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Compute a 99% confidence interval for the population mean, based on the sample 52, 50, 51, 54, 55, 52 and 53.
Find a 99%. confidence interval for the difference between the average grades for the two courses. Assume the populations to be approximately normally distributed with equal variances.
Looking at the data, you suspect that the manufacturer is incorrect in its label claim. You want to perform hypothesis testing to prove or disprove it.
You are given the sample mean and the sample standard deviation. use this information to construct the 90% and 95% confidence intervals for the population mean.
What method has been used to transform Model 1 to Model 2? Equations for Model 1 and Model 2 are as follows:
The sales of the bicycle (in thousands of dollars) and also the levels of media expenditure (in thousands of dollars) during the test month are recorded. State the multiple regression equation.
Is the gender distribution for theater goers significantly different from the distribution for the general college? Test at the .05 level of significance.
deliverable length 2 paragraphs 300 words.sample size determinationdetermining sample-size is important step when
lowering the price does not decrease this behavior and we should not decide to lower prices based on this research." Comment on the executive's conclusion. What type of inference is being made? Will the decision not to lower prices be a good one.
A certain company relies heavily on phone orders. Suppose past records show that R% of all incoming phone calls to this company are orders from customers.
Experience has shown a company that the cost of delivering a small package within 24 hours is $14.80. The company charges $15.50 for shipment but guarantees to refund the charge if delivery is not made within 24 hours.
A truck without thelp from the truck driver (2hours per truck with the truck drivers help) Assuming M/M1:FCFS/8/8 model: What is the probability of 0,1 or 2 trucks in need of repair at any one time?
If wages were increased by $1.00, what is the expected effect on the number of complaints received per employee? How can you tell?
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