please help asap. data for the problem is provided in the picture as well. 123456789910111213141516171819ABLot 1112105831021448550CLot 29118314121910513814684134106DEFG 5) A quality control inspector would like to evaluate the lot to lot consistency in theflexibility of tie-downs.a) What is the appropriate null and alternate hypothesis to determine if tie-downflexibility depends on production lot?b) Choose a level of a. Use a = 0.05 for this problem.c) To test the hypothesis, the inspector selects a random sample of the straps andcounts the number of 360-degree twists each will withstand before breaking. Theinspector selects 7 lines from one production lot and 10 from a second lot. Thenumber of turns before breaking for the tie-down lines selected appear in the Tie-down worksheet of the Chp 18 HW data workbook on Moodle. Use the Mann-Whitney-Wilcoxon Test with a = 0.05 to determine if tie-down flexibilitydepends on production lot. Calculate the average rank for each production lot.d) Sketch the sampling distribution. Include the critical value and test statisticDraw 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.

a) The appropriate null hypothesis is that there is no difference in tie-down flexibility between…

Answered: 5) A quality control inspector would…

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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Flying twice as farA flight from Los Angeles to ABQ is about 2 hours but is 670.2 miles.A flight from San Jose to Chicago is 4 hours but is 1859.0 miles.Can anyone explain why the travel time from San Jose to Chicago is notlonger and closer to 5.75 hours?If the distance increase by 2, shouldnt the time increase by a factorof 2 as well?1. Write a linear model for this question. Takeoff and landing will take a fixed amount of time. Actualtravel in the air will take time proportional to the distance traveled. Think about which of thevariables (time and distance) is the independent variable, and identify the slope and intercept withtheir units.2. Use the data in the quotation to estimate the two constants in your linear model.
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…
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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…

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