Three variables are studied in this study: time in minutes, page viewed, and Amount Spent. This is probably the overall statistics of a page limitation. Moving on towards the statistics, the specific trends are highlighted in terms of descriptive statistics of the data’s overall 50 observations.
It can be seen that the overall 12.81 minutes per visitor, so it can be denoted that the user, on average, spends 12.81 minutes on the website. The median and mode, too, are depicting and central tendency of data. Therefore, both the median and the mode are less than the mean; this happens due to extreme data values present in the dataset abundantly. The Standard Deviation is also high; in fact, it is more than 50% of the median and mode, indicating the capacity of deviation of the time a user takes to visit the website. Variance, too, behaves similarly, and thus it would have a high range. Since the skewness is more significant than one, it can be seen that the data set is positively skewed, or more values lie on the side that is less than the mean. If all the visitors are taken into account, it can be seen that the overall results forecast a total time of 640.5 minutes spent on the website from these 50 instances.
In terms of page views, the mode is the least, and the mean is the greatest, indicating extreme values. The standard deviation is large; here, the skewness is positive, but its positivity is less than one, indicating it to be positively skewed.
Moving on, it can be seen that the total amount spent on the website is 3404.41 dollars, and since there is no mode, it can be said that each of the 50 clients purchased a different value. Skewness is again enormous, and the dataset is positively skewed here as well. The standard deviation is small, and the potential reason for this is the difference between the median and mean.