A client wants to determine whether there is a significant difference in the time required to complete a program evaluation with the three different methods that are in common use. Suppose the times (in hours) required for each of 18 evaluators to conduct a program evaluation follow.Method 1 Method 2677469787573637179677370Method 3O Ho: Median₁ # Median₂ # MedianH₂: Median₁ = Median₂ = Median57O Ho: Median₁ = Median₂ = MedianH₂: Median₁ # Median₂ + Median65665556Use a = 0.05 and test to see whether there is a significant difference in the time required by the three methods.State the null and alternative hypotheses.OH: Median₁ = Median₂ = MedianH₂: Median, > Median₂ > Median63O Ho: Not all populations of times are identical.H₂: All populations of times are identical.OH: All populations of times are identical.H₂: Not all populations of times are identical.Find the value of the test statistic. (Round your answer to two decimal places.)Find the p-value. (Round your answer to three decimal places.)p-value =

The data on time required to conduct a program evaluation based on three different methods is…

Answered: A client wants to determine whether…

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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An apartment management company wants to explore the consequences of allowing residents to have multiple dogs. They would like to find out whether the number of dogs predicts resident ratings. They would also like to control for the year the apartment complex was built because thaty might also affect the resident rating. They have collected data on several of their existing complexes. For each complex, they have counted the number of dogs currently living in the complex, the year the complex was built, and the average rating for that particular complex. They would like to perform a multiple regression on these variables to predict resident ratings. See data below. These data are the same as the previous question. Multiple Dog Consequences Number of dogs Year of facility Rating (out of 5) 54 1975 2 31 1964 3.5 0 2015 4.8 11 2011 3.8 73 1964 2.3 23 2016 3.7 0 2015 4.7 49 1989 2.7 What is the b coefficient for Number of Dogs? Round to 3 decimal places.
Consider the patients who went to the Urgent Care at the local hospital last week as the observational units (people we are studying) in a statistical study. a) Identify two categorical/qualitative variables that could be recorded on these observational units. b) Identify two numerical/quantitative variables that could be recorded on these observational units. c) State a research question that you could investigate about these observational units, using at least one of the variables that you gave in part a) and b).
Exercise is known to produce positive psychological effects. Interestingly, not all exercise is equally effective. It turns out that exercising in a natural environment (e.g., jogging in the woods) produces better psychological outcomes than exercising in urban environments or in homes (Mackay & Neill, 2010). Suppose that a sports psychologist is interested in testing whether there is a difference between exercise in nature and exercise in the lab with respect to post-exercise anxiety levels. The researcher recruits n 5 7 participants who exercise in the lab and exercise on a nature trail. The data below represent the anxiety scores that were measured after each exercise session. Treat the data as if the scores are from an independent-measures study using two separate samples, each with n 5 7 participants. Compute the pooled variance, the estimated standard error for the mean difference, and the independent-measures t statistic. Using a 5 .05, is there a significant difference…
(c) Suppose that after looking at the data the researcher decided to test the research questions listed below. Conduct the appropriate tests to answer these questions. Report and fully interpret the results of each test conducted. On average: (iv) Do Asian students score significantly higher/lower than White students in Reading? race: 1 - hispanic, 2 - asian, 3 - black, 4 - white race RDG 1 34 1 47 1 42 1 39 1 36 1 50 1 63 1 44 1 47 1 44 1 50 1 44 1 47 1 42 1 42 1 47 1 60 1 39 1 57 1 73 1 47 1 39 1 35 1 39 1 48 1 31 1 52 1 47 1 36 1 47 1 34 1 52 1 42 1 37 1 44 1 71 1 47 1 42 1 42 1 47 1 52 1 52 1 39 1 31 1 60 1 47 1 39 1 42 1 47 1 42 1 36 1 50 1 34 1 55 1 28 1 42 1 44 1 60 1 39 1 36 1 44 1 39 1 39 1 42 1 42 2 52 2 65 2 42 2 47 2 52 2 44 2 52 2 47 2 65 2 63 2 60 2 47 2 65 2 53 2 68 2 55 2 39 2 52 2 65 2 52 2 57…
2. A researcher wants to determine which of three advertisements is most likely to encourage teens not to smoke. To assess the impact of each advertisement, she asks a sample of teenagers to view each ad and to rate the ad's effectiveness on a scale of 1 (not at all effective) to 7 (very effective). One ad used words only (no-cues condition), a second ad used a generic abstract picture (generic-cues condition), and a third showed a picture of a teen smoking and coughing (smoking-related cues condition). Fully test the question (5 steps) and determine the effect size. Participant ABCDEFG No Cues 2 3 1 4 4 5 2 T = 21 SS = 12 Generic Cues 5 5 4 5 3 4 2 T1 = 28 SS=8 Smoking- Related Cue 5 6 5 7 6 7 6 T2 = 42 SS = 4 P G = 91 ΣΧ2 = 451
Prof. Flores, always interested in improving her teaching effectiveness, has decided to undertake a careful analysis of her evaluations from the past three years. A matter of special concern to her is how she is viewed by students of different majors. She's decided to look at the last question on the teacher evaluation form, Question 17, which is, "Would you recommend this professor to another student?" Each of Prof. Flores' students can be placed into one of three categories according to the student's major school, as shown in the contingency table below. (Students who have majors from more than one school are not included.) This table contains a summary of the data that Prof. Flores has collected for 500 of her students. Each of the 500 students is classified according to two variables: major school ("School of Social Science", "School of Engineering", or "School of Physical Sciences") and response to Question 17 ("No", "Maybe", or "Yes"). In the cells of the table are written the…
A psychologist would like to examine the effects of different testing methods on the final performance of college students. One group has regular quizzes (n=4), one group has three large exams (n=4), and the third group only has a final exam (n=4). At the end of the course, the psychologist interviews each student to get a measure of the student’s overall knowledge of the material. Quizzes Exams Final Only 4 1 0 N = 12 6 4 2 G = 36 3 5 0 ΣX2 = 164 7 2 2 T = 20 T = 12 T = 4 SS = 10 SS = 10…
Please help me answer this with complete solution.
Many states mandate tests that have to be passed in order for the students to graduate with a high school diploma. A local school superintendent believes that after-school tutoring will improve the scores of students in his district on the state's graduation test. As a trial run, a tutor agrees to work with 15 students for a month. The superintendent ask the school board to implement this after-school tutoring program if there is evidence that student scores would increase by an average of more than 20 points. Create a 95% confident level to estimate the true score increase. 25.4 23.3 17.8 21.3 14.8 28.8 22.5 23.6 32.3 15.4 23.4 27.5 18.8 19.1 20.4 a. Confidence Interval b. Conclusion
In a few sentences come up with your own idea for either an experimental OR observational study. Why would this study be either experimental or observational? Identify the explanatory and response variables
One disadvantage of a repeated measures design is the possibility of order effects. Which of the following statements is false? O Order effects are often due to the treatment itself. O Order effects can bias the results of an experiment. O Order effects can be lessened by applying counterbalancing to the experimental design. O An order effect is an increase or decrease in the response to each subsequent treatment due to an increase in learning, fatigue, or boredom.
A doctor wanted to study the effect of four different treatments on mental health. A group of 100 adults experiencing depression volunteered for the study. The doctor randomly assigned one-fourth of them to each of four groups. Group 1 followed a specific exercise plan, group 2 followed a specific diet plan, group 3 followed an exercise and diet plan, and group 4 did not follow any plan. After 4 weeks, the doctor contacted each participant and asked them if they felt any better. The results are displayed in the table. The doctor would like to know if these data provide convincing evidence that the distribution of responses differs across the treatment groups in the population of all patients like these. The random condition is met. The 10% condition is not needed because random sampling did not take place. This table of expected counts shows that all expected counts are at least 5. What is the value of the chi-square test statistic? χ‑2 = 5.03 χ‑2 = 6.26 χ‑2 = 25.33 χ‑2 = 39.22

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