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Colorado State University Confidence Intervals in Nonparametric Regression Paper

Colorado State University Confidence Intervals in Nonparametric Regression Paper

I don’t know how to handle this Statistics question and need guidance.

Read Example 1 and explain what your take away is. Add any information you can. Your document should be around 150-200 words.

Example 1:

We want to determine if a 12oz can of soda falls within the confidence interval of a data set. First, we would weigh out 50 cans of soda and enter them individually to get 50 observations for the data set. (I used a random number generator for this test.) Next we calculate the mean and the standard deviation for the data set. In this example the mean is 12.24 with a standard deviation of .86. Now we can calculate the confidence interval. For an 80% confidence interval I received an upper interval (UI) of 12.39 and a lower interval (LI) of 12.08. At 95%, the UI was 12.48 and the LI was 11.99. At 99%, the UI was 12.56 and the LI was 11.91. These results determine that the true weight of a can of soda does not lie within the confidence interval of 80% but will be found at 95% and 99% because the range of the results are wider.

80% 95% 99%
Mean 12.24 Mean 12.24 Mean 12.24
Standard Error 0.12 Standard Error 0.12 Standard Error 0.12
Median 12.25 Median 12.25 Median 12.25
Mode 12.90 Mode 12.90 Mode 12.90
Standard Deviation 0.86 Standard Deviation 0.86 Standard Deviation 0.86
Sample Variance 0.73 Sample Variance 0.73 Sample Variance 0.73
Kurtosis -1.04 Kurtosis -1.04 Kurtosis -1.04
Skewness -0.31 Skewness -0.31 Skewness -0.31
Range 3.00 Range 3.00 Range 3.00
Minimum 10.50 Minimum 10.50 Minimum 10.50
Maximum 13.50 Maximum 13.50 Maximum 13.50
Sum 611.80 Sum 611.80 Sum 611.80
Count 50.00 Count 50.00 Count 50.00
Confidence Level(80.0%) 0.16 Confidence Level(95.0%) 0.24 Confidence Level(99.0%) 0.32
Upper CI 12.39 Upper CI 12.48 Upper CI 12.56
Lower CI 12.08 Lower CI 11.99 Lower CI 11.91

Stephanie, B. (2020, January 30) Simple Definition. Statistics How To. https://www.statisticshowto.com/empirical-rule-2

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