Paper Example on Data Presentation: Making or Breaking Deals

Introduction

Data analysis and presentation form a fundamental base of academic studies, marketing activities, professional practices, and industrial and commercial practices. For an individual to present the data, a clear understanding and necessary skills of data get required. The various techniques applied for data presentation include tabular, graphical, or text. The manner data gets presented how successful the deal is since it can result in making a great deal or breaking the deal. Decision-makers get impressed by how well data is presented to them (King et al., 2000). This study's primary focus is to analyze and present crimes’ statistics data of the Los Angeles police department of the period 1985 to 2014 in a written manner.

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Violent Crime Total

The averages of this type of crime get calculated to be as follows: The mean is 50,490, the median is 50,968, and the dataset has no mode value (Statistics, 2017). The data results imply that most of the crime occurrence in 12 months from 1985 to 2014 clustered around 50,490 figure (Statistics, 2017). 50,968 was the central figure of crime occurrence when the data got arranged in either ascending or descending order (Statistics, 2017). The mean and median value is almost the same, implying that the distribution of violent crime total from 1985 to 2014 is almost symmetrical. The max value of the crime is 89,875, the minimum is 16,524, and the range is 73,351(Statistics, 2017). It implies that 89,875 was the highest reported cases in 12 months from 1985 to 2014, and the one with the lowest had 16,524 reported cases (Statistics, 2017). The range is small, implying that there are no outliers in our values. In cases where there is an outlier figure, the difference between mean and median is significant. The absence of mode may be since the population keeps varying.

Murder and Non-Negligent Manslaughter

The averages of this type of crime get calculated to be as follows: The mean is 611, the median is 563, and the dataset has no mode value (Statistics, 2017). The data results imply that most of the murder and non-negligent manslaughter crimes occurrence in 12 months from 1985 to 2014 clustered around 611 figures (Statistics, 2017). 563 was the central figure of crime occurrence when the data got arranged in either ascending or descending order (Statistics, 2017). The mean and median value is almost the same, implying that the distribution of the crime from 1985 to 2014 is almost symmetrical. The max value of the crime is 1,094, the minimum is 251, and the range is 843 (Statistics, 2017). It implies that 1,094 was the highest figure of reported cases in 12 months from 1985 to 2014, and the one with the lowest had 251 reported cases (Statistics, 2017). The range is small, implying that there are no outliers in our values. In cases where there is an outlier figure, the difference between mean and median is significant. The absence of mode may be because the population keeps varying.

Legacy Rape

The averages of this type of crime get calculated to be as follows: The mean is 1,457, the median is 1,413, and the dataset has no mode value (Statistics, 2017). The data results imply that most of the crime occurrence in 12 months from 1985 to 2014 clustered around 1,457 (Statistics, 2017). 1,413 was the central figure of legacy crime occurrence when the data get arranged in either ascending or descending order (Statistics, 2017). The mean and median value is almost the same, implying that the distribution of legacy crime from 1985 to 2014 is almost symmetrical. The max value of the crime is 2,330, the minimum is 764, and the range is 1,566 (Statistics, 2017). It implies that 2,330 was the highest figure of reported cases in 12 months from 1985 to 2014, and the one with the lowest had 764 reported cases (Statistics, 2017). The range is small, implying that there are no outliers in our values. In cases where there is an outlier figure, the difference between mean and median is significant. The absence of mode may be because the population keeps varying.

Robbery

The mean is 20,824, the median is 16,872, and the dataset has no mode value (Statistics, 2017). The data results imply that most of the robbery crime occurrence in 12 months from 1985 to 2014 clustered around 20,824 figure (Statistics, 2017). 16,872 was the central figure of crime occurrence when the data gets arranged in either ascending or descending order (Statistics, 2017). The mean and median value is almost the same, implying that the distribution of robbery crime from 1985 to 2014 is almost symmetrical. The max value of the crime is 39,778, the minimum is 7,885, and the range is 31,893 (Statistics, 2017). It implies that 39,778 was the highest figure of reported cases in 12 months from 1985 to 2014, and the one with the lowest had 7,885 reported cases (Statistics, 2017). The range is small, implying that there are no outliers in our values.

Aggravated Assault

The mean is 27,608, the median is 31,987, and the dataset has no mode value (Statistics, 2017). The data results imply that most of the aggravated assault occurrences in 12 months from 1985 to 2014 clustered around 27,608 figures (Statistics, 2017). 31,987 was the central figure of crime occurrence when the data gets arranged in either ascending or descending order (Statistics, 2017). The mean and median value is almost the same, implying that the distribution of aggravated assault from 1985 to 2014 is almost symmetrical. The max value of the crime is 47,104, the minimum is 7,624, and the range is 39,480 (Statistics, 2017). It implies that 47,104 was the highest figure of reported cases in 12 months from 1985 to 2014, and the one with the lowest had 7,624 reported cases (Statistics, 2017). The range is small, implying that there are no outliers in our values. In cases where there is an outlier figure, the difference between mean and median is significant. The absence of mode may be because the population keeps varying.

Property Crime Total

The mean is 158,340, the median is 136,408, and the dataset has no mode value (Statistics, 2017). The data results imply that most of the property crime occurrence from 1985 to 2014 clustered around 158,340 figure (Statistics, 2017). 136,408 was the central figure of crime occurrence when the data gets arranged in either ascending or descending order (Statistics, 2017). The max value of the crime is 256,349, the minimum is 83,139, and the range is 173,210 (Statistics, 2017). It implies that 256,349 was the highest figure of reported cases in 12 months from 1985 to 2014, and the one with the lowest had 83,139 reported cases (Statistics, 2017). The range is small, implying that there are no outliers in our values. In cases where there is an outlier figure, the difference between mean and median is significant. The absence of mode may be because the population keeps varying.

Burglary

The mean is 33,504, the median is 25,535, and the dataset has no mode value (Statistics, 2017). The data results imply that most of the burglary crime occurrence from 1985 to 2014 clustered around 33,504 figure (Statistics, 2017). 25,535 was the central figure of crime occurrence when the data gets arranged in either ascending or descending order (Statistics, 2017). The max value of the crime is 64,201, the minimum is 15,070, and the range is 49,131 (Statistics, 2017). It implies that 64,201 was the highest figure of reported cases in 12 months from 1985 to 2014, and the one with the lowest had 15,070 reported cases (Statistics, 2017). The range is small, implying that there are no outliers in our values. In cases where there is an outlier figure, the difference between mean and median is significant. The absence of mode may be because the population keeps varying.

Larceny-Theft

The mean is 87,269, the median is 79,667, and the dataset has no mode value (Statistics, 2017). The data results imply that most of the larceny-theft occurrence from 1985 to 2014 clustered around 87,269 figure (Statistics, 2017). 79,667 was the central figure of crime occurrence when the data gets arranged in either ascending or descending order (Statistics, 2017). The max value of the crime is 130,234, the minimum is 53,469, and the range is 76,765 (Statistics, 2017). It implies that 130,234 was the highest figure of reported cases in 12 months from 1985 to 2014, and the one with the lowest had 53,469 reported cases (Statistics, 2017). The range is small, implying that there are no outliers in our values.

Motor Vehicle Theft

The mean is 37,567, the median is 32,687, and the dataset has no mode value (Statistics, 2017). The data results imply that most of the motor vehicle theft occurrence from 1985 to 2014 clustered around 37,567 figure (Statistics, 2017). 32,687 was the central figure of crime occurrence when the data gets arranged in either ascending or descending order (Statistics, 2017). The max value of the crime is 68,655; the minimum is 13,788, and the range is 54,867 (Statistics, 2017). It implies that 68,655 was the highest figure of reported cases in 12 months from 1985 to 2014, and the one with the lowest had 13,788 reported cases (Statistics, 2017). The range is small, implying that there are no outliers in our values.

References

King, G., Tomz, M., & Wittenberg, J. (2000). Making the most of statistical analyses: Improving interpretation and presentation. American journal of political science, 347-361. http://www.academia.edu/download/30660604/king98f.pdf

Statistics, U. C. R. (2017). Welcome to a new way to access UCR statistics. https://www.ucrdatatool.gov/