1.
Which type of graph is appropriate to display a distribution of numbers? Explain.
2.
If the graph skews, what does that mean to the researcher?
3.
As an analyst, how will you use graphs in your work with clients?
There are various types of graphs that can effectively illustrate the distribution of numbers, depends on the nature of the data. Examples include histograms, box plots, and density plots. Personally, I often rely on histograms for displaying the frequency distribution of continuous data. Histograms use bars to represent the frequency of data within predefined intervals or bins, offering a visual representation of the distribution's shape, center, and spread. This type of graph is not only easy to understand and explain but also excels in showcasing the distribution of numbers.
According to Albright& Winston, graph skewness is when one tail of a distribution is longer than
the other, which means that the distribution is not symmetrical. Positive skewness implies a distribution that skews to the right, while negative skewness suggests skewing to the left.
In my role as a sales analyst, working with sales to provide analyzed sales data is a common task. Graphs serve as powerful tools for conveying insights and patterns within the data. I leverage graphs to identify trends, compare data, and communicate key insights. Firstly, graphs enable easy comparison of different datasets or segments, aiding in understanding trends and informing decision-making. Secondly, time series graphs are valuable for analyzing trends over time, helping sales comprehend historical performance and make future predictions. Thirdly, visualizations serve as potent communication tools, making it simpler for stakeholders to understand complex information and make data-driven decisions. Effectively using graphs in my
role as an analyst enhances communication, supports decision-making, and provides valuable insights to the individuals I collaborate with.
Reference
Albright S. C., & Winston W. L. (2019). Business Analytics: Data Analysis & Decision Making (7th ed.). Cengage.
