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Each game you play is a win with probability p. You plan to play 5 games, but if you win the fifth game then you will keep on playing until you lose. (I think its geometric probabilty)
Find
1. Find the expected number of games that you play.
2. Find the expected number of games that you lose.
3. Find the expected number of games that you win.
206 randomly selected light bulbs were tested in a laboratory, 161 lasted more than 500 hours. Find a point estimate of the proportion of all light bulbs that last more than 500 hours.
For each of the following, indicate whether the type of probability involved is an example of a priori probability, empirical probability, or subjective probability.
What is the expected duration of the game? Given the same CIC, how much more money should Alice have ititially so as to maximize the expected duration of the game?
Explain this result (including the underlying logic of the computations) to a person who understands hypothesis testing involving a single sample and a known population, but knows nothing about t tests.
the emergency room at hsi serves patients who arrive according to a poisson distribution at the rate of 9 per hour.
the average teachers salary in noth dakota in 37764. assume a normal distribution with a population standard devation
it has been observed that some persons who suffer acute heartburn again suffer acute heartburn within one year of the
Laura wanted to build a multiple regression model based on advertising expenditures and Coffee Time's price index. Based on the selection of all normal values, she obtained the following:
Does all statistical data have a mean, median, or mode? Why? When is the mean the best measure of central tendency? When is the median the best measure of central tendency?
In this problem I am having an issue trying to determine what equation to use to solve. Is this a one or two way ANOVA or should I just use a z-test to solve?
Determine whether each of the distributions given below represents a probability distribution. Justify your answer.
How large a sample should be taken if the desired margin of error E is:
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