The following data are from a completely randomized design.a. Compute the sum of squares between treatments (to the nearest whole number).b. Compute the mean square between treatments (to 1 decimal).c. Compute the sum of squares due to error (to the nearest whole number).d. Compute the mean square due to error (to 1 decimal).TreatmentsErrorSample meanSample variancee. Set up the ANOVA table for this problem. Round all Sum of Squares to nearest whole numbers. Round all Mean Squares to one decimal place. Round F to two decimal places. Round your p-value to four decimal places.Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-valueTotalf. At the a = 0.05 level of significance, test whether the means for the three treatments are equal.Calculate the value of the test statistic (to 2 decimals).The p-value is - Select your answer -What is your conclusion?TreatmentABс163149123142158121T166129132145149142147137154173136132156143134167.2115.6 152.4Check My

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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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Provide two synonyms for “the distribution of all possible sample means for samples of a given size.”
1. in one-way ANOVA, identify the statistic used as a measure of variation among the sample means. as a measure of variation within the samples. to compare the variation among the sample means to the variation within the samples. 2. What is a two-way ANOVA?
Another idea is to look at how a team's payroll impacts its home attendance. Higher payroll usually signals more higher-skilled players on a roster which should brings fans to the ballpark to see these players. Create 2 samples based on Team Salary and calculate average attendance, variance of attendance, and standard deviation of attendance for each sample. Sample 1 = 10 teams with the highest team salary Sample 2 = 10 teams with the lowest team salary Tip: Use Excel's sorting tool to sort the data by salary (highest to lowest), and copy the 10 highest and 10 lowest into a separate part of the spreadsheet for easier analysis. Sample 1 Sample 2 Top 10 Team Salary Bottom 10 Team Salary Sample mean attendance mil mil Sample attendance variance mil mil Sample attendance standard deviation mil mil Perform a hypothesis test to determine whether there is a difference in the mean attendance of teams between the two groups…
An expert reviews a sample of 10 scientific articles and records the following number of errors in each article: 0, 4, 2, 8, 2, 3, 1, 0, 5,7. Compute the mean, SS, variance, and standard deviation for this sample using the computational formula.
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
i. Combined ratio gives the higher estimated variance than the separate ratio estimator. A. True B. False ii. The difference estimator is always unbiased in simple random sample. A. True B. False
After the measles outbreak, the barangay captain of Big Rock wanted to assess the satisfaction of the residents to his actions during the outbreak. He then obtained a random sample of 5 residents per block (Block 1 to Block 5) and asked them their satisfaction (1 - very dissatisfied, 2 - dissatisfied, 3 - satisfied, 4 - very satisfied). He wanted to know if the satisfaction of his residents differ from across blocks. 1. TRUE OR FALSE: We should test the normality of responses per blocks before we proceed with the test of hypothesis on comparing these responses across blocks. 2. The appropriate alternative hypothesis to compare satisfaction of residents across blocks is ____. ( See image for choices) 3. The appropriate test procedure to test the hypothesis is ___. A. T-test B. Z-test C. F-test using ANOVA D. Kruskal-Wallis Test E. None of the above
Even if a treatment has no effect, it is still possible to obtain an extreme sample mean that is very different from the population mean. Which outcome is likely if this happens?
State the four assumptions required for one-way ANOVA. How crucial are these assumptions? One-way ANOVA is a procedure for comparing the means of several populations. It is the generalization of what procedure for comparing the means of two populations?

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