Analysis of U.S. Export Volume Data: Statistical Distribution and Outlier Identification

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Analysis of U.S. Export Volume Data: Statistical Distribution and OutlierIdentificationYou are provided with data on the volume of exports from the United States for the year 2013 tovarious countries. Based on this data, conduct astatistical analysis of the export volumes.In your analysis, address the following:1.Defineandexplainthetypesofdata(qualitativeandquantitative)andscalesofmeasurement used in the dataset.2.Provide a detailed explanation of how to calculate the frequency distribution, classinterval, relative frequency, and cumulative frequency for this data.3.Present the histogram for the export volume data and interpret the distribution.4.Calculate and explain the following numerical measures:oMean, median, mode, range, standard deviation, and skewness.oDiscuss the implications of these measures in the context of the dataset.5.Analyze the box plot and identify the presence of any outliers.6.Conclude with a summary of the findings, discussing the significance of the U.S. exportvolumes to different countries, highlighting any patterns or trends observed.Word Count Requirement: 1200-1500 words.

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IntroductionI am provided with volume of exportsfrom United Statesfor the year 2013 for various partners(other countries).DataThere are two general types of data, qualitative and quantitative data.Categoricalvariables come under the category of Qualitative data. While data which can be measured onnumeric scale that is they are represented as numbers comes under the category of quantitativedata.Here, the data isQuantitative as it deals with numbers which can be measured.Ratio scales are similar to interval scales in that equal differences between scale valueshave equal quantitativemeaning. But ratio scales also have a true zero point. Here the data ismeasured on ratio scale of measurement.A population consists of everything being studied to draw useful inferences. Populationsare generally large in size. A random sample based on which one draws inferences is taken froma population. A sample is a group of units selected (generally randomly) from population ofinterest so as to draw valid conclusions about population. The sample is a representative of thepopulation.

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