Distribution Analysis for Journal Dataset

The assignment is about analyzing two variables DP05 (days with precipitation more than 0.5 inches) and EMXP (extreme maximum precipitation) from the Journal Dataset. The student draws histograms for both variables, observes that they have a right-skewed distribution with outliers, and discusses whether their results would be valid if an analysis requires normal distributions.

The teacher sent us a message on our email saying that we have to do this one not the one with
the one we did earlier for MATH240 Using the Journal Dataset, consider the variable DP05
(days with precipitation that is more than 05 tenths of an inch). This is the number of days in
each month that had 0.5 inches or more of precipitation. For example, a value of 3 in DP05
means that during three days of that month, it rained or snowed (equivalent) more than half an
inch. Draw a histogram of DP05. Does DP05 have an approximately normal distribution? Does it
have an obvious skew (left or right) and any obvious outliers? If an analysis requires that DP05
have a normal distribution, do you think that your results will be valid? Now consider the
variable EMXP (extreme maximum precipitation). That is the extreme precipitation in each
month, in tenths of a millimeter. For example, a value of 300 in EMXP means that it rained 30
millimeters on the rainiest day of that month. Draw a histogram of EMXP. Does EMXP have an
approximately normal distribution? Does it have an obvious skew (left or right) and any obvious
outliers? If an analysis requires that EMXP have a normal distribution, do you think that your
results will be valid? For additional details, please refer to the Module Two Journal Aid
Transcript document, Journal Rubric document, and Journal Data Set document in the
Assignment Guidelines and Rubrics section of the course
Solution
The variable taken into consideration DP05 is the number of days in each month that had 0.5
inches or more of precipitation. The histogram is given below

Here, we see that the distribution of DP05 has longer tail towards the right side of the normal
curve indicating that the distribution of DP05 is skewed right. Here, we see that there exist
outliers in the dataset. The sample numbers 102, 210, 278 and 336 are outliers
Histogram of EXMP
Here, we see that the distribution of EXMP has longer tail towards the right side of the normal
curve indicating that the distribution of EXMP is skewed right. Here, we see that there exist
outliers in the dataset. The sample numbers 32, 38, 94, 104, 200, 214, 250, 262, 295 and 296 are
outliers