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Concept explainers
a.
Check whether the relationship between variables is mostly positive or mostly negative. Also, explain what does it mean for the two variables.
b.
Explain the happiness and ecological footprint of a country in the bottom left of the graph.
c.
Identify State C on the graph and find its ecological footprint score.
d.
Check whether a larger ecological footprint is associated with more happiness for ecological footprints between 0 and 6 and for ecological footprints between 6 and 10 and discuss the result in context.
e.
Identify which attributes fix a country in the upper left of the graph.
f.
Discuss about one observation of an association between regions.
g.
Explain how the efforts are directed for countries in the bottom left if the goal is to move all countries to the top left. Also, explain how the efforts are directed for countries in the top right.
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Chapter 2 Solutions
Statistics, Binder Ready Version: Unlocking the Power of Data
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- According to an economist from a financial company, the average expenditures on "furniture and household appliances" have been lower for households in the Montreal area than those in the Quebec region. A random sample of 14 households from the Montreal region and 16 households from the Quebec region was taken, providing the following data regarding expenditures in this economic sector. It is assumed that the data from each population are distributed normally. We are interested in knowing if the variances of the populations are equal. a) Perform the appropriate hypothesis test on two variances at a significance level of 1%. Include the following information: i. Hypothesis / Identification of populations ii. Critical F-value(s) iii. Decision rule iv. F-ratio value v. Decision and conclusion b) Based on the results obtained in a), is the hypothesis of equal variances for this socio-economic characteristic measured in these two populations upheld? c) Based on the results obtained in a),…arrow_forwardA major company in the Montreal area, offering a range of engineering services from project preparation to construction execution, and industrial project management, wants to ensure that the individuals who are responsible for project cost estimation and bid preparation demonstrate a certain uniformity in their estimates. The head of civil engineering and municipal services decided to structure an experimental plan to detect if there could be significant differences in project evaluation. Seven projects were selected, each of which had to be evaluated by each of the two estimators, with the order of the projects submitted being random. The obtained estimates are presented in the table below. a) Complete the table above by calculating: i. The differences (A-B) ii. The sum of the differences iii. The mean of the differences iv. The standard deviation of the differences b) What is the value of the t-statistic? c) What is the critical t-value for this test at a significance level of 1%?…arrow_forwardCompute the relative risk of falling for the two groups (did not stop walking vs. did stop). State/interpret your result verbally.arrow_forward
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