Dr. Guidry conducts a study examining the relationship between the number of friends one has and the experience of daily stress and life satisfaction. She randomly samples 1,500 elderly men and women in Nashville, Tennessee (the state capital), located in the southern United States. Below are her findings. • Life satisfaction and experience of daily stress: r = .57 (p = .01) • Number of friends one has and experience of daily stress: r = .09, not sig. • Number of friends one has and life satisfaction: r = .36 (p = .04) Which of the following conclusions can Dr. Guidry draw about the number of friends one has and life satisfaction based on her statistical analyses? a. The probability of her sample coming from a zero association population is about 4%. (correct answer) b. The probability of her sample coming from a zero association population is about 96%. c. The relationship is not statistically significant. d. The strong correlation means that the number of friends one has causes an increase in life satisfaction.
Dr. Guidry conducts a study examining the relationship between the number of friends one has and the experience of daily stress and life satisfaction. She randomly samples 1,500 elderly men and women in Nashville, Tennessee (the state capital), located in the southern United States. Below are her findings.
• Life satisfaction and experience of daily stress: r = .57 (p = .01)
• Number of friends one has and experience of daily stress: r = .09, not sig.
• Number of friends one has and life satisfaction: r = .36 (p = .04)
Which of the following conclusions can Dr. Guidry draw about the number of friends one has and life satisfaction based on her statistical analyses?
a. The
b. The probability of her sample coming from a zero association population is about 96%.
c. The relationship is not statistically significant.
d. The strong
A is the answer but why? what is zero association? isn't r=0.36 medium effect size? why others are wrong?
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