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The average number of daily emergency room admissions at a hospital is 85 with a standard deviation of 37. In a simple random sample of 30 days, what is the probability that the mean number of daily emergency admissions is between 75 and 95?
The scores of college-bound senior men on the math part of the SAT followed a normal distribution with mean 527 and standard deviation 116.
Order pizza with this new crust again. Calculate a 98% confidence interval for the proportion of customers who would order the new thin crust pizza again.
The average income of 11 families who reside in a rural area of the Midwest is $60,213, with a standard deviation of $2009. At α =0.05, can it be concluded that the families who live in the cities have a higher income than those who live in the ru..
Z score on comparison distribution for sample score and your conclusion. Suppose that all population are normally distributed.
For machine gun ammunition to be acceptable, the US Army requires that 96 percent of rounds fired hit a specified target. The test is to fire a 50 round burst at the target and observe whether this condition is met.
If you estimate a regression using OLS, but you do not include an intercept, do you know if the mean of the residuals is zero? Explain.
If 16 measurements are taken and the standard deviation is 2.1 mg/dl is there enough evidence to support the claim that her standard deviation is greatear than the target at a = 0.01?
Testing for equality of variances - Independent random samples were taken from normal distributions of the yearly production of ships built by the International Ship Building Company under
A test of hypothesis is conducted at the .05 level of significance to test either or not the population correlation is zero.
What is the critical F value for a sample of four observations in the numerator and seven in the denominator?
The mean number of cups was 5 with a standard deviation of 1.5 cups. The distribution was normal. What proportion of students drank 7 or more cups of coffee per day?
The resulting equation for the line of best fit is given below, with x being observed for values between 10 and 200. If a production run was scheduled to produce 80 units, what would you predict the cost per unit to be in dollars?
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