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Data: ave.male ave.female 3.1 5.5 2.3 4.4 3.5 5.8 3.3 5.2 3 4.9 3 5 2.3 4.1 3.4 5.2 3.2 4.9 4.8 6.4 2.8 4.4

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ave.male ave.female 3.1 5.5 2.3 4.4 3.5 5.8 3.3 5.2 3 4.9 3 5 2.3 4.1 3.4 5.2 3.2 4.9 4.8 6.4 2.8 4.4 3.6 5.2 3.4 5 3.1 5 3.6 4.8 4.6 6 3.6 5 3.5 4.8 3.8 5 4 5.2 3.9 5.2 3.6 5 3 4 3.3 4.5 3.6 4.8 2.9 4.3 4.3 5 2.8 3.8 3.2 4.2 3.8 4.9 3.4 4.4 4.2 5 3.6 4 3.8 4.6 4.8 5.6 4.3 5.4 4.3 5.2 3.8 4.6 3.3 4 4.4 5.2 5 5.8 4.6 5.6 2.8 3.6 3.2 4 3.6 4.4 4 4.7 3.6 4.4 3.8 4.4 3.5 4.2 3.9 4.6 4.6 5.2 4 4.6 4.4 5 5.4 5.9 3 3.4 4.5 4.9 4.4 4.9 3.4 3.9 3.8 4.3 5.5 6 4 4.4 5 5.4 4 4.4 3.8 4.2 3.8 4.2 4 4.4 4 4.4 3.2 3.6 4.4 4.8 3.7 3.8 4.6 5 4.9 5.1 4.6 4.9 2.9 3.1 4.6 5 3.9 4.3 3.3 3.6 4 4.4 5.2 5.6 5.6 6 3.9 4.1 5.7 6 3 3.4 4.4 4.7 4 4.1 3.8 4 4.3 4.4 3.8 4 4.6 4.8 4 4.2 4.8 5.1 3.8 4 2.6 2.9 3.2 3.4 4.3 4.6 3.8 3.9 4.9 5 4 4.2 4.1 4.1 3.4 3.6 3 2.9 5.2 5.4 5.2 5.2 3.7 3.8 4.6 4.6 1.4 1.5 4 4.1 4 4.1 6 6 3 3.1 3.7 3.6 4.6 4.5 4.3 4.4 6 6 4 4 3.2 3.2 4.7 4.7 6 6 5.1 5.2 4 4 5.5 5.5 5 5 4 4 4.6 4.5 6 6.2 4 4 5 5 5 5 3.5 3.5 3 3 4 4 5 5 4.2 4 4.4 4.4 6 6 6 6 4 4 4 4 3.4 3.4 4 4 5.8 5.8 4 3.8 4 3.9 4.5 4.5 5 5 4 4 4 4 3.8 3.8 4.6 4.7 4 4 3.5 3.4 4 4 4 4 5 5 4 4 4.4 4.3 6 6 4 4 4.4 4.6 5 5 3.6 3.6 4.5 4.6 4.1 4.4 6 6 4 4 4 4 4 4 4 4 5 5 4 4 4 4 6.8 6.9 5 5 4.4 4.4 4.2 4.1 5.1 5 6.1 6 5 4.9 3.8 3.8 4.8 4.6 2.8 2.4 4.8 4.6 5.4 5.4 4.2 4.1 4 3.9 3.9 3.8 4 3.8 6.5 6.6 3.5 3.3 3.9 3.7 4 3.8 3.7 3.4 4 3.8 4.3 4.1 5.3 5.1 3.8 3.6 4 3.8 3.9 3.5 4.8 4.6 4.2 4 5.4 5.2 4.4 4.2 4.2 4.1 5 4.7 3.8 3.6 5.1 5 5.6 5.4 4 3.8 4.7 4.2 3.3 3 4.5 4.2 6.5 6.1 4.5 4.2 5 4.7 4.3 3.9 5.5 5.2 4.7 4.4 4.6 4.5 4.1 3.8 4.4 4 4.4 4.1 5.8 5.4 3.8 3.4 4.9 4.2 4.1 3.7 4 3.5 4.2 3.8 5 4.6 4.1 3.5 4.3 4 4.2 3.7 5 4.6 3.8 3.4 5.4 4.9 3.8 3.4 4 3.5 5.9 5.4 4.1 3.6 4.1 3.7 4.6 4 4.6 4 4 3.4 5.5 4.9 4.4 3.8 5 4.2 4 3 3.4 2.5 4.7 4 4.2 3.4 4.1 3.6 4.4 4.1 5.2 4.6 5.7 4.8 4.4 3.6 5 4.5 4.4 3.5 4.7 4 5.2 4.3 4.6 3.8 6.3 5.5 3.2 2.4 3.6 3 4 3.7 4.6 3.9 4.2 3.4 4.2 3.5 4.2 3.4 4.8 4 4.8 4.1 5 4.1 4.8 4.1 5.2 4.4 4.4 3.5 4.4 3.6 4.4 3.8 4.1 3 3.8 2.8 5 3.7 4.4 3.2 4.9 3.9 6.2 5.2 4.4 3.4 4.5 3.6 4.4 3.3 4 2.9 4.7 3.7 3.9 2.8 5.9 4.7 4.9 3.7 5.2 4.4 6 4.8 4.6 3.4 5.4 4.2 4.4 3.2 4.3 3.2 5.5 4.3 3.2 1.8 4.7 3.4 4.2 3 4.6 3.2 4.8 3.4 4.8 3.6 5 3.6 6 4.6 5.2 3.8 4.3 2.8 4.7 2.9 5.6 4.2 5.1 3.6 5.2 3.6 5.1 3.7 5.4 3.8 5.6 4 4.5 3 4.2 2.7 5 3.3 6.1 4.6 4.6 3.3 4.4 2.8 6 4.4 5.3 3.6 3.4 1.8 4.8 3.1 4.9 3.3 4.8 3.4 4.5 2.9 5.5 3.7 4.8 3 5 3.2 3.6 1.8 4.4 2.5 5 3.1 4.3 2.4 5 3 4.1 2.1 4.2 2 5.2 3 5.7 3.3 5.2 2.9 4.6 2.2 5.1 2.5 5.6 3 5.6 3 5.6 2.8 5.2 2.4 5.7 3.2 

Question:

A study done by Jung et al. (2014) looked at hurricane names and the perceived threat. The researchers thought that hurricanes in the United States with male names would differ in perceived danger from hurricanes with female names. In one part of the research 346 subjects were shown five male names (Arthur, Cristobal, Omar, Kyle, Marco) and five female names (Bertha, Dolly, Fay, Laura, Hanna) from the official 2014 Atlantic Hurricane names and were asked to predict each hurricane's intensity (1 = not intense at all, 7 = very intense). The data are available in the fileHurricane. Is there a difference in how people would rate the intensity of the same hurricanes based on a male or female name?

a.Put the data into theMatched Pairsapplet to find the sample mean, sample standard deviation, and sample size of the differences in ratings. Report answers as shown in the applet (no rounding).

xd=

sd=

nd=

B.)

Use theTheory-Based Inferenceapplet to find a 95% confidence interval for the long-run mean difference. Report answers as shown in the applet (no rounding).

95% confidence interval:(blank) to (blank)

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