Standard Error 0.097501055

Median 4.2

Mode 4.8

Standard Deviation 0.682507382

Sample Variance 0.465816327

Kurtosis 5.335286065

Skewness -1.916441174

Range 3.5

Minimum 1.5

Maximum 5

Sum 206

Count 49

Confidence Level(95.0%) 0.196039006

In both the Charismatic and the punitive condition data sets there were 49 people surveyed. We know this because we were able to use descriptive statistics to show the count and that shows the number of people surveyed. The average or the mean of the charismatic condition is 4.20. The standard error is saying that 0.0975 % is the error that will normally occur if two different people are comparing results. The middle value or the median of the data

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This bar graph will show you the values of the scores starting at 1.5 and going up to 5. The frequency shows us the number of students who picked the

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The F critical value came out to be 3.940163.

SUMMARY OUTPUT Regression Statistics

Multiple R 0.469240951

R Square 0.22018707

Adjusted R Square 0.203595306

Standard Error 0.609079887

Observations 49 ANOVA df SS MS F Significance F

Regression 1 4.923203145 4.923203145 13.27086523 0.00067102

Residual 47 17.43598053 0.370978309

Total 48 22.35918367 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%

Intercept 3.191128371 0.291356828 10.95264658 1.56617E-14 2.604994045 3.777262697 2.604994045 3.777262697

Punitive Condition 0.360717368 0.099018749 3.642919877 0.00067102 0.161517343 0.559917393 0.161517343 0.559917393

After taking the data of the 49 students I was able to come up with a regression analysis. The multiple R value came out to be 0.469240951 and the R square value is 0.22018707. The adjusted R squared value was figured to be 0.203595306. The obvious standard error was