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Question: A drug that provides relief from headaches was tried on 18 randomly selected patients. The experiment showed that the mean time to get relief from headaches for these patients after taking this drug was 24 minutes with a standard deviation of 4.5 minutes. Assuming that the time taken to get relief from a headache after taking this drug is (approximately) normally distributed, determine a 95% confidence interval for the mean relief time for this drug for all patients.
How is the concepts related to the theory of hypothesis?
On a test, a sample of 5 students has a mean score of 78. The scores of four students of them are: 87, 81, 76, 53. Find the test score of the fifth student and standard deviation of this sample.
If appropriate, determine which methods differ in mean yields. At the 0.05 level of significance, is there evidence of a difference in the variation in yields among the different methods?
If employee is chosen at random, determine the probability that employee is female and salaried staff? Choose the best answer from the following.
What percentage of the overall sample did not smoke and had not ever been divorced?- Determine a complete set of row percentages.
the revenue in thousands of dollars from producing x units of an item is modeled by rx 10x - 0.001x2. find the average
What is the probability the proportion of successes in the sample will be greater than 0.22?
How will staying with single suppliers benefit a company in the long run? When multiple suppliers are used, where does the emphasis tend to be placed? How can a company be sure that its single-source suppliers will not fail to meet demand?
suppose you record data on these five variables for every student in your class place of residence dorm apartment with
According to an IRS study, it takes a mean of 330 minutes for taxpayers to prepare, copy and electronically file a 1040 tax form. This distribution of times follows the normal distribution and the standard deviation is 80 minutes.
An emergency room at a particular hospital gets an average of five patients per hour. A doctor wants to know the probability that the ER gets more.
Would you be willing to provide an example of both methods (step by step) described in your document for determining the forecast based upon the two different methods. Maybe just for one single city.
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