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Submitted By tlas23

Words 478

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Words 478

Pages 2

I would like to know if people who enjoy thrill seeking have tattoos. I believe thrill seeking and tattoos go hand in hand. Most people I know are adventurous, risk takers, and daredevils and all of them have tattoos. I have a strong feeling that the correlation between the two will have a strong positive relationship.

X= Tattoos

Y= Thrill Seeking

The scatter plot shows an extremely rough linear pattern but there is an upward sloping.

Line of best fit: y = 0.9148x +25.505

Analysis:

1. r = .14 little or no correlation

2. R^2 = 2%

2% of the variance in thrill seeking is accounted by tattoos.

3. Slope = 0.0196(m)

For every 1 tattoo people have there is an increase we expected of 0.9148 in thrill seeking.

Conclusion: Between these two variables, there are no correlations between the two. It was shocking to see there is no relationship between the two. I truly believed people who are thrill seekers have tattoo.

T-Test

Independent 2 Sample

My gym teacher believes that males are stronger than females and that is why males have more tattoos. The scale is determine by the number of tattoos both males and females have. Eighty-four males and one hundred and eleven females responded. The males average 39 (s.d. 1.42) while the females average 38 (s.d. 0.98). At the .10 significance level, test to see if there is a difference between males having more tattoos than females?

Ho: Null Hypothesis Males equal Females

Ha: Null Hypothesis Males have more tattoos than Females

Alpha = .10

Standard Data Table

Males Females

X 39 38

S 1.42 0.98

N 84 111

Run Test

T= 5.59

P= .992 > .10 Fail to reject the null

Verification: n= 195 > 40 OK to proceed

Reason: Robustness of...

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