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A Department of Trasporta repot about air travel found that nationwide, 76% of all flights are on time. Base the following questions on 125 randomly selected flights. You may assume teh only outcomes are that a flight is eitehr late or is on time
What is the probablity that you will have have excatly 80 flights on time?What is the probablity taht you will have 20 or less fligths taht are late?What ist eh probablity that you will have more than 100 on time?
A deck of cards contains 52 cards, 13 in each of four suits (hearts, diamonds, clubs and spades). Suppose you have been dealt five cards without replacement from a randomly shuffled deck of cards. Find the probability that al five cards are hearts..
What is the critical value at .1 significance? Can we conclude the mean lifetime of light bulbs made by this manufacturer differs from 48 months?
What is the probability that a randomly chosen package is improperly sealed?
Construct a 96% confidence interval for the mean weight of all firefighters six months after the exercise rooms were installed.
Determine the expected frequencies for each of the cells in the following contingency tables. For each problem, state how many of the expected values actually had to be computed and how many could be found by subtraction.
Why might the assumption of independence be violated? (b) Why might a driver be tempted not to use a seat belt "just on this trip"?
Find the percentage of the total variation that cant explained by the linear relationship between the two variable.
Define null and alternative hypothesis and, using sample info. Test manufacturer's claim at 0.01 (1%) level of significance.
The standard deviation of all possible x values is called the?
For a random sample of 12 days at the Downtown location, the mean number sold was 78.80 and the standard deviation was 14.25. At the .05 significance level, is there a difference in the mean number of hamburgers sold at the two locations?
When would you use a two population test with a small sample size at your place of employment, in your education, or in politics?
Sales of a product are influenced by the salesperson's level of education and gender, as well as consumer income, ethnicity, and wealth.
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