represented an outlier in December of 2018. As with the highest daily the lowest daily stock price leveled off from September 2019 to November 2019. While it is important to view the daily high and low stock prices it is also important to view the adjusted daily closing price to understand the volatility of the perspective stock. The volatility of the adjusted daily closing price for Amazon is 7.2%. Interpreting the histograms helps portray that the mean was less than that of the median of the adjusted closing stock prices as well as the daily stock volume for Amazon. Trends in stocks can be driven by sales, upper management can view trends to aid in the determination of timing of the release of new products or services to best accommodate the value of the corporation’s stock. Visualizations aid in leaders getting the point of the presentation early and aids in the remembrance of pertinent information. Inferential statistical analysis does aid in making conclusions beyond the data, including using the graphs from the data to predict stock volumes and prices. “The definition of inference is the process of drawing conclusions about population parameters based on a sample taken from the population (Nic’s, 2015).” The data is much better understood by using the visualization of graphical representation. While presenting the data it is also important to use storytelling to influence and convey messages clearly to leaders (Watson, 2017).
Running Head: Applying Analytic Techniques to Business 10 References Amazon.com, Inc. (AMZN) Stock Historical Prices & Data. Retrieved from ? period1=1542218731&period2=1573754731&interval=1d&filter=history&frequency=1d Amazon.com, Inc. The Wall Street Journal retrieved from - people Amazon.com, Inc. Y charts retrieved from Dr. Nic's Maths and Stats. (2013). Understanding confidence intervals: Statistics help [Video]. | Transcript . Retrieved from Dr. Nic's Maths and Stats. (2015). Understanding statistical inference [Video] . | Transcript . Retrieved from Watson, H. J. (2017). Data visualization, data interpreters, and storytelling. Business Intelligence Journal , 22 (1), 5–10.
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