The article "Solid-Phase Chemical Fractionation of Selected Trace Metals in SomeNorthern Kentucky Soils" (A. Karathanasis and J. Pils, Soil and Sediment Contamination,2005:293-308) presents pH measurements of soil specimens taken from three"different types of soils. The results in the following table are consistent with"means and standard deviations reported in the article.Soil Type pH MeasurementsAlluvium 6.53, 6.03, 6.75, 6.82, 6.24Glacial6.07, 6.07, 5.36, 5.57, 5.48, 5.27, 5.80, 5.03, 6.65TillResiduum 6.03, 6.16, 6.63, 6.13, 6.05, 5.68, 6.25, 5.43, 6.46,6.91, 5.75, 6.53Construct an ANOVA table. You may give a range for the P-value.Can you conclude that there are differences among the mean pH levels?a.b.

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Answered: The article "Solid-Phase Chemical…

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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2. Five 2 cm thick experimental pieces of an insulation material were tested atrandom. Resulted compression (y) was measured recorded for the given amount ofmeasured pressure. The data are listed below:Pressure Compression1 12 23 24 35 5Fit a simple linear model relating compression y to the applied pressure x and find:a) error variance.b) the coefficient of correlation.
C-4) The concentration of active ingredient in a liquid laundry detergent is thought to be affected by the type of catalyst used in the process. Ten observations on concentration are taken with each catalyst, and the data follow: Catalyst 1: 57.9, 66.2. 65.4, 65.4, 65.2. 62.6, 67.6, 63.7, 67.2. 71.0 Catalyst 2: 66.4. 71.7. 70.3. 69.3, 64.8, 69.6, 68.6, 69.4, 65.3, 68.8. Find a 95% confidence interval on the ratio of active concentrations for the two catalysts, and explain it.
Table 3: Significant Influence between Management Capability of Administrators and Productivity of Employees Leadership Skills Productivity of Employees Beta t-value p-value Skills .624** 1.56 .000 Knowledge .456** 4.25 .000 Aptitudes .552** 4.22 .000 R2 =.639 Evalue=6.45 p value=.000 Present, analyze and interpret the data. Make inference at the end of your discussion
The mean annual temperature of a place is reported in literature to be 16.5°C. Measurements over 1992 to 2009 show a mean temperature of 14.65°C and a variance of 4.75°C. Test the hypothesis that the mean annual temperature of the place has changed from the past at a significance level of 5%.
a) which for these data is 32.1470, 42.3520, or 10.0674 c) that minimizes the error sum of squares, total sum of squares, or regression sum of squares…for which these data is 32.1470, 42.3520, or 10.0674
The question is at end of Merged document.jpg.
When the nature of population from which samples is drawn is not known to be normally distributed the data can be analysed with the help of a. Parametric statistics b. Descriptive statistics c. Non-parametric statistics d. None of the above
Several methods of estimating the number of seeds in soil samples have been developed by ecologists. An article gave the accompanying data on the number of seeds detected by the direct method and by the stratified method for 27 soil specimens. Specimen Direct Stratified 1 21 6 2 32 38 3 0 6 4 60 58 5 20 52 6 61 61 7 40 26 8 6 6 9 12 6 10 92 100 11 1 0 12 66 58 13 78 66 14 21 52 Specimen Direct Stratified 15 32 26 16 0 0 17 38 38 18 18 12 19 92 92 20 1 12 21 40 46 22 21 21 23 0 0 24 6 12 25 12 40 26 18 12 27 40 78 Do the data provide sufficient evidence to conclude that the mean number of seeds detected differs for the two methods? Test the relevant hypotheses using ? = 0.05. (Use ?direct − ?stratified.) Find the test statistic. (Round your answer to two decimal places.) t = Find the df. (Round your answer down to the nearest whole number.) df = Use technology to find the P-value. (Round your answer to four…
In this problem, we use your critical values table to explore the significance ofr based on different sample sizes. Critical Values for Correlation Coefficient r a = 0.05 =0.01 „A=0.05 a = 0.01 a = 0.05 a = 0.01 3. 1.00 1.00 13 0.53 0.68 23 0.41 0.53 4. 0.95 0.99 14 0.53 0.66 24 0.40 0.52 0.88 0.96 15 0.51 0.64 25 0.40 0.51 6. 0.81 0.92 16 0.50 0.61 26 0.39 0.50 0.75 0.87 17 0.48 0.61 27 0.38 0.49 8. 0.71 0.83 18 0.47 0.59 28 0.37 0.48 9. 0.67 0.80 19 0.46 0.58 29 0.37 0.47 10 0.63 0.76 20 0.44 0.56 30 0.36 0.46 11 0.60 0.73 21 0.43 0.55 12 0.58 0.71 22 0.42 0.54
Following are measurements of soil concentrations (in mg /kg) of chromium (Cr) and nickel (Ni) at20 sites in the area of Cleveland, Ohio. These data are taken from the article "Variation in NorthAmerican Regulatory Guidance for Heavy Metal Surface Soil Contamination at Commercial andIndustrial Sites" (A. Jennings and J. Ma, J. Environment Eng, 2007:587-609). Cr: 260 19 36 247 263 319 317 277 319 264 23 29 61 119 33 281 21 35 64 30Ni: 435 377 359 53 38 38 54 188 397 33 92 490 28 35 799 347 321 32 74 508 (a) Construct a histogram for each set of concentrations. (b) Find the 1st, 2nd and 3rd quartiles for the Cr concentrations (c) Find the 1st, 2nd and 3rd quartiles for the Ni concentrations.
An article contained the following observations on degree of polymerization for paper specimens for which viscosity times concentration fell in a certain middle range: 416 421 422 423 426 428 430 434 437 439 446 447 449 453 456 462 464 Comment on any interesting features. (Select all that apply.) __The data appears to be centered near 438. __There are no outliers. __There is little or no skew. __There is one outlier. __The data is strongly skewed. __The data appears to be centered near 428. (c) Calculate a two-sided 95% confidence interval for true average degree of polymerization. (Round your answers to two decimal places.) (______,_______)
A. 2.1

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