Report Properties
Created: Nov 26, 2017
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Project 1 part 3
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The significance level I chose is .05.

Variable: Average debt per graduate

My sample size is 30 because it is large enough to create a normal distribution.

I am 95% confident that the mean falls between -0.985<p<1.016

The attached result is not available.

As you can see from the graph the mean is at .02 which falls between the confidence interval, however the graph does not follow a normal distibution and is right skewed.

The attached result is not available.

Variable: Percent of graduates with debt

Sample size is 30

The confidence interval for a .05 signifance level is .03506<p<.04361

Therefore I am 95% confident that the mean will fall between these values.

The attached result is not available.

The mean of the graph the mean is at 0.04 which falls between the confidence interval.

The attached result is not available.

When the variable percentage of students with debt follows a normal distribution, with a mean of .04 and a standard deviation of 0.031, the probability of choosing a sample of this size with a mean of .04 is .49 or 49%.

The attached result is not available.

HTML link:
<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=74109">Project 1 part 3</A>

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 By xg15Nov 27, 2017 Need one more quantitative variable to analyze. proportion is for qualitative variable while mean is for quantitative variable.

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