1. A sales person tests five random specimens of composite materials from five randomly selectedbatches, and the strengths are recorded below or in the data file, Strength.Batch379 357 390 376 37612363 367382 381 3593401 402407 402 39645402 387392 395 394415405 396 390 395(a) Complete the ANOVA table with EMS for each term.Source df Mean squares (MS)Mean squares (MS) Expected MS (EMS) FBatchErrorTotal(b) Using the result in (a), conduct a proper test for Batch. Report the null and alternativehypothesis, p-value, decision and conclusion.(c) Draw a side-by-side box plot to confirm your conclusion in (b). Report your findings.(d) Using the result in (a), what is the point estimate of the variance for Batch?

(a) **Completing the ANOVA table with EMS for each term:** - ANOVA (Analysis of Variance) is a…

Answered: 1. A sales person tests five random…

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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A producer of chocolate candy bars has developed an improved recipe for one of their most popular brands. They are conducting taste tests using randomly selected mall shoppers. One hundred shoppers were given the original recipe bar to taste and to rate it on a scale of 1 to 10. Another hundred shoppers were given the new recipe candy bar to taste and to rate it on a scale of 1 to 10. The results are in the table below for statistical analysis of variability between the two samples. All of these analyses are run wtih a 95% level of confidence. RATING, 1 to 10 Original Recipe New Recipe Sample Mean 7.8 8.1 Sample Standard Deviation 1.2 1.6 Use this information to answer the following questions. (a) Find the difference between these sample means. (b) Find the variance of the original recipe sample. (c) Find the variance of the new recipe sample. (d) Which test should be run to determine if there is evidence of a difference in consumer preferences between the two recipes?…
The data in table is from a randomized block design represent blood pressure measurements from an experiment involving 4 age groups, each with 3 persons. The 3 persons within each age group were randomly assigned to drugs, A, B and C with one person per drug. This was done to keep the drug assignments balanced within age groups. Comparing the three drugs in manner that provides balance for or control for possible age effects. Consider the data given in table below and compute; a. Mean Square Due to Treatments (MSTR) b. Mean Square Due to Blocks (MSBL) Mean Square Due to Error (MSE) C. d. F-test Treatments Age Groups (Blocks) A B 1 70 72 2 76 84 3 82 86 4 90 92 Total 318 334 C Total Blocks 80 222 82 242 84 252 88 270 334 986
The Insurance Institute for Highway Safety publishes data on the total damage suffered by compact automobiles in a series of controlled, low-speed collisions. The cost for a sample of 9 cars, in hundreds of dollars, is provided below. 10, 6, 8, 10, 5, 3.5, 7.5, 7,9.5 Find interquartile range for mileage data and value of variance.
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When an egg is removed from the nest of a goose, the goose will roll it back into the nest with its beak. (Run a one-way ANOVA on the data. Provide a complete summary table.) Small Medium Large 10 10 15 12 14 16 11 13 17 13 14 14 15 15 17 11 16 17 12 14 14
A company manufactures printers and fax machines at plants located in Atlanta, Dallas, and Seattle. To measure how much employees at these plants know about quality management, a random sample of 6 employees was selected from each plant and the employees selected were given a quality awareness examination. The examination scores for these 18 employees are shown in the following table. The sample means, sample variances, and sample standard deviations for each group are also provided. Managers want to use these data to test the hypothesis that the mean examination score is the same for all three plants. Sample mean Sample variance Sample standard deviation Plant 1 Atlanta 84 76 81 76 70 81 78 25.2 5.02 Plant 2 Plant 3 Dallas Seattle 72 74 72 74 70 88 75 42.8 6.54 60 64 62 68 76 66 66 32.0 5.66
According to Zero Population Growth, the average urban U.S. resident consumes 3.3 pounds of food per day. Is this figure accurate for rural U.S. residents? Suppose 64 rural U.S. residents are identified by a random procedure and their average consumption per day is 3.60 pounds of food. Assume a population variance of 1.31 pounds of food per day. Use a 5% level of significance to determine whether the Zero Population Growth figure for urban U.S. residents also is true for rural U.S. residents on the basis of the sample data. Appendix A Statistical Tables (Round your answer to 2 decimal places, e.g. 15.75.) The value of the test statistic is z = and we

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