Bytelearn - cat image with glassesAI tutor

Welcome to Bytelearn!

Let’s check out your problem:

A clinical trial was conducted to lest the eflectiveness of a drug for treating insomnia in obler subjocts. Before treatment, 20 subjects had a mean wake time of 101.0 min. After treatment, the 20 subjects had a mean wake time of 
78.7min and a standard deviation of 
23.2min. Assume that the 20 sample values appear to be from a normally distributed population and construct a 
90% confidence interval estimate of the mean wake time for a population with drug treatments. What does the resull suggest about the mean wake time of 101.0 min before the treatment? Does the drug appear fo be effective?
Construct the 
90% confidence interval estimate of the mean wake time for a population with the treatment.

◻_(min) < mu < ◻min
(Round to one decimal place as neoded)

A clinical trial was conducted to lest the eflectiveness of a drug for treating insomnia in obler subjocts. Before treatment, 2020 subjects had a mean wake time of 101101.00 min. After treatment, the 2020 subjects had a mean wake time of 78.7 min 78.7 \mathrm{~min} and a standard deviation of 23.2 min 23.2 \mathrm{~min} . Assume that the 2020 sample values appear to be from a normally distributed population and construct a 90% 90 \% confidence interval estimate of the mean wake time for a population with drug treatments. What does the resull suggest about the mean wake time of 101101.00 min before the treatment? Does the drug appear fo be effective?\newlineConstruct the 90% 90 \% confidence interval estimate of the mean wake time for a population with the treatment.\newline \square{\min }<\mu<\square \min \newline(Round to one decimal place as neoded)

Full solution

Q. A clinical trial was conducted to lest the eflectiveness of a drug for treating insomnia in obler subjocts. Before treatment, 2020 subjects had a mean wake time of 101101.00 min. After treatment, the 2020 subjects had a mean wake time of 78.7 min 78.7 \mathrm{~min} and a standard deviation of 23.2 min 23.2 \mathrm{~min} . Assume that the 2020 sample values appear to be from a normally distributed population and construct a 90% 90 \% confidence interval estimate of the mean wake time for a population with drug treatments. What does the resull suggest about the mean wake time of 101101.00 min before the treatment? Does the drug appear fo be effective?\newlineConstruct the 90% 90 \% confidence interval estimate of the mean wake time for a population with the treatment.\newlinemin<μ<min \square{\min }<\mu<\square \min \newline(Round to one decimal place as neoded)
  1. Identify Given Information: Identify the given information.\newlineWe have a sample size nn of 2020 subjects, a sample mean xˉ\bar{x} of 78.778.7 minutes, and a sample standard deviation ss of 23.223.2 minutes. We want to construct a 90%90\% confidence interval for the population mean wake time μ\mu after treatment.
  2. Determine Distribution: Determine the appropriate distribution to use.\newlineSince the sample size is less than 3030 and we do not know the population standard deviation, we use the t-distribution to construct the confidence interval.
  3. Find T-Value: Find the t-value that corresponds to a 90%90\% confidence level for a t-distribution with n1n-1 degrees of freedom.\newlineFor a 90%90\% confidence interval and 1919 degrees of freedom (n1=201n-1 = 20-1), we look up the t-value in a t-distribution table or use a calculator with inverse t-distribution functionality. The t-value for a two-tailed test at 90%90\% confidence is approximately 1.7291.729.
  4. Calculate SEM: Calculate the standard error of the mean (SEM).\newlineSEM=snSEM = \frac{s}{\sqrt{n}}\newlineSEM=23.220SEM = \frac{23.2}{\sqrt{20}}\newlineSEM23.24.472SEM \approx \frac{23.2}{4.472}\newlineSEM5.188SEM \approx 5.188
  5. Calculate ME: Calculate the margin of error (ME).\newlineME=t-value×SEMME = t\text{-}value \times SEM\newlineME=1.729×5.188ME = 1.729 \times 5.188\newlineME8.968ME \approx 8.968
  6. Construct Confidence Interval: Construct the confidence interval.\newlineLower limit = xˉME\bar{x} - \text{ME}\newlineLower limit = 78.78.96878.7 - 8.968\newlineLower limit 69.7\approx 69.7 (rounded to one decimal place)\newlineUpper limit = xˉ+ME\bar{x} + \text{ME}\newlineUpper limit = 78.7+8.96878.7 + 8.968\newlineUpper limit 87.7\approx 87.7 (rounded to one decimal place)
  7. Interpret Results: Interpret the results.\newlineThe 9090\% confidence interval estimate for the mean wake time after treatment is between 69.769.7 minutes and 87.787.7 minutes. Since the interval does not include the mean wake time of 101.0101.0 minutes before treatment, this suggests that the drug treatment has effectively reduced the mean wake time.

More problems from Interpret confidence intervals for population means