Research 2 - Descriptive Analysis

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Liberty University *

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702

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Political Science

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Dec 6, 2023

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DESCRIPTIVE ANALYSIS Helms School of Government, Liberty University. PADM 702: Advanced Public Administration, Finance, and Budgeting Professor: Leona R. Monroe, Ph.D., CDFM, DFMC3. September 2023. Author Note I have no known conflict of interest to disclose. Correspondence concerning this article should be addressed to: Email: @libe r ty.edu DESCRIPTIVE ANALYSIS 1
To : Leona R. Monroe, Ph.D., CDFM, DFMC3. From : Subject : Descriptive Analysis. MEAN In mathematics and/ or statistics, the mean is the average of a set of values. To calculate the mean of a set of numbers, you add all the numbers in a data set and divide by the number of values in the set (Almond, 2023). For this analysis and with the help of Microsoft Excel, I individually computed (added) "State A" and "State B's" "total monthly income and sales taxes" from January 1982 through July 1990. I then divided each of those four categories of data by 102 (the total number of months taxes were generated for each four category). The following "Means" were obtained from the descriptive statistics I ran in Microsoft Excel:
STANDARD DEVIATION Standard deviation is a statistical measure of how spread out a set of values is in relation to the mean. It tells you how far each value is from the mean on average. A low standard deviation means the values are close to the mean, while a high standard deviation means the values are spread out (NLM, 2023). Because I analyzed these data collectively with the Data Analysis tool of Microsoft Excel, I was able to automatically generate the standard deviation for "State A" and "State B's" "total monthly income and sales taxes" from January 1982 through July 1990. This analysis shows that the standard deviation measured how less and more spread the monthly taxes are from the “Means.” The following "Standard Deviations" were obtained from the data I analyzed in Microsoft Excel:
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COEFFICIENT OF VARIATION The coefficient of variation (CV) is a statistical measure of the dispersion of data points around the mean. It is the ratio of the standard deviation to the mean. The CV is often expressed as a percentage (Insee, 2023). For this research, the coefficient of variation (CV) helped me analyze and compare the results obtained from STATE A and B's monthly income and sales tax collection from January 1982 through July 1990 . Since the data I analyzed came from two different data sets, State A and State B (with different means), I could only compare the data using the Coefficient of Variation. To compute the Coefficient of Variation, I divided all the "Standard Deviations" I had early obtained by their corresponding "Mean" (standard deviation/ mean). Calculations for State A’s Income and Sales tax: 1. CV for “State A’s” income tax = SD of “State A’s” income tax SD X 100 Mean of “State’s A” income tax = $18,606,658 X 100 $42,178,465 CV = 44.11% or 0.4411 2. CV for “State A’s” sales tax = SD of “State A’s” sales tax SD X 100 Mean of “State’s A” sales tax
= $9,978,764 X 100 $33,385,142 CV = 29.89% or 0.2989 Calculations for State B’s Income and Sales tax: 1. CV for “State B’s” income tax = SD of “State B’s” income tax SD X 100 Mean of “State’s B” income tax = $28,504,360 X 100 $84,459,073 CV = 33.75% or 0.3375 2. CV for “State B’s” sales tax = SD of “State B’s” sales tax SD X 100 Mean of “State’s B” sales tax = $13,667,029 X 100 $66,281,496 CV = 20.62% or 0.2062
TABLE 1: DESCRIPTIVE STATISTICS FOR MONTHLY TAX COLLECTION FOR STATE A TABLE 2: DESCRIPTIVE STATISTICS FOR MONTHLY TAX COLLECTION FOR “STATE B”
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TABLE 3: MEAN AND STANDARD DEVIATION AND COMPARISON BETWEEN "STATE A" AND "STATE B" INTERPRETING THE COEFFICIENT OF VARIATION If a Coefficient of Variation equals one or 100%, it simply means that the standard deviation equals the mean. Values less than one indicate that the standard deviation is smaller than the mean (typical), while values greater than one occur when the standard deviation is greater than the mean (Frost, 2023). Coefficient of Variations of 5% or less are generally considered good. The Coefficient of Variations of 10% and higher is considered bad (Madelon, 1999). In conclusion, the data and/ or analysis above shows the following: 1. Which set of data shows the highest variation? The data and/ or analysis above shows that “State A” Total Income Taxes has the highest variation because its coefficient of variation is 44.11% or 0.4411 2. Which set of data shows the lowest variation? The data and/ or analysis above shows that “State B” Total Sales Taxes has the lowest variation because its coefficient of variation is 20.62% or 0.2062
3. Which state shows the highest and lowest variations in total income and total sales tax collections? The data and/ or analysis above shows that “State A” has a higher variation for its total income and sales taxes while “State B” has a lower variation for its total income and sales taxes. 4. Which state’s tax collections are more consistent and fluctuate the least? The data and/ or analysis above shows that “State B” tax collections are more consistent and fluctuate the least because the general rule of thumb for Coefficient of Variation is that the lower the Coefficient of Variation, the smaller the variability.
REFERENCE Almond, N. (2023). " W hat Are Mean, Median and Mode?” https://thirdspacelearning.com/us/blog/what-is-mean-median-mode/#:~:text=The %20mean%20is%20adding%20up,as%20a%20list%20of%20numbers . Frost, J. (2023). " Coefficient of Variation. " https://statisticsbyjim.com/basics/coefficient- variation/ Insee (2023). " Coefficient of Variation. " https://www.insee.fr/en/metadonnees/definition/c1366#:~:text=The%20coefficient%20of %20variation%20(CV,generally%20expressed%20as%20a%20percentage . Madelon, F. Z. (1999). "Mean, Standard Deviation, and Coefficient of Variation. " https://www.westgard.com/lesson34.htm#:~:text=CVs%20of%205%25%20or %20less,the%20CV%20may%20be%20low . NLM (2023). " Standard Deviation. " https://www.nlm.nih.gov/oet/ed/stats/02- 900.html#:~:text=A%20standard%20deviation%20(or%20%CF%83,data%20are %20more%20spread%20out . Stephanie G. (2023). " How to Find a Coefficient of Variation. " https://www.statisticshowto.com/probability-and-statistics/how-to-find-a-coefficient-of- variation/
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