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These results were generate by Normal distribution on September 22, 2023 at 12:57 PM (UTC).

Results

Data set overview

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https://www.ai-therapy.com/psychology-statistics/results/20230922125721837
Data set nameCode Quality - ChatGPT
Data set notesJava
Sample sizeN = 600
Distribution parametersThe mean = 0.657 and standard deviation = 0.963.

Normality tests

Appears normal
SkewnessPopulation skewness (unbiased) = 1.442, with a standard error of 0.100.
The (asymptotic) z-value is 11.074 and p-value < 0.001. Therefore, this distribution does not have similar skew as a normal distribution.
KurtosisPopulation excess kurtosis (unbiased) = 1.263, with a standard error of 0.199.
The (asymptotic) z-value is 4.206 and p-value < 0.001. Therefore, this distribution does not have similar kurtosis as a normal distribution.
Kolmogorov-SmirnovThe two-sided Kolmogorov-Smirnov statistic (the maximum absolute difference) D(600) = 0.351, Lilliefors p-value < 0.001. Since the p-value is less than 0.05, the data does not appear to be normally distributed.
Shapiro–WilkThe Shapiro–Wilk test statistic W = 0.705, p-value < 0.001. Since the p-value is less than 0.05, the data does not appear to be normally distributed.

Histogram


The above graph shows both a histogram of the data and the most likely normal distribution for the data. If histogram and normal distribution have a similar shape, it is likely that the underlying population is approximately normal.

Q-Q Plot


In the graph above, the red points represent the numbers in your data set. If these points are located relatively close to the black line, your data is approximately normally distributed.