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Select a random variable to represent the category. Produce a probability mass function for that variable, and use it to compute the mean, the median and the variance of the data in the data set. Show the probability mass function, both in tabular and graphical forms (NOT by histograms) properly labelling the x-axis.
A farmer in Iowa owns 45 acres of land. He is going to plant each acre with wheat or corn. Each acre planted with wheat yields $200 profit, requires 3 workers, and requires 2 tons of fertilizer; each with corn yields $300 profit, requires 2 worker..
FBI Report Do greater universities tend to have more property crime, would you speek that the correlation is low, moderate or high
Assume that the measurements came from a normal distribution. The variability of the manufacturing process is unknown means the same as the standard deviation is unknown.
Below are one hundred pseudorandom numbers from a uniform pdf. Set up and test the appropriate goodness-of-fit hypothesis. Let α = 0.05.
In this table, my research is about the average amount of money people expect to spend on attomeys when they are injured. Is there a difference, depending on type of injury? Do people expect to spend more when the injury happened in a car, on job,..
To test whether there is significant mean difference between two groups using independent sample t test.
What sample size must you take to be 96% confident that the results will be within $.75 of the true mean cost per call?
Use normal approximation to determine probability that x = 2. Illustrate all work.
A point estimate for the difference between the mean purchases of the users of the two credit cards is:
Does the normal distribution yield a good approximation of the actual results?
Let A be the event that a randomly chosen employee has a college degree and B the event that the chosen employee's income is more than $50,000.
Let us speek where the preceding data are representative of the entire sector of retail sales companiesSuppose the annual profits are more than 6.5 thousand $ every employee.
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