Quantitative Analysis of Information Security Risk (original) (raw)

The purpose of this quantitative data analysis was to examine the relationship between industry type and information security risk-level among businesses in the United States. This paper took into account collected business related data from 36 industry types. Pattern recognition, bivariate linear regression analysis, and a one-sample t-test were performed to test the industry type and information security risk-level relationship of the selected business. Test results indicated that there is a significant predictive relationship between industry type and risk-level rates among United States businesses. Moreover, the one-sample t-test results indicated that United States businesses classified as a particular industry type are more likely to have a higher information security risk-level than the midpoint level of United States businesses.