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a-2. At the 5% significance level, can you conclude that the average values differ by appraiser? a-2. At the 5% significance level, can you conclude that the average values differ by appraiser? O No. since the p-value associated with appraiser is less than significance level. O Yes . since the p-value associated with appraiser is greater than significance level. O Yes since the p-value associated with appraiser is less than significance level. O No. since the p-value associated with appraiser is greater than significance level. a-3. Should the bank be concerned with appraiser inconsistencies? Yes O No b. At the 5% significance level, can you conclude that the average values differ by house type? O Yes. since the p-value associated with house type is less than significance level. O No . since the p-value associated with house type is greater than significance level. O No. since the p-value associated with house type is less than significance level. O Yes. since the p-value associated with house type is greater than significance level.

a-2. At the 5% significance level, can you conclude that the average values differ by appraiser? a-2. At the 5% significance level, can you conclude that the average values differ by appraiser? O No. since the p-value associated with appraiser is less than significance level. O Yes . since the p-value associated with appraiser is greater than significance level. O Yes since the p-value associated with appraiser is less than significance level. O No. since the p-value associated with appraiser is greater than significance level. a-3. Should the bank be concerned with appraiser inconsistencies? Yes O No b. At the 5% significance level, can you conclude that the average values differ by house type? O Yes. since the p-value associated with house type is less than significance level. O No . since the p-value associated with house type is greater than significance level. O No. since the p-value associated with house type is less than significance level. O Yes. since the p-value associated with house type is greater than significance level.

MATLAB: An Introduction with Applications
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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First National Bank employs three real estate appraisers whose job is to establish a property's market value before the bank offers a mortgage to a prospective buyer. It is imperative that each appraiser values a property with no blas. Suppose First National Bank wishes to check the consistency of the recent values that its appraisers have established. The bank asked the three appraisers to value (in $1,000s) three different types of homes: a cape, a colonial, and a ranch. The accompanying table shows the results. Assume that values are normally distributed. (You may find it useful to reference the g table.) Appraiser 1 Appraiser 2 Appraiser 3 434 539 379 Cape colonial 420 414 530 393 547 Ranch 398 picture Click here for the Excel Data File a-1. Construct an ANOVA table. (Leave no cells blank. Round "SS" and "MS" to 2 decimal places, and "P and "p-value" to 3 decimal places.) ANOVA Source of Variation SS df MS pvalue Rows Columns Error Total 0.00 a-2. At the 5% significance level, can you conclude that the average values differ by appraiser? a-2. At the 5% significance level, can you conclude that the average values differ by appraiser? O No. since the p-value associated with appraiser is less than significance level. O Yes since the p-value associated with appraiser is greater than significance level. O Yes. since the p-value associated with appraiser is less than significance level. O No . since the p-value associated with appraiser is greater than significance level. a-3. Should the bank be concerned with appraiser inconsistencies? O Yes O No b. At the 5% significance level, can you conclude that the average values differ by house type? O Yes. since the p-value associated with house type is less than significance level. O No. since the p-value associated with house type is greater than significance level. O No. since the p-value associated with house type is less than significance level. O Yes. since the p-value associated with house type is greater than significance level.
Transcribed Image Text:First National Bank employs three real estate appraisers whose job is to establish a property's market value before the bank offers a mortgage to a prospective buyer. It is imperative that each appraiser values a property with no blas. Suppose First National Bank wishes to check the consistency of the recent values that its appraisers have established. The bank asked the three appraisers to value (in $1,000s) three different types of homes: a cape, a colonial, and a ranch. The accompanying table shows the results. Assume that values are normally distributed. (You may find it useful to reference the g table.) Appraiser 1 Appraiser 2 Appraiser 3 434 539 379 Cape colonial 420 414 530 393 547 Ranch 398 picture Click here for the Excel Data File a-1. Construct an ANOVA table. (Leave no cells blank. Round "SS" and "MS" to 2 decimal places, and "P and "p-value" to 3 decimal places.) ANOVA Source of Variation SS df MS pvalue Rows Columns Error Total 0.00 a-2. At the 5% significance level, can you conclude that the average values differ by appraiser? a-2. At the 5% significance level, can you conclude that the average values differ by appraiser? O No. since the p-value associated with appraiser is less than significance level. O Yes since the p-value associated with appraiser is greater than significance level. O Yes. since the p-value associated with appraiser is less than significance level. O No . since the p-value associated with appraiser is greater than significance level. a-3. Should the bank be concerned with appraiser inconsistencies? O Yes O No b. At the 5% significance level, can you conclude that the average values differ by house type? O Yes. since the p-value associated with house type is less than significance level. O No. since the p-value associated with house type is greater than significance level. O No. since the p-value associated with house type is less than significance level. O Yes. since the p-value associated with house type is greater than significance level.
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