3. Which of the following are practical ways to assess equal variances of the residuals?Select all that applya. Hartley's F-max test (provided data look normal and sample sizes are same);b. Bartlett's test (provided normality seems to hold; sample sizes do not have to bethe same);c. Levene's test (normality and equal sample sizes aren't needed)d. Boxplots of residuals, or boxplots of standardized residuals, or boxplots of theoriginal data.e. Boxplots of cats and dogs.

The equal variance of residuals:The assumption of homogeneity of variance is important for ANOVA…

Answered: 3. Which of the following are practical…

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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There are some temperature measurements of this month in San Francisco and Fresno. The sample size in San Fransico is 23 and the sample size in Fresno is 17. The sample means and variances were computed and tabulated in the following table: Sample Size Sample Mean (oF) Sample Variance (oF) San Francisco 30 75.5 4 Fresno 11 73.3 6 a) Is there a significant difference in the mean temperature between San Francisco and Fresno at a significance level of 5%? Assume that the population variances in both cities are the same. b) Based on the measurements, what are the confidence interval of variances in San Francisco and Fresbi, respectively? Use a 90% confidence level. c) Use the above question (question b) as an example, how does the number of samples affect the width of your confidence interval?
Which is not one of the major assumptions typically associated with parametric tests of significance? A. Random Selection B. Homogeneity of Variance C. Absence of restricted ranges
A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. The sample statistics are listed below. Test the local bank’s claim. Use the information given below. Use a significance level of .05 and assume the variances are equal. 1. Identify what they are given and what they need to find; 2. Identify the type of problem they have been given and the tools necessary to solve the problem; 3. Correctly apply the tools to the information given to set up the problem; 4. Perform mathematically correct calculations to determine a solution; 5. Interpret their results in terms of the original problem.
The Tukey-Kramer procedure is used for which of the following purposes?A. Test for differences in pairwise means.B. Test for normality of residuals.C. Test for independence of errors.D. Test for homogeneity of variances.
A researcher was interested in knowing if mean BMI was different between males and females. He obtained the following test results. Choose the correct interpretation of the results: F test p value = 0.03 Two sample t test, assume equal variance = 0.02 Two sample t test, assume unequal variance = 0.06 Mean BMI is higher in males than females. None Mean BMI is not significantly different between males and females. Mean BMI is significantly different between males and females.
1. When applying one-way analysis of variance (ANOVA), all the following are key assumptions that should be satisfied EXCEPT: A. Samples are obtained independently and randomly from the population defined by the factor level. B. The mean of the samples taken from the population is always equal. C. The population at each factor level is approximately normally distributed. D. The population have a common variance. 4. The sum of squares for treatment (SST) measures: A. the variation above the k sample means. B. the variation below the k sample means. C. the variation between the k sample means. D. the variation within the k sample means. 5. Which of the following is NOT true for the F- distribution? A. It is generally skewed to the left. B. It has two degrees of freedom. C. It is continuous. D. Its units are non-negative. 2. Which of the following components in an ANOVA table are NOT additive? A. Mean squares B. Degree of freedom C. Sum of squares D. It is not possible to tell. 3. The…
A researcher was interested in knowing if mean BMI was different between males and females. He obtained the following test results. Choose the correct interpretation of the results: F test p value = 0.30 Two sample t test, assume equal variance = 0.02 Two sample t test, assume unequal variance = 0.61 Mean BMI is not significantly different between males and females. None Mean BMI is higher in males than females. Mean BMI is significantly different between males and females.
Which of the following conclusions is correct for these test results? > bartlett.test(len~river, data=rivers) Bartlett test of homogeneity of variances data: len by river Bartlett's K-squared = 0.61394, df = 4, p-value = 0.5226 %3D Hint* the first line of code should tell you the type of test you are dealing with. There is NO significant difference in variances among the rivers. There is a significant difference in variances among the rivers. There is NO significant difference in means among the rivers.
Explain the circumstances under which we would need to pool the variance for an independent samples t-test
Given below are the analysis of variance results from a stat software display comparing sample data for the meanmileage for 4 different types of cars. Assume that you want to use a 0.05 significance level in testing the null hypothesisthat the different samples come from cars with the same mileage. What can you conclude about the equality of the population means?Source DF SS MS F pFactor 3 13.500 4.500 5.17 0.011Error 16 13.925 0.870Total 19 27.425 12)What is the null and alternative hypothesis for this scenari?Based on this One Way Anova software analysis, would you reject of fail to reject the nul hypothesis?What does this result mean in context?
Which of the following factors have each of the advantages listed when using analysis of variance? Multiple answers can be chosen. 1. Makes ANOVA more robust to departures from the assumption of normality. 2. Makes ANOVA more robust to departures from the assumption of equal variance. 3. Increases the power of the test. Options: Large sample size. Balanced design.
A researcher wants to measure average cardiovascular health of university students and compare those scores to the average scores in the general population. Assuming that population variance is known, what statistical test is most appropriate for this study? independent-samples t-test single-sample t-test z-test for sample mean related-samples t-test

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