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Does the overall association indicate agreement or disagreement between the mean subjective BRFSS score and the ranking based on objective data used in the compensating-differentials method? Are there any outliers? If so, what are the BRFSS scores corresponding to these outliers?

Does the overall association indicate agreement or disagreement between the mean subjective BRFSS score and the ranking based on objective data used in the compensating-differentials method? Are there any outliers? If so, what are the BRFSS scores corresponding to these outliers?

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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See the attached two images for the description and than answer the following questions:

Is there an overall positive association or an overall negative association between mean BRFSS score and rank based on the compensating-differentials method?

Does the overall association indicate agreement or disagreement between the mean subjective BRFSS score and the ranking based on objective data used in the compensating-differentials method?

Are there any outliers? If so, what are the BRFSS scores corresponding to these outliers?

 

satisfaction question found on the Behavioral Risk Factor Surveillance System (BRFSS), which is a state-based system of health surveys. Lower scores indicate a greater degree of happiness. To objectively assess happiness, the investigators computed a mean well-being score (called the compensating-differentials score) for each state, based on objective measures that have been found to be related to happiness or well-being. The states were then ranked according to this score (Rank 1 being the happiest). Figure 4.10 is a scatterplot of mean BRFSS scores (response) against the rank based on the compensating differentials State mean BRFSS score Moore/Notz, The Basic Practice of Statistics, 9e, © 2021 W. H. Freeman and Company 0.050 0.025 0.000 -0.025 -0.050 -0.075 -0.100 O 10 20 30 40 50 Rank based on the compensating-differentials method FIGURE 4.10 Scatterplot of mean BRFSS score in each state against each state's well-being rank, for Exercise 4.26. 2 Is there an overall positive association
Transcribed Image Text:satisfaction question found on the Behavioral Risk Factor Surveillance System (BRFSS), which is a state-based system of health surveys. Lower scores indicate a greater degree of happiness. To objectively assess happiness, the investigators computed a mean well-being score (called the compensating-differentials score) for each state, based on objective measures that have been found to be related to happiness or well-being. The states were then ranked according to this score (Rank 1 being the happiest). Figure 4.10 is a scatterplot of mean BRFSS scores (response) against the rank based on the compensating differentials State mean BRFSS score Moore/Notz, The Basic Practice of Statistics, 9e, © 2021 W. H. Freeman and Company 0.050 0.025 0.000 -0.025 -0.050 -0.075 -0.100 O 10 20 30 40 50 Rank based on the compensating-differentials method FIGURE 4.10 Scatterplot of mean BRFSS score in each state against each state's well-being rank, for Exercise 4.26. 2 Is there an overall positive association
4.26 Happy States. Human happiness or well-being can be assessed either subjectively or objectively. Subjective assessment can be accomplished by listening to what people say. Objective assessment can be made from data related to well-being such as income, climate, availability of entertainment, housing prices, lack of traffic congestion, and so on. Do subjective and objective assessments agree? To study this, investigators made both subjective and objective assessments of happiness for each of the 50 states. The subjective measurement was the mean score on a life-
Transcribed Image Text:4.26 Happy States. Human happiness or well-being can be assessed either subjectively or objectively. Subjective assessment can be accomplished by listening to what people say. Objective assessment can be made from data related to well-being such as income, climate, availability of entertainment, housing prices, lack of traffic congestion, and so on. Do subjective and objective assessments agree? To study this, investigators made both subjective and objective assessments of happiness for each of the 50 states. The subjective measurement was the mean score on a life-
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