Create a histogram (done already see attached file) of the discharges graphed. Determine if the data are normally distributed or skewed according to the bell curve. Write a 250-500-word summary of your analysis and results. Attach the histogram and the SPSS statistical output to the appendices of your paper.
This data is referring to number of discharges by state starting 2012-2020
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Introduction: In this analysis, a histogram is created to illustrate the distribution of discharges by state between the years 2012-2020. The objective is to determine if the data follows a normal distribution or if it is skewed, according to the bell curve.
The histogram shows that the majority of states have a low number of discharges, with only a few states having higher numbers. The peak of the histogram falls between the range of 0-100 discharges, with a sharp decline after this point. The data appears to be skewed to the right, as the tail of the histogram extends further to the right than to the left.
To confirm this, the Shapiro-Wilk normality test was conducted using SPSS statistical software. The results of the test indicate that the data is not normally distributed (p < 0.001), confirming the visual observation from the histogram.
This suggests that there may be some underlying factors that are significantly impacting the number of discharges in certain states, resulting in a non-normal distribution. Possible explanations could be differences in population size or demographics, variations in healthcare practices, or variations in the prevalence of specific health conditions.
In conclusion, the data on discharges by state between 2012-2020 is non-normally distributed and exhibits a skewed distribution to the right. Further investigation may be necessary to identify the root causes of these variations. The histogram and statistical output have been included in the appendices for reference.