Question

Useful Formulae: Q1-1.5(IQR) Q3+1.5(IQR) sample statistic ± 2SE $z = \frac{x - \mu}{\sigma}$ or $z = \frac{x - \bar{x}}{s}$ Match each p-value to the most appropriate conclusion. Label the significance levels. Use the significance level line to support answers. (7pts) A 0.0003 B 0.0856 C 0.7182 D 0.0262 1. "The evidence against the null and in favor of the alternative is very strong." 2. "The result is significant at the 5% level but not at a 1% level." 3. "There is really no evidence supporting the alternative hypothesis." 4. "The evidence against the null is significant, but only at the 10% level." Significance Levels $\alpha = .01$ $\alpha = .05$ $\alpha = .10$ Wording for evidence against the null 1. 2. 3. 2. Across nine European countries in a large-scale survey, people had a hard time identifying signs of a stroke or heart attack. The survey$^{31}$ included 10,228 inhabitants of Austria, France, Germany, Italy, the Netherlands, Poland, Russia, Spain, and the United Kingdom. Participants ages ranged from 14 to 98. Of those surveyed, less than half (4910) linked arm or shoulder pain to heart attacks. Use StatKey and the prebuilt data set Knowheartattacksymptom to find and interpret a 98% confidence interval for the proportion of Europeans (from these nine countries) who can identify arm or shoulder pain as a symptom of a heart attack. Can we be 98% confident that the proportion is less than half? (5pts)

          Useful Formulae:
Q1-1.5(IQR)
Q3+1.5(IQR)
sample statistic ± 2SE
$z = \frac{x - \mu}{\sigma}$ or $z = \frac{x - \bar{x}}{s}$
Match each p-value to the most appropriate conclusion. Label the significance levels.
Use the significance level line to support answers. (7pts)
A 0.0003 B 0.0856 C 0.7182 D 0.0262
1. ______ "The evidence against the null and in favor of the alternative is very strong."
2. ______ "The result is significant at the 5% level but not at a 1% level."
3. ______ "There is really no evidence supporting the alternative hypothesis."
4. ______ "The evidence against the null is significant, but only at the 10% level."
Significance Levels
$\alpha = .01$
$\alpha = .05$
$\alpha = .10$
Wording for
evidence against
the null
1.
2.
3.
2. Across nine European countries in a large-scale survey, people had a hard time identifying signs of a
stroke or heart attack. The survey$^{31}$ included 10,228 inhabitants of Austria, France, Germany, Italy, the
Netherlands, Poland, Russia, Spain, and the United Kingdom. Participants ages ranged from 14 to 98. Of
those surveyed, less than half (4910) linked arm or shoulder pain to heart attacks. Use StatKey and the
prebuilt data set Knowheartattacksymptom to find and interpret a 98% confidence interval for the
proportion of Europeans (from these nine countries) who can identify arm or shoulder pain as a
symptom of a heart attack. Can we be 98% confident that the proportion is less than half? (5pts)

Useful Formulae:
Q1-1.5(IQR)
Q3+1.5(IQR)
sample statistic ± 2SE
z = (x - μ)/(σ) or z = (x - x̅)/(s)
Match each p-value to the most appropriate conclusion. Label the significance levels.
Use the significance level line to support answers. (7pts)
A 0.0003 B 0.0856 C 0.7182 D 0.0262
1. "The evidence against the null and in favor of the alternative is very strong."
2. "The result is significant at the 5% level but not at a 1% level."
3. "There is really no evidence supporting the alternative hypothesis."
4. "The evidence against the null is significant, but only at the 10% level."
Significance Levels
α = .01
α = .05
α = .10
Wording for
evidence against
the null
1.
2.
3.
2. Across nine European countries in a large-scale survey, people had a hard time identifying signs of a
stroke or heart attack. The survey^31 included 10,228 inhabitants of Austria, France, Germany, Italy, the
Netherlands, Poland, Russia, Spain, and the United Kingdom. Participants ages ranged from 14 to 98. Of
those surveyed, less than half (4910) linked arm or shoulder pain to heart attacks. Use StatKey and the
prebuilt data set Knowheartattacksymptom to find and interpret a 98% confidence interval for the
proportion of Europeans (from these nine countries) who can identify arm or shoulder pain as a
symptom of a heart attack. Can we be 98% confident that the proportion is less than half? (5pts)

Added by Jordan S.

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