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Question: SWITCHING INTERNET SERVICE PROVIDERS (ISPS) According to a survey conducted in 2004 of 1000 American adults with Internet access, one in four households plans to switch ISPs in the next 6 months. Of those who plan to switch, 1% of the households are likely to switch to a satellite connection, 27% to digital subscriber line (DSL), 28% to cable modem, 35% to dial-up modem, and 9% don't know what kind of service provider they will switch to.
a. What is the probability that a randomly selected survey participant who was planning to switch ISPs will switch to a dial-up modem connection?
b. What is the probability that a randomly selected survey participant will upgrade to high-speed service (satellite, DSL, or cable)?
Write three quadratic equations, with a, b, and c (coefficients of x2, x, and the constant) as:
let x and y be independent geometric distributions. u minxy v x - ya show that u and v are independentb find the
A universal life policy provides a death benefit equal to the account value plus 50 000. Monthly premiums are 3000. Find AV74 and COI73.
a data set with 7 observations yielded the following. use the simple linear regression model.greek letter capital sigma
4 prizes of $350, & 1 prize of $1000. Assume that 15,000 lottery tickets are issued and sold for $1.00. What is the lottery's expected profit per ticket?
Cletus Inc. plans to overhaul the cafeteria menu and has formed a four person team to evaluate alternatives. Calculate the importance score sum for option A?
Create a histogram over five class intervals.
q1. for this assignment you will be provided with 2 clinical research questions on sample size and one published
After these additives are mixed, an equal amount of base is added for each color. The company currently has 1000 gallons of A1, 1500 of A2, 2000 of A3, and 4000 of base. Given that the selling price per gallon for each type on ink is the same, for..
discuss the requirements of a linear programming lp model. provide an example of an lp model and define each variable
A sample of 10 electronic tubes produced by a company showed a mean lifetime of 1200 hours and a standard deviation of 100 hours. estimate the mean and the standard deviation of the population of all such tubes produced by the company?
The first week he called 200 people, but only made 10 sales. Should he suspect he was misled about the true success rate? Explain.
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