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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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
Actuaries use various parameters when evaluating the cost of a life insurance policy. The variance of the life spans of a population is one of the parameters used for the evaluation. Each year, the actuaries at a particular insurance company randomly sample 30 people who died during the year (with the samples chosen independently from year to year) to see whether the variance of life spans has changed. The life span data from this year and from last year are summarized below. Current Last Year Year x1 = 75.8 | x,= 76.2 si= 47.61 s3= = 92.16 (The first row gives the sample means and the second row gives the sample variances.) Assume that life spans are approximately normally distributed for each of the populations of people who died this year and people who died last year. Can we conclude, at the 0.05 significance level, that the variance of the life span for the current year, of, differs from the variance of the life span for last year, o,? Perform a two-tailed test. Then complete the…
How do I interpret the 6 characteristics whith the data given? Column Mean Median Range Variance Std. dev. 1 - Cholesterol 253.92857 268 218 2276.291 47.710492
Consider the following data: 7 8 P(X = x) 0.2 0.2 0.2 0.2 0.2 %3D Step 2 of 5: Find the variance. Round your answer to one decimal place. 5.
Two companies produce widgets of varying quality. An important measure of quality is the number of days the widgets can go before they need to be replaced. Do the following data provide evidence that the quality of widgets from the two companies differ? Round the p-value to three decimal places. Do not assume equal variances. Widget Life in Days from Company 1 Widget Life in Days from Company 2 12.0 52.2 14.0 45.8 48.4 44.6 47.0 57.5 50.4 44.2 57.4 50.8 30.8 43.0 30.0
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
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
You are doing a one way analysis of variance on the fuel consumption of different makes of cars. You measure the fuel consumption of 60 cars in total. The number of car makes is 6 for this experiment. The data is given below: Source Sum of squares Treatments 206.56 Errors 40.19 Find the mean squared for treatment. Give your answer to 2 decimal places.
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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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