The article “Chemithermomechanical Pulp from Mixed High Density Hardwoods” (TAPPI, July 1988: 145–146) reports on a study in which the accompanying data was obtained to relate y = specific surface area (cm2/g) to x1 = % NaOH used as a pretreatment chemical and x2 = treatment time (min) for a batch of pulp.
*1 | X2 | y |
3 | 30 | 5.95 |
3 | 60 | 5.60 |
3 | 90 | 5.44 |
9 | 30 | 6.22 |
9 | 60 | 5.85 |
9 | 90 | 5.61 |
15 | 30 | 8.36 |
15 | 60 | 7.30 |
15 | 90 | 6.43 |
The accompanying Minitab output resulted from a request to fit the model
a. What proportion of observed variation in specific surface area can be explained by the model relationship?
b. Does the chosen model appear to specify a useful relationship between the dependent variable and the predictors?
c. Provided that % NaOH remains in the model, would you suggest that the predictor treatment time be eliminated?
d. Calculate a 95% CI for the expected change in specific surface area associated with an increase of 1% in NaOH when treatment time is held fixed.
e. Minitab reported that the estimated standard deviation
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Chapter 13 Solutions
PROBABILITY & STATS FOR ENGINEERING &SCI
- 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,…arrow_forwardThe article “Snow Cover and TemperatureRelationships in North America and Eurasia” (J.Climate and Applied Meteorology, 1983: 460–469) usedstatistical techniques to relate the amount of snow coveron each continent to average continental temperature.Data presented there included the following ten observationson October snow cover for Eurasia during the years1970–1979 (in million km2):6.5 12.0 14.9 10.0 10.7 7.9 21.9 12.5 14.5 9.2What would you report as a representative, or typical,value of October snow cover for this period, and whatprompted your choice?arrow_forwardThe removal of ammoniacal nitrogen is an important aspect of treatment of leachate at landfill sites. The rate of removal (in percent per day) is recorded for several days for each of several treatment methods. The results are presented in the following table. (Based on the article "Removal of Ammoniacal Nitrogen from Landfill Leachate by Irrigation onto Vegetated Treatment Planes," S. Tyrrel, P. Leeds-Harrison, and K. Harrison, Water Research, 2002:291–299.) Treatment Rate of Removal 5.21 4.65 5.59 2.69 7.57 5.16 6.24 5.94 6.41 6.85 9.18 4.94 4.04 3.29 4.52 3.75 Construct an ANOVA table. You may give a range for the P-value. Can you conclude that the treatment methods differ in their rates of removal? a. b. ABCAEarrow_forward
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- Total plasma volume is important in determining the required plasma component in blood replacement therapy for a person undergoing surgery. Plasma volume is influenced by the o health and physical activity of an individual. Suppose that a random sample of 46 male firefighters are tested and that they have a plasma volume sample mean of x = 37.5 ml/kg (milliliters plasma per kilogram body weight). Assume that o = 7.80 ml/kg for the distribution of blood plasma. %3D (a) Find a 99% confidence interval for the population mean blood plasma volumne in male firefighters. What is the margin of error? (Round your answers to two decimal places.) lower limit upper limit margin of error (b) What conditions are necessary for your calculations? (Select all that apply.) the distribution of volumes is normal the distribution of volumes is uniform o is unknown n is large o is known (c) Interpret your results in the context of this problem. O The probability that this interval contains the true average…arrow_forwardFifty male subjects drank a measured amount x (in ounces) of a medication and the concentration y (in percent) in their blood of the active ingredient was measured 30 minutes later. The sample data are summarized by the following information: n = 50 Ex = 112.5 Ex? = 356.25 %3D Ey = 4.83 Ey = 0.667 Exy = 15.255 0 < x < 4.5 Or= 0.875 Or= 0.709 Or= -0.846 Or=0.460 Or= 0.965arrow_forwardThe article "Electrical Impedance Variation with Water Saturation in Rock" (Q. Su, Q. Feng, and Z. Shang, Geophysics, 2000:68–75) reports measurements of permeabilities (in 10-3um?), porosities (in percent), and surface area per unit volume of pore space (in 104 cm -1) for several rock samples. The results are presented in the following table, denoting In Permeability by y, porosity by x1, and surface area per unit volume by x2. y -0.27 х, 19.83 X2 9.55 2.58 17.93 10.97 3.18 21.27 31.02 1.70 18.67 28.12 -1.17 7.98 52.35 -0.27 10.16 32.82 17.86 13.48 -0.53 57.66 -0.29 21.10 4.94 17.49 9.15 1.94 14.18 11.72 3.74 23.88 5.43 0.58 10.52 20.03 -0.56 18.92 13.10 -0.49 18.55 12.78 -0.01 13.72 40.28 -1.71 9.12 53.67 14.39 11.38 -0.12 26.75 -0.92 75.62 2.18 16.59 9.95 4.46 16.77 7.88 2.11 18.55 88.10 -0.04 18.02 10.95 Fit the model y = 6, + B,X1 + B>x2 + B3x;xX2 + ɛ. Compute the analysis of variance table. a. b. Fit the model y = Bo + B;X1 + B2X2 + ɛ. Compute the analysis of variance table. c.…arrow_forward
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