please help asap. data for the problem is provided in the picture as well. 4) A student advisor believes that undergraduate student's grades earned in a givensemester (as measure by GPA) depend on their class standing (Freshman,Sophomore, Junior or Senior).a) What is the appropriate null and alternate hypothesis to determine if student'sgrades (as measure by GPA) depend on their class standing?b) Choose a level of a. Use a = 0.05 for this problem.To test the hypothesis, the student advisor randomly selects 25 undergraduatestudents and records the GPA of the classes they took in the previous semesterand their class standing that semester. The data appear in the UG GPA worksheetof the Chp 18 HW data workbook on Moodle. Use the Kruskal-Wallis test to testthe hypothesis that student's grades (as measure by GPA) depend on their classstanding. Calculate the sum of ranks for each class standing.d) Sketch the sampling distribution. Include the critical value and test statistice) Draw a conclusion for the hypothesis test. Make sure you state your conclusion inthe context of the problem.f) What is the p-value for the hypothesis test. 12345678910111213141516171819202122232425262728293031ABStudent Class Standing1Senior2JuniorSeniorSophomoreJuniorSophomoreJunior345678910111213141516171819202122232425SophomoreSeniorJuniorJuniorJuniorFreshmanSophomoreSeniorSeniorSophomoreFreshmanFreshmanFreshmanJuniorFreshmanSeniorSophomoreSophomoreCGPA3.012.893.812.293.333.113.672.962.453.453.262.983.473.323.323.173.892.192.712.143.011.913.022.822.02DE

This problem is about testing the hypothesis that undergraduate student's grades earned in a given…

Answered: 4) A student advisor believes that…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Please solve by hand! A manufacturer of wood stoves collected data on y = particulate matter concentration and x1 = flue tem-perature for three different air intake settings (low, me-dium, and high).a. Write a model equation that includes indicator vari-ables to incorporate intake setting, and interpret each of the b coefficients. b. What additional predictors would be needed to in-corporate interaction between temperature and in-take setting?
Several states have argued that the 65-mph speed limit has no justification and have refused to enforce it. The federal Department of Transportation (DOT) believes that the 65-mph limit saves lives. To illustrate its contention, the department regressed the number of traffic fatalities (Y) last year in a state on the state’s population (X1), the number of days of snow cover (X2), and the average speed of all cars (X3). The results are shown below. Table 10: Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .821 a .780 .613 3.258 a. Predictors: (Constant), population, days of snow, average speed Table 11: Coefficients Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 1.4 2.957 .473 .584 Population .00029 .00003 .0034 9.667 .000 Days of Snow 2.4 .62 .759 3.871 .000 Average Speed 10.3 1.1…
The graph shows the heights of mothers and daughters. (Source: StatCrunch: Mother and Daughter Heights.xls. Owner: craig slinkman) (a) As the data are graphed, which is the independent variable and which the dependent variable? (b) From the graph, approximate the predicted height of the daughter of a mother who is 60 inches (5feet) tall. (c) From the equation, determine the predicted height of the daughter of a mother who is 60 inches tall. (d) Interpret the slope. (e) What other factors besides the mother's height might influence the daughter’s height?
The statistics prompt states "The average amount of sleep people get throughout the week in hours. You’ve collected data from 6 people." I need to know how I would input this data into SPSS, or at least what kind of graph it would be so I can try to break it down. Thank you.
A research study recorded the out-of-state tuition fees for a sample of public and for-profit colleges in the United States, and the results can be downloaded from the data file Tuition. Summarize this data by creating histograms with StatKey, and submit your graph as a PDF. When creating your graphs, please make sure the number of buckets is set to 10.
This was not the correct quadratic model for the data
The cost of fuel is the largest component of cost of ownership for most vehicles. Fuel cost is (almost) inversely proportional to gas mileage; higher gas mileage means lower fuel cost and vice-versa. If you keep track of the number of miles driven on each tank of gas as well as how much gas is purchased, it is easy to calculate gas mileage; many cell phone apps exist to track this. The data in the following table is the gas mileage for Mr. Hebert's 2015 Jeep Wrangler Unlimited. 12.85 14.98 15.36 17.09 18.86 13.28 15.11 15.62 17.50 19.07 13.48 15.12 15.65 17.66 20.91 14.65 15.13 16.41 18.17 21.17 14.71 15.14 16.80 18.27 22.11 a. Find the average fuel economy. x =enter your response here (Round your answer to 3 decimal places.)
Range of ankle motion is a contributing factor to falls among the elderly. Suppose a team of researchers is studying how compression hosiery, typical shoes, and medical shoes affect range of ankle motion. In particular, note the variables Barefoot and Footwear2. Barefoot represents a subject's range of ankle motion (in degrees) while barefoot, and Footwear2 represents their range of ankle motion (in degrees) while wearing medical shoes. Use this data and your preferred software to calculate the equation of the least-squares linear regression line to predict a subject's range of ankle motion while wearing medical shoes, ?̂ , based on their range of ankle motion while barefoot, ? . Round your coefficients to two decimal places of precision. ?̂ = A physical therapist determines that her patient Jan has a range of ankle motion of 7.26°7.26° while barefoot. Predict Jan's range of ankle motion while wearing medical shoes, ?̂ . Round your answer to two decimal places. ?̂ = Suppose Jan's…
Several states have argued that the 65-mph speed limit has no justification and have refused to enforce it. The federal Department of Transportation (DOT) believes that the 65-mph limit saves lives. To illustrate its contention, the department regressed the number of traffic fatalities (Y) last year in a state on the state’s population (X1), the number of days of snow cover (X2), and the average speed of all cars (X3). The results are shown below. Table 10: Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .821 a .780 .613 3.258 a. Predictors: (Constant), population, days of snow, average speed Table 11: Coefficients Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 1.4 2.957 .473 .584 Population .00029 .00003 .0034 9.667 .000 Days of Snow 2.4 .62 .759 3.871 .000 Average Speed 10.3 1.1…

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS