Martha believes that a relaxation technique involving visualization will help people with mild insomnia fall asleep faster. She randomly selects a sample of 20 participants from a group of mild insomnia patients and randomly assigns 10 to receive visualization therapy. The other 10 participants receive no treatment. Each participant then is measured how long (in minutes) it takes him or her to fall asleep. 2. Data: No Visualization treatment Treatment 22 19 18 17 27 24 20 21 23 27 26 21 22 23 24 18 27 19 22 22

Martha believes that a relaxation technique involving visualization will help people with mild insomnia fall asleep faster. She randomly selects a sample of 20 participants from a group of mild insomnia patients and randomly assigns 10 to receive visualization therapy. The other 10 participants receive no treatment. Each participant then is measured how long (in minutes) it takes him or her to fall asleep. 2. Data: No Visualization treatment Treatment 22 19 18 17 27 24 20 21 23 27 26 21 22 23 24 18 27 19 22 22

Name: d) Using a=.05, what is tcrit?e) Given pooled variance = 8.99, Calcul
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Description: d) Using a=.05, what is tcrit?e) Given pooled variance = 8.99, Calculate tobt-f) What should Martha conclude? Martha believes that a relaxation technique involving visualization will help people with mildinsomnia fall asleep faster. She randomly sel

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Part D and E
Assume the population is normally distributed
The data show the number of hours of television watched per day by a sample of 28 people. Use technology to answer parts (a) and (b) below. D 6 5 3 3 8 7 7 0 2 1 2 0 2 6 1 2 Q₁ = Q₂ = Q3 = (Type integers or decimals. Do not round.) Q 6 0 4 G 6 a. Find the data set's first, second, and third quartiles. 3 0 0 5 2 6 3 3 b. Draw a box-and-whisker plot that represents the data set. Choose the answer below. Note that different technologies will produce slightly different results. O A. O B. OC. C Q Q ✔ Q
Cassie is a gym teacher who develops a training regimen to promote physical health among elementary school students. She knows that scores on a measure of physical health are normally distributed with µ = 75 and σ = 10. She randomly selects one student in her class to complete the training regimen, and this students scores X = 82 on the measure of physical health afterwards. Based on this score, Cassie can conclude that the training regimen _____. A. does have an effect on physical health because this score or larger would be expected 75.80% of the time even if the training regimen does not have an effect. B. does have an effect on physical health because this score or larger would be expected 24.20% of the time even if the training regimen does not have an effect. C. does not have an effect on physical health because this score or larger would be expected 24.20% of the time even if the training regimen does not have an effect. D. does not have an…
e A researcher with the Department of Education followed a cohort of students who graduated from high school in a certain year, monitoring the progress the students made toward completing a bachelor's degree. One aspect of his research vas to determine whether students who first attended community college took longer to attain a bachelor's degree than those who immediately attended and remained at a 4-year institution. The data in the table attached below summarize the esults of his study. Complete parts a) through e) below. E Click the icon to view the sample data. OA. The samples are independent. O B. The samples can be reasonably assumed to be random. OC. The population is given to be normally distributed. OD. The sample sizes are large (both greater than or equal to 30). O E. The sample sizes are not more than 5% of the population. :) Does the evidence suggest that community college transfer students take longer to attain a bachelor's degree? Use an a= 0.10 level of significance.…
Answer from A to C Also, please use the Statistical tables provided
(Score for Question 2: of 7 points) 2. The data in the table represents the ralnfall (in inches) for two different cities every month. City 1 3.1 4.5 6.3 7.3 4.3 33 2.1 1.1 0.9 0.8 City 2 2.3 2.4 3.3 3.6 3.2 5.2 2.2 2.1 2.0 1.8 (a) Which city had the most spread in their rainfall? Show your work (b) Calculate the IQR for both cities. What is the difference between the IQR for both cities? (c) Which city had the most rainfall? Explain why you chose that city Answer. States) OFocus 100% pased-station us-cli. ational Conters for Environmontal DE hp
I did questions that I already understood I just need help with question b and question C
Attention: These data are different from your previous questions! Now Lynn takes a different approach. They collect another two samples - GPA from students taking a semester of in-class courses, and then the same students' GPA when they are taking a semester of online courses. The data set is below. They predict that they will find a difference between in-class GPA and online GPA for the same students. Differences Between GPA's Student In Class GPA Online GPA Amy 4.0 3.5 Brad 3.5 2.2 Caroline 3.7 2.0 Dan 3.5 3.5 Emily 3.6 3.3 Frank 3.2 3.2 George 3.3 2.1 What is the t-statistic for this t-test? (Round to 2 decimal places.)
A city wants to know if a new advertising campaign to make citizens aware of the dangers of driving after drinking has been effective. The accompanying table shows the number of drivers who have been stopped with more alcohol in their systems than the law allows for each day of the week in the week before and the week a month after the campaign starts. Assume that the data from each population is Normally distributed. Complete parts a through i below. A. Are the data paired? Explain. B. Compute the mean difference C. Compute the standard deviation of the differences. D. Compute the standard error of the mean difference. E. Find the value of the t-statistic. F. How many degrees of freedom does the t-statistic have? G. Is the alternative one- or two-sided? Explain. H. What is the P-value associated with this t-statistic? Assume that the other assumptions and conditions for inference are met.