To study the effect of temperature on yield in a chemical process, five batches were produced at each of three temperature levels. Theresults follow.Temperature50°C60°C70°C342923243028363328392230322631a. 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 Squarep-valueTreatmentsErrorTotalb. 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).The p-value is - select your answer -What is your conclusion?- Select your answer -00

Use EXCEL Procedure to obtain the table for ANOVA. Follow the instruction to obtain the values for…

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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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 36 35 28 26 36 33 38 39 33 41 28 35 34 32 36 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 Use a 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 -value is What is your conclusion?
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? _____________
Heights The heights (cm) in the following table are from Data Set 1 “Body Data” in Appendix B. Results from two-way analysis of variance are also shown. Use the displayed results and use a 0.05 significance level. What do you conclude? XLSTAT
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 34 29 28 24 30 33 36 33 33 39 22 35 32 26 36 a. Construct an analysis of variance table (to 2 decimals, if necessary). Round p-value to four decimal places. p-value Source of Variation Sum of Squares Degrees of Freedom Mean Square Treatments Error Total b. Use a .05 level of significance to test whether the temperature level has an effect on the mean yield of the process. The p-value is Select What is your conclusion? Select 00
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 34 30 23 24 31 28 36 34 28 39 23 30 32 27 31 a. Construct an analysis of variance table (to 2 decimals, if necessary). Source of Variation Sum of Squares Degrees of Freedom Mean Square F Treatments Error Total b. Use a .05 level of significance to test whether the temperature level has an effect on the mean yield of the process. The p-value is greater than .10 What is your conclusion? Conclude that the mean yields for the three temperatures are all equal
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
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 30 27 21 31 32 33 34 32 36 23 34 29 27 35 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 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). The p-value is What is your conclusion?
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
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The article cited in Exercise 19 provides measures of electrical conductivity (in uS/cm). The results are presented in the following table. Sample Size 49 Location Mean SD Upstream 463 208 Midstream 363 98 31 Downstream 647 878 30 Can a one-way analysis of variance be used to determine whether conductivity varies with location? Or is one of the necessary assumptions violated? Explain.

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