The following observations were made on fracture toughness of a base plate of 18% nickel maraging steel (in ksi ✓in., given in increasing order)]: 65.3 71.9 72.8 73.1 73.4 73.5 75.5 75.7 75.8 76.1 76.2 76.2 77.0 77.9 78.1 79.6 79.7 79.9 80.1 82.2 83.5 93.6 Calculate a 99% CI for the standard deviation of the fracture toughness distribution. (Round your answers to one decimal place.) ksi vin Is this interval valid whatever the nature of the distribution? Explain. O The distribution needs to be skewed to the right.
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- An abrasion test was performed using n = 14 moulded ceramic pieces. The following are the test results, where for the i-th piece, the result of the test was recorded (one of Survived, Broken). The data also gives Xi, the porosity index of the piece, which is a numerical quantity: (Survived,8), (Broken,16), (Broken,19), (Survived,26), (Survived,49), (Survived,54), (Survived,66), (Survived,79), (Survived,102), (Broken,111), (Survived,114), (Broken,151), (Survived,163), (Broken,199) We want to study the resistance of pieces to abrasion as function of porosity. To this end, consider the following logistic regression model, log πi 1/727 ) = B₁ + B₁x₁₂ πi where the observations follow the distribution Y; Bernoulli(;). A data value y; = 1 indicates that the piece survived the test and yi 0 indicates that the piece broke. Fit this model in R using the function glm (). Examine your output and then answer the following questions. = A) What is the value of Bo? B) If the porosity of a piece was…The sodium content of twenty 300 gram boxes of organic corn flakes was determined. Thedata ( in milligrams ) are as follows :131.15 130.69 130.91 130.12 130.72 128.33 129.78 128.24 130.91130.42 128.73 131.15 129.65 130.86 127.98 131.05 128.75 129.30128.98 130.12a. Can you support the claim that the mean sodium content of this brand of cornflakesis different from 130.5 milligrams at 5 % level of significance? (show all the steps ofhypothesis testing)The following table summarizes the percentage frequency of admitted students in SQU (2018) Defect code Percentage Frequency Bachelor 0.733 Master 0.206 Postgraduate Diploma 0.044 PhD
- Brake wear: For a sample of 9 automobiles, the mileage (in 1000 s of miles) at which the original front brake pads were worn to 11% of their original thickness was measured, as was the mileage at which the original rear brake pads were worn to 11% of their original thickness. The results were as follows: Car Rear Front 1 41.2 32.7 2 35.9 27.6 46.8 35.5 46.3 38.2 38.6 29.2 51.9 43.9 51.3 41.2 46.7 37.6 46.1 38.0 3 4 5 6 7 8 9 Send data to Excel Part: 0 / 2 Part 1 of 2 (a) Construct a 95% confidence interval for the difference in mean lifetime between the front and rear brake pads. Let d represent the mileage of the rear pads minus the mileage of the front ones. Round the answers to two decimal places. A 95% confidence interval for the mean difference in lifetime between front and rear brake pads is kua < Par Part: 1 / 2 of 2 X (b) An automotive engineer claims that the mean lifetime for rear brake pads is more than 10,000 miles more than the mean lifetime for front brake pads. Does the…4. A tank is discharging water through an orifice at a depth (x) meter below the surface of water whose area (A) m². The following are the values of the corresponding values of (A)? A 1.257 1.39 1.52 1.65 1.809 1.962 2.123 2.295 2.462 2.650 2.827 1.5 1.65 1.8 1.95 2.10 2.25 2.40 2.55 2.70 2.85 3.00 Using the formula: 3 (0.018) T = A dx %3D 1.5 Calculate (T) the time in second for the level of water to drop from (3.0 m) to (1.5 m) above the orifice?The following data represent the concentration of dissolved organic carbon (mg/L) collected from 20 samples of organic soil. Assume that the population is normally distributed. Complete parts (a) through (c) on the right. 20.468.8130.9119.8029.8016.8714.8614.8627.1020.4610.308.0916.5114.9015.3522.4911.9033.679.7218.30 (a) Find the sample mean. The sample mean is ____ (Round to two decimal places as needed.) (b) Find the sample standard deviation. (Round to two decimal places as needed.) (c) Construct a 99% confidence interval for the population mean μ.
- Periodically, the county Water Department tests the drinking water of homeowners for contaminants such as lead and copper. The lead and copper levels in water specimens collected in 1998 for a sample of 10 residents of a subdevelopement of the county are shown below. lead (g/L) 2.9 0.2 5.1 4.2 5.5 1.2 0.133 0.774 0.214 0.671 0.444 0.234 0.357 0.761 0.176 0.888 (a) Construct a 99% confidence interval for the mean lead level in water specimans of the subdevelopment. OSMOSO copper (mg/L) 0.3 1.3 4.9 1.7 (b) Construct a 99% confidence interval for the mean copper level in water specimans of the subdevelopment. OSHSOIn a Ni-Cd battery, a fully charged cell is composed of nickelic hydroxide. Nickel is an element that has multiple oxidation states. Assume the following proportions of the states: Nickel Charge Proportions Found 0 0.17 +2 0.34 +3 0.33 +4 0.5-0.34 Determine the mean of the nickel charge. Please enter the answer to 2 decimal places.Suppose the incidence rate of myocardial infarction (MI)was 5 per 1000 among 45- to 54-year-old men in 2000.To look at changes in incidence over time, 5000 men in thisage group were followed for 1 year starting in 2010. Fifteennew cases of MI were found. Q.)Suppose that 25% of patients with MI in 2000 died within24 hours. This proportion is called the 24-hour case-fatalityrate. 7.14 Of the 15 new MI cases in the preceding study,5 died within 24 hours. Test whether the 24-hour casefatality rate changed from 2000 to 2010. 7.15 Suppose we eventually plan to accumulate 50 MIcases during the period 2010–2015. Assume that the24-hour case-fatality rate is truly 20% during this period.How much power would such a study have in distinguishingbetween case-fatality rates in 2000 and 2010–2015 if atwo-sided test with significance level .05 is planned? 7.16 How large a sample is needed in Problem 7.15 toachieve 90% power?
- Periodically, the county Water Department tests the drinking water of homeowners for contminants such as lead and copper. The lead and copper levels in water specimens collected in 1998 for a sample of 10 residents of a subdevelopement of the county are shown below. lead (?μg/L) copper (mg/L) 3.33.3 0.6280.628 3.33.3 0.2930.293 0.30.3 0.7830.783 4.74.7 0.1950.195 55 0.3780.378 1.41.4 0.2330.233 0.90.9 0.1010.101 0.90.9 0.6980.698 3.63.6 0.80.8 1.21.2 0.7610.761 (a) Construct a 99% confidence interval for the mean lead level in water specimans of the subdevelopment. _____≤μ≤_____ (b) Construct a 99% confidence interval for the mean copper level in water specimans of the subdevelopment. ______≤μ≤______Using a sample of 1801 black individuals, the following earnings equation has been estimated: 7.059+ 0.147educ + 0.049experience – 0.201female (.007) In(earnings) = (.135) (.008) (.036) R? = 0.179; n = 1801 %3D Where the standard errors are reported in parenthesis. a. Interpret the coefficient estimate on female. In answering parts b. – c., you must write down (i) the null and the alternative hypothesis; (ii) the test statistic; (iii) the rejection rule. b. Test the hypothesis that there is no difference in expected earnings between black women and black men. Test the hypothesis against a two-sided alternative, using a 5% significance level. c. Dropping experience and female from the equation gives: 6.703+ 0.151educ In(earnings) = (.182) (.012) R : = 0.179; n = 1801 Are experience and female jointly significant in the original equation at the 5% significant level?2.5. A sample of 15 g carbonated salt with density of 2650 kg/m3 is poured into a liter of water to form a suspension. The prepared suspensionwas used to fill up an Andreasen Pipette vessel to the 20 cm mark. Suspension samplesweretaken at:2,8, 16,32, 60,120, 180, 240, 360, 480, 600, and 1440 min. The weight concentrations on10 mL of the every extracted samplewere:0.1465,0.0967,0.0883, 0.0632, 0.0386,0.0294, 0.0178,0.0104, 0.0073,0.0051,0.0030, and 0.0008 g. If every extracted sample drops the height level inthe vessel 0.5 cm, evaluate the median size of the carbonated salt particles.