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Let X = duration of Old Faithful geyser (in seconds), and let Y = time (in minutes) until next eruption Is there a relationship between X and Y ? What is P (a < X < b; c < Y < d)?
The following confidence interval is obtained for a population proportion, p:(0.458, 0.490). Use these confidence interval limits to find the point estimate, p-hat.
There are three flight phases. At α = 0.05, is the cockpit noise level independent of flight phase?
Develop an appropriate forecast model for the given problem whereas the student population has remained constant during this period.
We have a box of 12 light bulbs. The probability that a particular light bulbs lights on opening is 0.95. This meets the binomial assumptions. Find the probability that 9 light bulbs light up.
Assume the chief does not want his officers to cite a car for speeding unless they are 99% sure that it is travelling at 58 miles per hour or faster. What is the minimum estimate of speed at which a car should be cited for speeding?
Mean of $62000 per year and a standard deviation of $5000 per year. what percent of police officers make: what salary represents the top 5%?
For the most recent year available the mean annual cost to attend a private university in the US was $26,889. Assume the distribution of annual costs follows a normal probability distribution and the standard deviation is $4,500. 95% of all studen..
Bonus is sales are made to 3 of the neighbors, and $200 if he able to sell to 4 neighbors. In how many ways can edwards make bonuses greater than $50?
Random sample of 100 voters showed that 55 of those sampled will vote for her. Is it likely that her assertion is correct at the 0.05 level of significance?
Is this sample sufficient to conclude that the eye spots have a significant influence on the birds behavior? Use a two tail test with alpha =.05. Compute the estimated Cohen's d to measure the size of the treatment.
What are some of the words that form clues? How does one know what is a population parameter and a test statistic?
Suppose in a population of 100,000, the probability that an individual will die from bird flu in a given winter is .00009. If the data fits a Poisson distribution, then the mean number of people in that population that will die from bird flu in on..
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