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A player has only one money unit and wishes to increase his fortune to five units. To do so, he plays independent repetitions of a game that, in case of a win, yields double the sum he betted. In case of a loss, he loses his bet. On each play, he bets an amount that, if he wins, enables him either to exactly reach his objective or to get as close as possible to it (for example, if he has three units, then he bets only one). We suppose that the game ends when the player either has achieved his target or has been ruined and that he has a probability equal to 1/2 of winning an arbitrary play.
(a) What is the probability that he reaches his target?
(b) What is the average number of repetitions needed for the game to end?
according to u.s. news amp world report data in 1995 tuition costs at indiana university a public university were 2984
Percentage distributions are useful in comparing two frequency distributions having different total frequencies. Construct percentage distributions from the following two frequency distributions and determine whether the distributions of daily ab..
a medical devices company wants to know the number of hours their mri machines are used per day. a previous study found
a professor at a loca community noted that the grades of hi s students were normally distrubuted with a mean of 74
Dertermine the probability that a male is a Major or a Colonel?
For your last homework assignment, one final visit to the bacteria in Bacteria.sav. As a reminder, the data contained in the file is as follows:Columns Description
A promotion campaign is being planned to encourage people to reduce heat in their houses at night. In order to measure the campaign's impact, we want to determine the proportion of people who reduce their heat at night.
If we want a 0.99 probability that the elevator will not be overloaded whenever 8 members are randomly selected as passengers, what should be the maximum allowable weight?
1. find the probability distribution for x the sum of a fair four sided die and and fair sixsided die. b for x from
Refer to Table 2.10 on death penalty decisions. Fit a logistic model with the two race predictors. a. Test the model goodness of fit. Interpret.
a. Will the total revenue on a day be normally distributed? b. What are the mean and standard deviation of the total revenue on a particular day? c. What is the probability that the revenue will exceed $7,000 on a particular day?
analysis of variance- one way classification.a pharmaceutical company wants to determine whether there is any
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