Consider the following partially completed two-way ANOVA table. Suppose there are 3 levels of Factor A and 2 levels of Factor B. Thenumber of replications per cell is 4. Use the 0.05 significance level. (Hint: estimate the values from the Ftable.)1. Complete an ANOVA table. (Round MS and Fto 2 decimal places.)SourcedfMSFactor A85Factor B30Interaction250Error200Total5652. Find the critical values to test for equal means. (Round your answers to 2 decimal places.)Critical values to test for equal means are Factor AFactor Band Interactionrespectively.3. Determine if there is a significant difference in Factor A means, Factor B means.There isin Factor A and there isin Factor B means.

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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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Look at the ANOVA table. These are the results of an experiment that was done to test whether C (soil carbon) would differ after various methods of site prepartation before tree seedlings were planted. To measure carbon in the soil, the 0-5 cm and 6-10 cm topsoil depths were sampled and analyzed for C. Thus, there were 2 depths, 3 treatments sampled about 26 years after site prepartation occured. a. How do we test the significance of ANOVA? b. One of the assumptions of ANOVA is that the variance of Y is the same for all x values (Xi). What is meant by that statement?
Individual actions can play a large role in the overall health of our planet. A researcher interested in evaluating environment friendly behaviors evaluated how often people recycle (per month) based on whether they have an overall optimistic or an overall pessimistic attitude toward eco-friendly behaviors. The results from this hypothetical study are given in the table. Test whether or not recycling behaviors differed between groups using a .05 level of significance. State the value of the test statistics and the decision to retain or reject the null hypothesis. Compute effect size using eta- squared (n^2). Pessimistic Optimistic 3 4 0 9 4 6 2 8 1 9 6 5 3 6 5 8 0 6 5 7
In the US, 45.1% of all people have type O blood, 40.9% have type A blood, 10.6% have type B blood and 3.4% have type AB blood. A researcher wants to see if the distribution of blood type is different for millionaires. The table below shows the results of a random sample of 3564 millionaires. What can be concluded at the αα = 0.10 significance level? Complete the table by filling in the expected frequencies. Round to the nearest whole number: Outcome Frequency Expected Frequency O 1590 A 1477 B 388 AB 109 What is the correct statistical test to use? What are the null and alternative hypotheses?H0: The distribution of blood type for millionaires is the same as it is for Americans in general. Blood type and income are independent. Blood type and income are dependent. The distribution of blood type for millionaires is not the same as it is for Americans in general. H1: The distribution of blood type for millionaires is not the same as it is for…
Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.
Please answer the remaining questions regardless of whether you decided that there was or was not significant interaction. Use the Excel output to write out the conclusions of the Two-way Anova F-test, and use a 5% significance level. Choose the options that will create the correct row factor conclusion. The row factor P-value of 0.00000033314 is not very low , so we [ Select ] ["cannot conclude", "conclude"] that [ Select ] ["Medications", "Poisons", "Survival Times"] affect Survival Times .
Consider the following partially completed two-way ANOVA table. Suppose there are 6 levels of Factor A and 4 levels of Factor B. The number of replications per cell is 6. Use the 0.05 significance level. (Hint: estimate the values from the Ftable.) 1. Complete an ANOVA table. (Round MS and Fto 2 decimal places.) Rectangular Snip Source Ss df MS Factor A 740 Factor B 80 Interaction 300 Error 600 Total 1,720 2. Find the critical values to test for equal means. (Round your answers to 2 decimal places.) Factor B and Interaction Critical values to test for equal means are Factor A respectively
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