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Using Excel find the probability value for the given data
Dice Probabilities:
A common dice game called craps is played in several variations, resulting in an infinitely large probability tree. To see some of the results associated with large probability tree. To see some of the results associated with large probability trees, consider the following single die game, similar to creaps, which we will call scraps.
A player rolls a single die, if the player rolls 2 or 6, he wins. If the player rolls a 1 he loses. With any other result the player rolls again. If his second roll matches his first roll, he wins. If he 2nd roll is 1,2 or 6, he loses. If the player does not win or lose on his second roll he continues to roll, using the same criteria given for the second roll.
i.e. 6 wins 3 4 6 loses 1 loses 3 5 2 loses 3 5 4 3 wins 3 3 wins 2 wins 5 3 3 3 3 4 5 wins
Play 100 games of scraps and empirically determine an estimate for the probability of winning.
The budgeting process for a Midwestern college resulted in expense forecasts for the coming year (in $ millions) of $9, $10, $11, $12, and $13. Since the actual expenses are unknown, the following respective probabilities are assigned: .3, .2, .25..
Would the null hypothesis be accepted or rejected in this case?
Then estimate demand again with a weighted moving average in which sales in the most recent year are given a weight of 2 and sales in the other two years are each given a weight of 1.
Using the data for women, complete an analysis of CHD incidence in women similar to the one completed for men.
(a) Use the steps of hypothesis testing, (b) figure the effect size for the study; and (c) explain your answers to (a) and (b) to someone who has never had a course in statistics.
Utilizing a binominal experiment, that is each trail can be reduced to two outcomes, construct a binomial distribution.
Use a decision tree to describe the possible strategies and the consequences (or payoffs) of each. Show your decision tree.
Construct the 90% confidence interval for the true population proportion of all voters in the state who favor approval.
How many individuals will it need to sample to achieve this level of accuracy and confidence?
Consider the following estimated regression equation, based on 10 observations.
With a Rejection Region of 8, 9 or 10, what is the probability of a Type II error, if the job applicant has a probability of identifying the odd sample with p = 0.5?
Is there a difference in the mean allowances nationally and the mean allowances in northwestern Ohio for nine-year-olds?
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