The percentage crude protein content of hay was determined based on 10 bale samplescollected from each of four locations (plots as treatments) on a large ranch as follows:Plot A12.813.411.211.69.410.314.111.910.510.4C.Plot B8.110.34.27.85.68.112.76.86.96.4Plot C9.810.69.14.311.211.68.38.99.26.4Plot D16.48.215.110.47.89.212.611.08.09.8Set up and complete an ANOVA table for a completely randomized block design.Show all work.

The question is about ANOVA.Given :To find :Set up and complete ANOVA table

Answered: The percentage crude protein content of…

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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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 overall health and physical activity of an individual. Suppose that a random sample of 40 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 = 7.10 ml/kg for the distribution of blood plasma. When finding an 99% confidence interval, what is the critical value for confidence level? (Give your answer to two decimal places.) (a) Find a 99% confidence interval for the population mean blood plasma volume 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.) n is large the distribution of volumes is normal o is unknown the distribution of volumes is uniform…
18. We want to study the relationship between size (sq. m) and the price of houses. We randomly chose 25 houses and recorded the size and price of them. The excel output for the data is given below: Regression statistics: Multiple R: 0.586378154 R Square: 0.343839339 Adjusted R Square: 0.315310615 Standard Error: 34761.73162 Observations: 25 df SS MS F SignificanceF Regression 1 14563843876 1.46E+10 12.05239 0.0020659 Residual 23 27792693660 1.21E+09 Total 24 42356537536 Coefficients StandardError T stat P-value lower95% upper95% Lower95.0% upper95.0% Intercept 189769.0334 28557.61831 6.645128 8.85E-07 130693.1 248844.968 130693.1 248844.968 Size (sq.meter) 444.1951525 127.9490924 3.471655 0.002066 179.51229 708.878016 179.51229 708.878016 Write down your answers to (a)-(c) in the box below. Give your answers to 4 decimal places. Write down 95% confidence interval for the slope of the relationship between price and size. We want to…
Concrete blocks to be used in a certain application are supposed to have a mean compressive strength of 1500 MPa. Samples of size 1 are used for quality control. The compressive strengths of the last 40 samples are given in the following table. Sample Strength 1487 1463 3 1499 1502 1473 1520 1520 1495 1503 10 1499 11 1497 12 1516 13 1489 14 1545 15 1498 16 1503 17 1522 18 1502 1499 1484 19 20 21 1507 22 1474 23 1515 1533 1487 1518 24 25 26 27 1526 28 1469 29 1472 30 1512 1483 1505 31 32 33 1507 34 1505 1517 1504 35 36 37 1515 38 1467 39 1491 40 1488 Previous results suggest that a value of o = 15 is reasonable for this process. a. Using the value 1500 for the target mean u,and the values k = 0.5 and h = 4, construct a CUSUM chart. b. Is the process mean in control? If not, when is it first detected to be out of control?
The given data are for cost, in cents, to print one page of text for 20 printers. a) Find the percentile corresponding to 5.4 b) Find the percentile corresponding to 3.5 c) Find the percetile corresponding to 3.2 Show your work.
For the following table, the ascending order (sachaill wjill) of samples and their data spread is: Sample R S T Mean 4.9 4.5 5.1 Variance 100 100 100 O ST
Perform PCA or principle component analysis on the following data: х1 x2 x3 810.6 13.4 42.93 1775 24.2 32.319 430.4 5.7 60.434 459.8 9 21.398 802.4 13.9 55.778 279.6 20.4 53.236 288.4 4.6 63.208 152.7 7.3 59.727 253.4 9.9 48.037 358.6 13.5 48.288 72 12.8 36.507 205 5.9 37.195 253.6 15.8 36.964 416.5 12.3 42.83 1075.9 17.1 39.684 Answer the following questions based on the PCA: • How many principle components were created? • What percent of total variance is accounted for by the calculated principal components? (Round to 2 decimal places) • What are the weights for computing the first principle component scores? (Round to 4 decimal places) o x1: • x2: o x3:
The weight percent of silicon in six different rock samples, each containing different amounts of silicon, was measured by two different methods. The results are given in the table. Sample Method A Si wt% Method B Si wt% 1 11.570 11.500 2 15.380 15.300 3 17.950 17.830 4 22.840 22.810 5 25.110 25.150 6 27.070 27.040 Determine tcalc. tcalc = Determine ttable at the 95% confidence level. A list of t values can be found in the Student's t table. ttable =
Use Microsoft Excel to answer all the questions The grams of solids removed from a material (y) is thought to be related to the drying time. Ten observations obtained from an experimental study follow: x=(4.3 1.5 1.8 4.9 4.2 4.8 5.8 6.2 7.0 7.9) Y=(2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0) a) Construct a scatter diagram for the data. (b) Fit a simple linear regression model IF
An article discussed the opening of a Market. The following data compared the prices of some kitchen staples at the new Market (group 1) and at the old Market (group 2) located 15 blocks away. ITEM GROUP 1 GROUP 2 HALF GALLON MILK 16.8 22.0 DOZEN EGGS 11.7 15.2 ORANGE JUICE (64OZ) 15.6 18.7 HEAD OF LETTUCE 16.7 15.6 1LB GROUND BEEF 17.5 20.8 6OZ TUNA 18.1 19.5 1LB APPLES 14.1 17.0 LINGUINI 21.8 19.5 SALMON STEAK 1LB 13.9 16.5 WHOLE CHICKEN PER LB 20.8 24.0 A. Use math symbol to formulate null hypothesis and alternative hypothesis to test whether there is evidence that the mean price is lower at Group 1 or Group 2. (use without calculator functions)
Suppose samples of six different brands of diet or imitation margarine were analyzed to determine the level of physiologically active polyunsaturated fatty acids (PAPUFA, in percent), resulting in the data shown in the accompanying table. Imperial 14.1 13.6 14.6 14.3 Parkay 12.8 12.5 13.6 13.0 12.3 Blue Bonnet 13.5 13.4 14.1 14.5 Chiffon 13.2 12.7 12.6 14 Mazola 16.8 17.3 16.4 17.3 18.0 Fleischmann's 18.1 17.2 18.8 18.4 (a) Test for differences among the true means for PAPUFA percentages among the different brands. Use ? = 0.05. Calculate the test statistic. (Round your answer to two decimal places.) F = Use technology to find the P-value. (Round your answer to four decimal places.) P-value = What can you conclude? Reject H0. There is convincing evidence that the mean PAPUFA percentages for the six brands are not all equal.Fail to reject H0. There is convincing evidence that the mean PAPUFA percentages for the six brands are not all equal. Reject…
Here are some data on the heights of giraffe. Calculate a 100% CI: 3.6 3.7 3.8 3.8 4.1 4.2 4.2 4.2 4.2 4.5 4.6 5.1 Some possibly useful statistics: = 4.167, s = 0.4250
The percentage crude protein content of hay was determined based on 10 bale samples collected from each of four locations (plots as treatments) on a large ranch as follows: Plot A 12.8 13.4 11.2 11.6 9.4 10.3 14.1 11.9 10.5 10.4 b. Plot B 8.1 10.3 4.2 7.8 5.6 8.1 12.7 6.8 6.9 6.4 Plot C 9.8 10.6 9.1 4.3 11.2 11.6 8.3 8.9 9.2 6.4 Plot D 16.4 8.2 15.1 10.4 7.8 9.2 12.6 11.0 8.0 9.8 Set up and complete an ANOVA table for a one-way analysis. Show all work.

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