12 policies?
What is the probability that either of the company shows profit - which residents are most happy about where they are actually living? Explain.
Solve the following questions involving fundamental operations on polynomials. Solve the following problems involving applications of polynomials.
Prove d/dt(u(x(t),t))+tanh(x(t))(d/dx(u(x(t),t)))=0 u(x(t),0)=a(x(t)) limit as x tends to infinity of u(x,t)=0 has at most one solution.Explain why there is no boundary condition at x=0 and find a solution for the special case a(x(t))=sinh(x(t))
the expected value and the variance of the time until both are in the repair facility. In the long run, what proportion of time is there a working machine?
Formulate a hypothesis that can be used to determine whether the mean annual consumption in webster city is higher than the national mean.
(a) Consider a normal distribution with mean μ = 88. If 2% of the values lie below x = 50, find the standard deviation σ. (b) Consider a normal distribution with standard deviation σ = 15.6. If 10% of the values lie above x = 17.2, find the mean μ.
What are the theoretical parameters for the sampling distribution based on these 40 trains? Assume you are dealing with an infinite population of trains.
a new muscle relaxant is available. researchers from the firm developing the relaxant have done studies that indicate
Complete factorial analysis of variance in Smart Alex's Task #1 on p. 541, using the Fugazi.sav data set from the Field text. You can follow the steps outlined on pp. 520–525 as a guide.
correlation between the two variables.a store manager wishes to find out whether there is a relationship between the
project k costs 70000 its expected cash inflows are 16000 per year for 8 years and its wacc is 13. what is the projects
If the manufacturer's claim is true, what is the probability that the claim will be rejected?
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