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USA today reported that about 25% of all the state inmates released on parole become repeat offenders while on parone. suppose the parole board is examing five prisoners up for parole. let x= number of prisoners out of 5 on parole who become offenders. Find the probability distribution for x.
Suppose x follows a distribution with density function: f(x)=C*abs(x-2), 0 =
The Wilcoxon rank sum of the ranks for group and The value of the Wilcoxon signed rank statistic
We have already been introduced to sensitivity analysis via the geometry of a simple example. We saw that the values of the decision variables and those of the slack and surplus variables remain unchanged even though some coefficients in the objec..
The credit score of a 35 year old applying for a mortgage at Ulysses Mortgage Associates is normally distributed with a mean of 600 and a standard deviation of 100.
A random sample a 16 Google managers yield the following information on annual salaries. The sample mean is $69,000, with a sample standard deviation of $4,000. What is the mean salary of all Google managers?
Evaluate true mean delivery time to within 5 minutes at 90% reliability level? Suppose that standard deviation for delivery times is 18.2 minutes.
Probability of selecting a household with no children that is equal to the value obtained by the census. Give the z statistic (rounded to two decimal places) and the P-value. What do you conclude?
write down the hypothesis the test used the p-value and the interpretation then hand calculates a 95% CL for the odds ratio estimate on this last test.
Use a 95% CI to estimate the difference between the proportions of men and women managers who are married. Interpret the interval and what is the conclusion in terms of the populations from which the samples were drawn.
Find the probability that when 200 reservations are accepted, there are more passengers showing up than there are seats available. Is the probability of overbooking small enough so that it does no happen very often.
What is the relationship between the amount spent per week on food and the size of the family? Do larger families spend more on food?
What are the null and alternative hypothesis for this? What is a type II error in context of this test? Suppose that the researcher deceides not to reject the null hypothesis what sort of error might he be making?
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