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Question 1. There is a new drug that is used to treat leukemia. The following data represents the remission time in weeks for a random sample of 21 patients using the drug.
State the Test Statistic of: Let X be a random variable representing the remission time in weeks for all patients using the new drug. Assume that the distribution of x is normal. A previously used drug treatment has a mean remission time of 12.5 weeks. Does the data indicate that the mean remission time using the new drug is different from 12.5 week at a level of significance of 0.01?
Evaluate the result in part c with the decision using the expected value approach.
How is the null hypothesis chosen (why is it null)? What is the importance of rejecting the null hypothesis in relation of the sample to the population?
What is the probability that between 30 and 40 of the delinquents will commit another crime?
A doctor suspected that smokers between 40 and 50 with lung disease had been smoking on average more than 20 years - significance level is there sufficient evidence to justify the doctors belief?
What will be critical value of chi-square if test is to be performed at 0.025 level? At the 0.05 level?
Use a 0.05 significance level to test the claim that unfiltered king-size cigarettes have a mean tar content greater than that of filtered 100 mm cigarettes.
The time in minutes until the paint was dry enough for a second coat to be applied was recorded. The following data were obtained. Test to see whether the mean drying time is the same for each type of paint.
The time needed for college students to complete a certain paper-and-pencil maze follows a Normal distribution, with a mean of 70 seconds and a standard deviation of 15 seconds.
Atlanta Company stock is expected to follow an exponential growth rate. The relationship between the current stock price P0
Fifteen weeks later we learn that Jasmine did, indeed, pass the course. What is the probability that she was enrolled in Professor Normal"s section?
Before 1918, in a random sample of 11 wolves spotted in the region, what is the probability that 8 or more were male?
If the manager decides to spend $3000 on advertising, based on the simple linear regression results given above, what would the estimated sales be?
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