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Suppose you believe that, in general, graduates who have majored in your subject are offered higher salaries upon graduating than are graduates of other programs. Describe a statistical experiment that could help test your belief.
Suppose that on a 100-point test, the goal is for the students' exam scores to have a standard deviation of less than 10 pts. A recent sample of 22 exams has a standard deviation of 12.1. Use alpha = 0.05.
How many subjects would you approximately need to reduce the length of the 95% confidence interval to 2 units?
Set up probability distribution by illustrating all x values and their associated probabilities. List sample space of tossing a fair coin.
IS there any evidence that a freshman's chances to graduate may depend upon what kind of high school the student attended? Describe.
A population whose shape is unknown has a median of 75. You selected a sample of 40. The standard deviation of the median is 5. Calculate the probability that the median of the sample or average medians is:
At α = 0.01 level of significance, test the hypothesis that these data can be described by a Poisson pdf.
If a statistics professor plans classes so carefully that the lengths of her classes are uniformly distributed between 48.0 and 53.0 minutes what is the probability that a given class period runs greater than 51.25 minutes.
The function that defines the probability distribution of a continuous random variable is a?For a continuous random variable x, the probability density function f(x) represents.
Why are estimations and confidence intervals important? Do confidence intervals and estimation play a role in the selection of sample size?
A group of employees at a large factory was asked to indicate their preference for one of two pension schemes. The table below gives the responses of three different categories of employees at the factory.
A building contractor pays $500 to bid on a contract. If he gets the contract, the probability of which he estimates to be 0.70, he will make a profit of $50,000.
What is the expected number of ticket holders that will fail to show for the flight? What is the probability that the airline will not have enough seats for all the ticket holders who show for the flight?
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