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QUESTION 5 The manufacturers of Good-o use two different types of machines to fill their 25...
The manufacturers of Good-O use two different types of machines to fill their 25 kg packs of dried dog food. On the basis of random samples of size 15 and 18 from output from machines 1 and 2 respectively, the mean and standard deviation of the weight of the packs of dog food produced were found to be 29.164 kg and 0.382 kg for machine 1 and 24.9 kg and 0.187 kg for machine 2. Hence, under the usual assumptions,...
A pet food producer fills 25-pound bags of dog food on two different production lines located in separate cities. In an effort to determine whether differences exist between the average fill rates for the two lines, a random sample of 17 bags from line 1 and a random sample of 22 bags from line 2 were recently selected. Each bag's weight was measured and the accompanying table reports the summary measures from the samples. Assume the two lines are normally...
Question 3 1 pts Two different types of injection-molding machines are used to form plastic parts. A part is considered defective if it has excessive shrinkage or is discolored. Two random samples, each of size 300, are selected and 15 defective parts are found in the sample from machine 1 and 8 defective parts are found in the sample from machine 2. What type of hypothesis test should you use to determine if both machines produce the same fraction of...
USING EXCEL TO THINK LIKE AN ENGINEER. Text book Please use excel to answer the question. Please do not attempt if you are new to excel, an example has been provided. You guys have gotten my last 4 answers wrong. -Assume that your company has received an order for 100,000 assemblies each consisting of two subassemblies. The two subassemblies end-to-end to create an assembly that is to be 3,000 mm in length with a lower specification limit of 2,995 mm...
The following ANOVA model is for a multiple regression model with two independent variables: Degrees of Sum of Mean Source Freedom Squares Squares F Regression 2 60 Error 18 120 Total 20 180 Determine the Regression Mean Square (MSR): Determine the Mean Square Error (MSE): Compute the overall Fstat test statistic. Is the Fstat significant at the 0.05 level? A linear regression was run on auto sales relative to consumer income. The Regression Sum of Squares (SSR) was 360 and...