The following data represent the number of corn plants in randomly sampled rows (a 17-foot-by-5-inch strip) for various plot types.PLOT TYPENUMBER OF PLANTSSludge Plot25 27 33 30 28 27Spring Disk32 30 33 35 34 34No Tll30 26 29 32 25 39Spring Chisele30 32 26 28 31 29Great Lakes Bt28 32 27 30 29 270001. Compute the mean (in 3 significant figures) for the following:(a) sludge plotBlank 1(b) No till Blank 2(c) Great Lakes Bt Blank 31. Determine the median of the spring chisele plot Blank 42. Determine the mode of spring disk plot. Blank 5.

1. (a) Mean for Smudge Plot is given by Mean=25+27+33+30+28+276=28.333 (b) Mean for No till is…

Answered: The following data represent the number…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Suppose that the average salary of health systems professionals is normally distributed with µ=KES 40,000 and σ = KES 10,000. What proportion of professionals will earn KES 24,800 or less? What proportion of professionals will earn KES 53,500 or more? What proportion of professionals will earn between KES 45,000 and KES 57,000? Calculate the 80th percentile. Calculate the 27th percentile
The following scatterplot and table represent the mean monthly temperature and rainfall of a coastal city over a period of 10 months. 325 300 275 250 225 200 rainfall (mm) 175 150 100 75 50 25 Temp 18 (°C) Rainfall 45 (mm) 15 X 10" 11" 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Temperature "C 20 19 Mean monthly temperature and rainfall 50 25 22 24 X 115 65 X 28 26 27 29 100 300 190 175 200 2.1 Determine the equation of the least squares regression line. 2.2 Identify the outlier. 2.3 Sketch the equation of the regression line on the DIAGRAM provided at the end of your paper. 2.4 Determine the value of the correlation coefficient and comment on the relationship between the mean temperature and the mean rainfall. 2.5 If the mean temperature recorded for a certain month is 14°C, calculate the mean rainfall for that month. How reliable is your answer? Explain and motivate your answer.
tled1.tst 1 / 1 dent/Downloads/Math%201332%20Activity%20%236.pdf X 1 Find the mean, mode, median and midrange. 2) 2 Score Frequency 3 4 5 X 6 Math 1332 Activity #6.pdf: 6231- 7 8 9 10 119% + B HLSATOOGEE f 1 5 4 7 6 10 12 11
To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Manufacturer 1 2 3 20 30 15 26 28 14 24 33 18 22 29 17
4.- For the following data set 10, 7, 6, k, 4, 7, 1, 10. Find the value of k so that (a) X = 6.25 (b) X = 7.5 Villalobos 2020 22 (c) M = 7 (d) MR = 10 CHAPTER 3. DATA DESCRIPTION
To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Manufacturer 1 2 3 25 34 15 31 32 14 29 37 18 27 33 17 a. Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use a = 0.05. Sum of squares, treatment = Sum of squares, error = Mean squares, treatment = mean squares, error = Calculate the value of the test statistic (to 2 decimals). The P-value is: Less than 0.01, between 0.01 and 0.025, between 0.025 and 0.05, between 0.05 and 0.10, greater than 0.10 What is your conclusion? b. At the a = 0.05 level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers 1 and 3. What conclusion can you draw after carrying out this test?
For the data given below, fill in the blanks, using Formulas, Descriptive Statistics and Regression outputs. Mean of X2: 1) 28th Percentile of X1: 2) 3) Standard Deviation of X2: 4) Y XI X2 10 20 400 70 11 30 450 97 12 Median of X2: 10 350 54 5) Correlation Between X1 and Y: Minimum value of X2: 13 20 375 40 14 6) 30 400 65 15 9) bo : 25 400 94 16 7) b,. 30 450 53 17 8) 20 300 35 10) 11) 18 SSR: 10 300 75 19 SSE: 40 300 53 ST: F Statistics: 20 12) Regression output 20 350 64 13) 14) 21 30 450 68 22 Adjusted R Square: 10 400 96 23 15) MSE: 30 325 54 24 16) MSR: 25 17) Standard Error of Regression: 18) 19) 20) 26 Standard error of X2: 27 t-statistics of X2: 28 Fit the regression equation: 29 30 Sheet1
The manager of a fleet of automobiles is testing two brands of radial tires and assigns one tire of each brand at random of eight cars and runs the cars until the tires wear out. The data (in kilometers) follow. Is there any difference in mean life of these two brands of tires? Car Brand Brand 36,925 34.318 42,280 1 45.300 36,240 3 4 35.500 32,100 31,950 38,015 37.210 48,360 5 47,800 38,200 37,810 33.500 33,215 6. 7 8. 1. Is this samples independent or paired samples? Explain. 2. Write Ho and H1 3. Calculate Test statistics(T). 4. What is the critical value (T from tables)? 5. What is your conclusions if a = 0.05? 6. Estimate with 90% confidence the different in the means. Which brand would you prefer based on this calculation?
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