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Suppose you work for a pharmaceutical company that is testing a new drug to treat ulcerative colitis. You conduct a random sample of 32 patients on the new drug and 14 of them indicated a decrease in symptoms since starting the drug regimen. You construct a 99% confidence interval for this proportion to be ( 0.2112 , 0.6638 ). What is the correct interpretation of this confidence interval?
1) We are 99% confident that the proportion of patients surveyed that have experienced a reduction in symptoms is between 0.2112 and 0.6638.
2) We are certain that 99% of patients will be between 0.2112 and 0.6638.
3) We cannot determine the proper interpretation of this interval.
4) We are 99% confident that the proportion of all patients on the drug regimen that have experienced a reduction in symptoms is between 0.2112 and 0.6638.
An advisory group decided to investigate this claim, believing it was too large. A sample of 200 traffic accidents this year showed 74 persons were also involved in another accident within the last five years. Use the 0.01 significance level. Show..
Determine the probability that of a Type I error using decision rule if population mean is in fact 800 kilowatts per day?
Calculate the expected value and standard deviation of the value.
Use this information to compute a 95% confidence interval for average number of credit cards carried by students.
Determine the range and standard deviation of the times.
A. Determine the regression equation. B. Determine the estimated sales if 40 contacts are made.
Determine the probability that their SAT scores will differ by more than 50 points?
It is suspected that the mean turnover has changed and is not 6.0. Use the .05 significance level. State the decision rule.
Using a 5% level of significance, can we say that, generally there is important difference between satisfaction levels of mid country residents and coastal residents?
For the following scores, find the (A) mean, (B) median, (C) sum of squared deviation (d) variance, and (e) standard deviation:
Find the standard normal area for each of the following: (Round the answers to 4 decimal places.)
A manufacturing process makes items whose weights are normally distributed. It is known that 22.57% of all the items made weigh between 100 grams up to mean and 49.18% weigh from the mean up to 190 grams. Find out the standard deviation.
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