To study the effect of temperature on yield in a chemical process, five batches were produced at each of three temperature levels.The results follow.70°C293438342736333137a. Construct an analysis of variance table (to 2 decimals but p-value to 4 decimals, if necessary).Source of Variation Sum of Squares Degrees of Freedom Mean SquareTreatmentsErrorTemperature50°C3525374060°C3435Fp-valueTotalb. Use a .05 level of significance to test whether the temperature level has an effect on the mean yield of the process.Calculate the value of the test statistic (to 2 decimals)...

Given that the chemical process depends on the different temperature levels. To test whether there…

Answered: To study the effect of temperature on…

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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The Table 1 shows the LDL cholesterol level in a sample of ten heart patients. Table 1: Total LDL cholesterol level 132 162 133 145 148 139 147 160 150 153 Calculate: (a) measures of central tendency. (b) range and semi inter-quartile range. (c) variance and determine the shape of skewness.
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?
To study the effect of temperature on yield in a chemical process, five batches were produced at each of three temperature levels. The results follow. Temperature 50°C 60°C 70°C 31 28 27 21 29 32 33 32 32 36 21 34 29 25 35 a. Construct an analysis of variance table (to 2 decimals but p-value to 4 decimals, if necessary). Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Treatments Error Total b. Use a 0.05 level of significance to test whether the temperature level has an effect on the mean yield of the process. Calculate the value of the test statistic (to 2 decimals). _________ The P-value is What is your conclusion? _____________
Suppose a car's city miles per gallon rating can be determined by the car's weight. The means and standard deviations of these variables and the correlation coefficient between them are reported in the following table: What proportion of the variability in cars' miles per gallon ratings is explained by the least squares line with weight?
Use the following returns for X and Y. Year Returns X Y 1 21.9% 26.7% 2 −16.9 −3.9 3 9.9 28.7 4 19.8 −14.8 5 4.9 32.7 Calculate the average returns for X and Y. Note: Do not round intermediate calculations and enter your answers as a percent rounded to 2 decimal places, e.g., 32.16. Calculate the variances for X and Y. Note: Do not round intermediate calculations and round your answers to 6 decimal places, e.g., .161616. Calculate the standard deviations for X and Y. Note: Do not round intermediate calculations and enter your answers as a percent rounded to 2 decimal places, e.g., 32.16.
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The following table shows the results of an analysis of variance comparing three treatment conditions. What is the value of h2, the percentage of variance accounted for? Source SS df MS Between 30 2 15 F = 7.50 Within 60 30 2 Total 90 32
Chapter 13 Assignment Hint(s) Check My Work 13 remaining) 2. To study the effect of temperature on yield in a chemical process, fve batches were produced at cach of three temperature levels. The results follow. 4. Temperature 5. 50°C 70°C 34 33 22 6. 24 34 27 36 37 27 39 26 29 32 30 30 Construct an analysis of variance table (to 2 dedmais but p-value to 4 decimals, if necessery). Source of Varlation Sum of Squares Degrees of Freedom Mean Square p-value Truatments Error Total 14 Use a 0.06 level of significonce to best whether the tempereture kvel hes an effect on the mean yiekd of the process. Calcu ate the value of the test stacistic (to 2 decimals). The p-value is batwoon D.01 and 0.02s What is your condlusion? De not reject the unptien thwt the men yieldu for the three bernperstures eequw
Two companies produce small motorcycles of varying quality. An important measure of quality is the top speed the motorcycle can obtain on a flat surface. Do the following data provide evidence that the average top speed of cycles from these two companies differ? Report the p-value to two decimal places. Do not assume equal variances. Top Speed in mph from Company 1 Top Speed in mph from Company 2 21.5 53.0 20.3 40.1 49.6 49.3 43.8 51.6 50.5 52.6 52.5 50.6 47.8 37.0 33.2
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