Construct a normal probability plot for RBOT time.RBOT (min)RBOT (min)400•400350350300300250250-1-11RBOT (min)RBOT (min)400400350350300300250250-1Comment.O Both TOST and RBOT time appear to come from nonnormal population.O Both TOST and RBOT time appear to come from normal populations.O TOST time appears normal, while RBOT time appears nonnormal.O RBOT time appears normal, while TOST time appears nonnormal.(e) Carry out a test of hypotheses to decide whether RBOT Time and TOST time are linearly related. (Use a = 0.05.)State the appropriate null and alternative hypotheses.O Hip = 0H:p>0O H,: p = 0Hip < 0O H,i p = 0H: p+0O H: p+0Hip = 0Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.)P-value =State the conclusion in the problem context.O Reject H. The model is useful.O Reject H. The model is not useful.O Fail to reject H. The model is not useful.O Fail to reject H. The model is useful. The Turbine Oil Oxidation Test (TOST) and the Rotating Bomb Oxidation Test (RBOT) are two different procedures for evaluating the oxidation stability of steam turbine oils. An article reported the accompanying observations on x = TOST time (hr) and y = RBOT time (min) for 12 oil specimens.TOST420036003750367540502745RBOT370335375310350200TOST487044753450267537503275RBOT400370285230345290

1) Normal probability plot for RBOT (min) is given by option 2 (top-right). 2) Both TOST and RBOT…

Answered: Construct a normal probability plot for…

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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Similar questions

The Turbine Oil Oxidation Test (TOST) and the Rotating Bomb Oxidation Test (RBOT) are two different procedures for evaluating the oxidation stability of steam turbine oils. An article reported the accompanying observations on x = TOST time (hr) and y = RBOT time (min) for 12 oil specimens. TOST 4200 3600 3750 3650 4050 2770 RBOT 370 345 375 315 350 205 TOST 4870 4525 3450 2700 3750 3325 RBOT 400 380 285 220 345 290 (a) Calculate the value of the sample correlation coefficient. (Round your answer to four decimal places.) r = Carry out a test of hypotheses to decide whether RBOT Time and TOST time are linearly related. (Use ? = 0.05.) Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.) t = P-value =
The Turbine Oil Oxidation Test (TOST) and the Rotating Bomb Oxidation Test (RBOT) are two different procedures for evaluating the oxidation stability of steam turbine oils. An article reported the accompanying observations on x = TOST time (hr) and y = RBOT time (min) for 12 oil specimens. TOST 4200 3600 3750 3650 4050 2795 RBOT 370 340 375 310 350 205 TOST 4870 4500 3450 2700 3750 3275 RBOT 400 375 285 225 345 290 (a) Calculate the value of the sample correlation coefficient. (Round your answer to four decimal places.)
The Turbine Oil Oxidation Test (TOST) and the Rotating Bomb Oxidation Test (RBOT) are two different procedures for evaluating the oxidation stability of steam turbine oils. An article reported the accompanying observations on x = TOST time (hr) and y = RBOT time (min) for 12 oil specimens. TOST RBOT 4200 370 TOST RBOT 3575 3750 3700 340 375 315 4050 350 4870 4475 3450 400 375 285 (a) Calculate the value of the sample correlation coefficient. (Round your answer to four decimal places.) 2795 195 2725 3750 220 345 3275 290 Interpret the value of the sample correlation coefficient. O The value of r indicates that there is a strong, negative linear relationship between TOST and RBOT. O The value of r indicates that there is a strong, positive linear relationship between TOST and RBOT. O The value of r indicates that there is a weak, negative linear relationship between TOST and RBOT. O The value of r indicates that there is a weak, positive linear relationship between TOST and RBOT. (b) How…
The Turbine Oil Oxidation Test (TOST) and the Rotating Bomb Oxidation Test (RBOT) are two different procedures for evaluating the oxidation stability of steam turbine oils. An article reported the accompanying observations for x = TOST time (hr) and y = RBOT time (min) for 12 oil specimens. TOST 4200 3575 3750 3700 4050 2770 4870 4475 3450 2700 3750 3325 RBOT 370 345 375 310 350 205 400 375 285 220 345 280 (a) Calculate the value of the sample correlation coefficient. (Round your answer to four decimal places.)r = Interpret the value of the sample correlation coefficient. The value of r indicates that there is a strong, negative linear relationship between TOST and RBOT.The value of r indicates that there is a weak, positive linear relationship between TOST and RBOT. The value of r indicates that there is a strong, positive linear relationship between TOST and RBOT.The value of r indicates that there is a weak, negative…
The Turbine Oil Oxidation Test (TOST) and the Rotating Bomb Oxidation Test (RBOT) are two different procedures for evaluating the oxidation stability of steam turbine oils. An article reported the accompanying observations on x = TOST time (hr) and y = RBOT time (min) for 12 oil specimens. TOST 4200 3600 3750 3675 4050 2745 RBOT 370 335 375 310 350 200 TOST 4870 4475 3450 2675 3750 3275 RBOT 400 370 285 230 345 290 (a) Calculate the value of the sample correlation coefficient. (Round your answer to four decimal places.) r3= Interpret the value of the sample correlation coefficient. O The value of rindicates that there is a weak, positive linear relationship between TOST and RBOT. O The value of r indicates that there is a strong, negative linear relationship between TOST and RBOT. O The value of r indicates that there is a weak, negative linear relationship between TOST and RBOT. O The value of rindicates that there is a strong, positive linear relationship between TOST and RBOT. (b)…
The Turbine Oil Oxidation Test (TOST) and the Rotating Bomb Oxidation Test (RBOT) are two different procedures for evaluating the oxidation stability of steam turbine oils. An article reported the accompanying observations for x = TOST time (hr) and y = RBOT time (min) for 12 oll specimens. 3625 3750 3700 4050 2770 4870 4500 3450 2675 3750 3300 TOST 4200 RBOT 370 340 375 305 350 205 400 370 285 230 345 285 (a) Calculate the value of the sample correlation coefficient. (Round your answer to four decimal places.) Interpret the value of the sample correlation coefficient. The value of r indicates that there is a weak, positive linear relationship between TOST and RBOT. The value of r indicates that there is a strong, negative linear relationship between TOST and RBOT. The value of r indicates that there is a weak, negative linear relationship between TOST and RBOT. The value of r indicates that there is a strong, positive linear relationship between TOST and RBOT. (b) How would the value…
Each year the US Environmental Protection Agency (EPA) releases fuel economy data on cars manufactured in that year. Below are summary statistics on fuel efficiency (in miles/gallon for city driving) from random samples of cars with manual and automatic transmissions manufactured in 2012. We want to know if there is a statistical difference between the average fuel efficiencies between the two different types of transmission. Automatic Transmission Manual Transmission X1 = 15.7 Si = 3.6 N1 = 26 T2 = 19 S2 = 4.65 N2 = 34 Mean %3D SD Sample Size (a) Calculate the standard error for the appropriate sampling distribution: SE = (b) We want to calculate a 91% confidence interval for the difference between the gas mileages for the automatic transmission and the manual transmission cars. What is the critical t-score that we should use to build our confidence interval? tcritical (c) Calculate the margin of error, the lower bound, and the upper bound for the 91% confidence interval. Margin of…
Heat flow is the passage of thermal energy from a hot to a cold body. This phenomenon is of particular interest to engineers, who attempt to understand and control the flow of heat through the use of thermal insulation and other devices. The data below were taken from heat flow gauge readings for an industrial process over 10 equally spaced time intervals. A concern is that the process may be cooling down as time progresses. One way to check this statistically is to compare the measurements for the first 5 time periods to the measurements for the last 5 time periods. You may assume that heat flow is approximately normal for each group. Time period 1 (Group 1): 9.273, 9.262, 9.243, 9.283, 9.270Time period 2 (Group 2): 9.240, 9.292, 9.284, 9.279, 9.258 Unless otherwise stated, give your answers to three decimal places. Construct a 95% confidence interval for the difference in mean heat flow. Give your answers to three decimal places. Use t∗=2.352t∗=2.352.( , ) Conduct a hypothesis…
The depth of wetting of a soil is the depth to which water content will increase owing to extemal factors. The article "Discussion of Method for Evaluation of Depth of Wetting in Residential Areas" (J. Nelson, K. Chao, and D. Overton, Journal of Geotechnical and Geoenvironmental Engineering, 2011:293-296) discusses the relationship between depth of wetting beneath a structure and the age of the structure. The article presents measurements of depth of wetting, in meters, and the ages, in years, of 21 houses, as shown in the following table. Age Depth 7.6 4 4.6 6.1 9.1 3 4.3 7.3 5.2 10.4 15.5 5.8 10.7 4 5.5 6.1 10.7 10.4 4.6 7.0 6.1 14 16.8 10 9.1 8.8 Compute the least-squares line for predicting depth of wetting (y) from age (x). b. Identify a point with an unusually large x-value. Compute the least-squares line that results from deletion of this point. Identify another point which can be classified as an outlier. Compute the least-squares line that results from deletion of the outlier,…
Sulfur compounds cause "off-odors" in wine, and winemakers want to know the odor threshold – the lowest concentration of a compound that the human nose can detect. The odor threshold for dimethyl sulfide (DMS) in trained wine tasters is about 25 micrograms per liter of wine (µg/L). The untrained noses of consumers may be less sensitive, however. A set of DMS odor threshold data for 10 untrained students was analyzed. How sensitive are the untrained noses of students? You want to estimate the mean DMS odor threshold among all students, and you would be satisfied to estimate the mean to within ±0.25 with 95% confidence. The standard deviation of the odor threshold for untrained noses is known to be o = 8 micrograms per liter of wine. How large an SRS of untrained students do you need? Give your answer rounded up to the nearest whole number. n = Incorrect
Weight 1.897 Cost 53.6 3.019 184.9 0.453 6.4 0.988 23.5 1.058 33.4 2.1 110.4 2.387 104.6 People at SpaceX Inc conducted a pilot study to determine the relationship between the weight and cost of a major object being sent into space. The results of the pilot study are contained in data file ASP.1, available in the LBRT #2 folder. Determine the number of observations needed to be 89% confident that the estimate of the average cost is within $15 of the overall mean cost. Note: Assume that the pilot study standard deviation is a good estimate of the population standard deviation, that an appropriate value from the Z-table can be used, and that hand calculations are used to find the answer (i.e. do not use Kaddstat).
You are shown ZJKL below whose measure is 90°. Draw an angle bisector of ZJKL by clicking a dragging a ray out from the vertex at K. Click and drag to draw a ray from the yellow dot. To redraw, click and drag from the yellow dot again. mZJKL = 90° mZJKM = 45° m/LKM = 45° L C

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