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Let X be a random variable with probability density distribution given by
f(x) = { x, 0 (less than or equal to) x (less than or equal to) 1,1, 1 < x (less than or equal to) 1.50, otherwise.
Find the probability density function of Y=10X - 4.
In a recent study, a random sample of children in grades two through four showed a significant negative relationship between the amount of homework assigned and student attitudes. What is the explanatory variable and what is the response variable?
What will be critical value of chi-square if test is to be performed at 0.025 level? At the 0.05 level?
You conduct a hypothesis test and you observe values for the sample mean and sample standard deviation when n = 25 that do not lead to the rejection of H0. You calculate a p-value of 0.0667.
Let's play a game. An urn contains five red, four green and one gold ball other than color, the balls are identical. You are blindfolded and allowed to pick a ball from the urn. Red pays $5, green pays $10 and gold pays $50.
The following regression equation and correlation coefficient were calculated using minitab for the bivariate data age of men and their weight.
Construct a 95% confidence interval for the average amount its credit card customers spent on their first visit to the chain's new store in the mall assuming that the amount spent follows a normal distribution.
Black Hole Pizza Parlor instructs its cooks to put a "handful" of cheese on each large pizza. A random sample of six such handfuls were weighed.
Extra college-level training, and rest of the sailors arn't accounted for. How does your sample compare to what you expected to determine? Define null hypothesis.
Using the Wilcoxon Signed-Ranks Test. Paired sample data and use the Wilcoxon signed-ranks test to test the claim that the matched pairs have differences that come from a population with a median equal to zero.
Examine the plot of the regression residuals against t. Is there a tendency for the residuals to have long positive and negative runs? To what do you attribute this phenomenon?
The demand, D, on any given day is uniformly distributed over [80,140]. How many units should the retailer order to maximize expected profit?
My question bout How do I use the TINV function within excel to back out the t-statistic for the test? Why did you use the TDIST function? I know ho to use the TINV function, but what does it mean to back out the t-statistic for the test?
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