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One person has 3 dollars to gamble; each time he uses only one dollar, the probability is 60% to lose and 40% to win. If he accumulates 5 dollars or loses 3 dollars, he will stop the gamble. Using transition matrix to estimate how many times he will play to finish the gamble. What is the probability to finish the gamble(get $5 or $0) You will have to provide the following answers:
a. chart of the markov chain and transition matrix
b. how many times to finish the gamble
c. probability to finish the gamble
Katie is studying aggression among adolescent girls. She believes that there is a relationship between the level of interaction a girl has with her mother and her level of aggression.
Determine the probability of randomly selecting 10 production employees on hot summer day and determining that none of them are absent?
Calculate the mean number and median number of apples in a bag.
sixty percent of all vehicles examined at a certain emissions inspection station pass the inspection. assuming that
Government or organization whose effectis to prevent specific from reaching equilibrium. What evidence of excess supply or excess demand can you cite in these examples?
truck tire life is normally distributed with a mean of 60000 miles and a standard deviation of 4000 miles. what is the
Perform all pairwise comparisons among the three programs, using a Tukey adjustment and an overall significance level of 0.05, then interpret all your results.
Given a sequence of independent flips of such a coin, derive a simple expression for the probability that the next flip will be a head.
The mean life time of the sample of 160 tires will be less than 39,000 miles? Interpret the probability in terms of the truth of the manufacturer's claim.
In Part A of this assignment, you selected a random sample of 30 StatCrunch U students and created a StatCrunch file containing data from the above survey for those students. You will use the StatCrunch data file you created in Part A to complete thi..
question suppose a null hypothesis is that the population mean is greater than or equal to 100. suppose further that
The sample mean life is 805 hours with 64 hours of the sample standard deviation. Is there enough evidence to conclude that the manufacturer's claim is true at the 5% significance level?
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