Tailings dams are a major feature of the mining industry. They have not been studies extensively from the point of view of statistical reliability, and some of the data are hard to come by. Nevertheless, it is clear that they fail at a higher rate than engineered dams. It is reasonable to assume that their failure is governed by a Weibull distribution with shape parameter B = 1.5. If dams seem to fail at the rate of 0.001 per dam-year, a) What is the mean time to failure (MTTF)? b) What is the value of the scale parameter 0? c) What is the median failure time?

Please answer question b.

Parts b, c, and d only please.

4. I was able to convince the plan manager to allow me to make the change to the larger production plant. My job's on the line now! So I am monitoring it pretty closely. Here are the results for the day: Table 4. Production rate from pilot plant demonstration tests. Run # 1 2 3 4 5 P (pounds per hour) 2200 2200 2300 2200 2300 From these data, please estimate: a. Estimate the Type A uncertainty in these measurements. Be sure to include the units. b. Estimate the Type B uncertainty associated with these measurements. Be sure to include units. C. Determine the uncertainty in the measurement of pressure in the cylinder. Be sure to include units. State your answer as average +/- uncertainty.

. Interpret your result from part​ (a) if the assumptions for regression inferences hold. Choose the correct interpretation below.     A. Presuming that the variables age and price for Corvettes satisfy the assumptions for regression​ inferences, the standard error of the estimate provides an estimate for the common population standard​ deviation, σ​, of ages for all Corvettes of any particular price.   B. Presuming that the variables age and price for Corvettes satisfy the assumptions for regression​ inferences, the standard error of the estimate provides an estimate for the​ slope, β1​, of the population regression equation for ages for all Corvettes of any particular price.   C. Presuming that the variables age and price for Corvettes satisfy the assumptions for regression​ inferences, the standard error of the estimate provides an estimate for the common population standard​ deviation, σ​, of prices for all Corvettes of any particular age.   D. Presuming that…

2. A company sells copiers and performs preventative maintenance and repair services. The manager wants to estimate how long it will take a service person to perform maintenance and repairs during a visit based on the number of copiers they need to service. Data were collected from 45 recent service calls, and regression analysis was performed in a statistics package, yielding the following results. Predictor Coef Stdev t-ratio Constant -0.5802 2.8039 -0.2069 0.8371 Number of Copiers 15.0352 0.4831 31.1233 0.0000 s= 8.9135 R-sq = 95.75% R-sq(adj) = 95.25% (a) What is the equation of the least-squares regression line? (b) Interpret the slope in context of the problem.

WPS Office Tutorial 8.pdf WAN NU... O Go Premium = Menu v Home Insert Comment Edit Page Protect Tools K ECN3122 Tutorial 8: Simple Linear Regression B 1) A sales manage collected the following on annual sales for new customer accounts and the number of years of experience for a sample of 10 salespersons. 3E Salesperson Years of Experience Annual Sales (RM1000S) 1 1 80 3. 97 4 92 4 4 102 103 6. 8 111 7 10 119 8 10 123 9. 11 117 10 13 136 1/3 BO 00 + 23 160% - - 10:52 AM 30/12/2020 近

An article in Technometrics by S. C. Narula and J. F. Wellington ["Prediction, Linear Regression, and a Minimum Sum of Relative Errors" (Vol. 19, 1977)] presents data on the selling price and annual taxes for 24 houses. The data are shown in the following table. Xis taxes paid. Taxes (Local, School), Price/1000 County)/1000 Sale 25.9 4.9176 29.5 5.0208 27.9 4.5429 25.9 4.5573 29.9 5.0597 29.9 3.8910 30.9 5.8980 28.9 5.6039 35.9 5.8282 31.5 5.3003 31.0 6.2712 30.9 5.9592 (a) Assuming that a simple linear regression model is appropriate, obtain the regression equation applicable and compute for the coefficient of determination. (b) Test the significance of the correlation coefficient. (c) Find the mean selling price given that the taxes paid is 6.111. (d) Construct a 95% Confidence Interval for the mean selling price computed in (C). Use the editor to formot your answer

To determine if their 1.33 centimeter galvanized pipes are properly adjusted, Fogarty Manufacturing has decided to use an X-Chart which uses the range to estimate the variability in the sample. Answer Step 5 of 7: Use the following sample data, taken from the next time period, to determine if the process is "In Control" or "Out of Control". Observations: 1.41, 1.37, 1.34, 1.4, 1.39 Sample Mean: 1.382 ©2024 Hawkes Learning WN 45678 15 Table 9 10 11 12 13 Period obs1 obs2 1 2 1.3340 1.3260 obs3 obs4 obs5 Sample Mean Sample Range 1.34 1.29 1.35 1.33 1.35 1.3320 1.35 1.35 1.29 1.38 1.28 1.3300 3 1.34 1.35 1.32 1.33 1.34 1.3360 1.36 1.29 1.37 1.35 1.30 1.29 1.31 1.33 1.32 1.38 1.31 1.32 1.31 1.31 1.34 1.3180 1.34 1.38 1.31 1.29 1.33 1.35 1.33 1.30 1.35 1.32 1.34 1.37 1.28 1.36 1.37 1.37 1.29 1.30 1.28 1.30 1.35 1.32 1.29 1.36 1.38 1.36 1.32 1.31 1.29 1.37 1.3300 1.3300 1.3440 1.3080 1.3400 1.30 1.35 1.3280 1.35 1.32 1.3300 14 1.35 1.35 1.34 1.32 1.3400 1.32 1.36 1.29 1.32 1.3280 Control…

Suppose that x and y are two variables of a population and that the assumptions for regression inferences are met with x as the predictor variable and y as the response variable. a. What statistic is used to estimate the slope of the population regression line? b. What statistic is used to estimate the y-intercept of the population regression line? c. What statistic is used to estimate the common conditional standard deviation of the response variable corresponding to fixed values of the predictor variable?