I posted it earlier but it was wrong plz correct solution only i vil upvote It clinical trial was conducted to test the effectiveness of a drug for treating insomnia in older subjects, Before treatment, 15 subjects had a mean wake time of 104.0 min. After treatment, the 15 subjects had a mean wake time of 81.9 min and a standard deviation of 23.6 min. Assume that the 15 sample values appear to be from a normally distributed population and construct a 95% confidence interval estimate of the mean wake time for a population with drug treatments. What does the result suggest about the mean wake time of 104.0 min before the treatment? Does the drug appear to be effective? inical trial was conducted to test the effectiveness of a drug for treating insomnia in older subjects. Before treatment, 15 subjects had a mean wake time of 104.0 min. After treatment, the 15subjects had a mean wake time of 81.9 min and a standard deviation of 23.6 min. Assume that the 15 sample values appear to be from a normally distributed population and construct a 95%confidence interval estimate of the mean wake time for a population with drug treatments. What does the result suggest about the mean wake time of 104.0 min before the treatment? Does the drugappear to be effectiveConstruct the 90% confidence interval estimals of the mean wake time for a population with the treatment.min<

The question is aboutconfidence interval.Given :Randomly selected no. of subjects ( n ) = 15Sample…

Answered: Sonical trial was conducted to at the…

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter13: Probability And Calculus

Section13.2: Expected Value And Variance Of Continuous Random Variables

Problem 10E

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I posted it earlier but it was wrong plz correct solution only i vil upvote

It clinical trial was conducted to test the effectiveness of a drug for treating insomnia in older subjects, Before treatment, 15 subjects had a mean wake time of 104.0 min. After treatment, the 15 subjects had a mean wake time of 81.9 min and a standard deviation of 23.6 min. Assume that the 15 sample values appear to be from a normally distributed population and construct a 95% confidence interval estimate of the mean wake time for a population with drug treatments. What does the result suggest about the mean wake time of 104.0 min before the treatment? Does the drug appear to be effective?

inical trial was conducted to test the effectiveness of a drug for treating insomnia in older subjects. Before treatment, 15 subjects had a mean wake time of 104.0 min. After treatment, the 15
subjects had a mean wake time of 81.9 min and a standard deviation of 23.6 min. Assume that the 15 sample values appear to be from a normally distributed population and construct a 95%
confidence interval estimate of the mean wake time for a population with drug treatments. What does the result suggest about the mean wake time of 104.0 min before the treatment? Does the drug
appear to be effective
Construct the 90% confidence interval estimals of the mean wake time for a population with the treatment.
min<<m
(Round to one decimal place as needed)
What does the result suggest about the mean wake time of 104.0 min before the treatment? Does the drug appear to be effective?
The confidence interval
drug treatment
an effect
the mean wake time of 104.0 min before the treatment, so the means before and after the treatment
This result suggests that the

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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