steps to making a histogram first make a table

I would conclude that Whole Foods experienced a “normal” growth rate, comparing to other companies in the industry. and Canada was 6.2%, the 8% of Whole Foods is not that high or unusual. It seems that although the average growth rate of Food and Staples Retailers in the U.S.

Using the histogram, we can see that a bit more than a quarter of the companies exhibited roughly similar growth, between 6% to 10%. Also, not a negligible part of the sample exhibited a growth rates of above 10%. We can see that very few companies exhibited a decline in revenues, and that the distribution of companies with growth rates between 0% to 10% is roughly the same. Since we want to focus on Whole Foods, let’s examine the U.S. and Canada market differs from the European market. The histograms show that the distribution of growth rates in the U.S. One of the best examples of the importance of creating a histogram, and not relying only on the average and median, is the following two distributions: The histogram will present not only those statistics, but the whole distribution of the data, which will improve our analysis and can reveal conclusions which the average and the median will not show. Since the histogram will show the distribution of the samples, we will use it when we want to understand if a specific sample or prediction (for example, current or forecasted gross profit margin) is common, or unusual.īasically, a histogram would be useful whenever we want to calculate an average or a median of a data set. What was the historic behavior of macro-economic indicators, stock returns and commodity prices?.How does the performance of the company, represented by financial ratios, compares to its peers?.How does current performance of the company, represented by financial ratios, compares to the past?.Histograms help us visualize the data and answer questions such as: Large sets of data can be overwhelming and confusing, so we must use statistical tools- tools that help collect, analyze, interpret and present data. This data helps us analyze the company or industry, understand its history and current status, and make forecasts of the future. This data includes, but is not limited to: Financial analysis and valuation includes dealing with large sets of numerical data.

Steps to making a histogram first make a table