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madreJ
2 months ago
6

You are implementing a new server that will connect 10 client computers to the Internet to access a company application. None of

these clients has anti-virus software installed. Assume there is a 90% chance that 50% of these systems will become infected with a virus after they connect to the Internet, and this virus will bring your network down for an entire 8-hour day. Anti-virus software would cost $500 a year for the organization. Assume that the impacted employees are paid $12 an hour. What is the Exposure Factor (EF) for this risk?
Business
1 answer:
marusya05 [3.7K]2 months ago
7 0
In the realm of project risk management, conducting risk analyses consists of two distinct procedures. The foundation for a project's success is grounded in proper risk analysis and management. Qualitative and quantitative risk analyses represent the two primary techniques utilized in this context. Qualitative risk analysis is applied to nearly every risk across various projects, while quantitative risk analysis is more selective, depending on the nature of the project or risks involved. The fundamental distinction lies in their methodologies. Qualitative risk analysis tends to be more subjective, concentrating on identifying risks that could potentially occur during the project's timeline, as well as their effects on the overall process. The aim here is to evaluate severity, subsequently documenting findings in a risk assessment matrix or an intuitive graphical report, both serving as vital communications tools for stakeholders about significant risks. In qualitative assessments, risks are rated as low, moderate, high, or extreme. On the other hand, quantitative risk analysis is objective and requires validated data to evaluate the risk impact concerning financial aspects, resource usage, and potential delays. This method assigns numerical values to various risks; for example, if risk X is calculated to have a 40% likelihood of occurrence and a 15% potential to cause delays, the findings rely heavily on the quality and precision of the input data. Analyzing both methods' processes, if choosing one for risk management relevant to your case, it would be prudent to opt for qualitative risk analysis, as it simplifies the evaluation of risk probability and prioritization. This approach facilitates easily pinpointing areas needing attention and can be utilized at any project stage to mitigate risks. In conclusion, if you must select one method in general, qualitative is recommended, even though both analyses provide insights into risks and their impacts effectively when conducted together. Thus, no matter the project's scale or complexity, you’ll have the necessary tools to benefit your organization.
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Scilla [3833]

Response:

The null hypothesis is rejected if t(critical) falls outside the range of -1.86 to +1.86.

Explanation:

Our goal is to determine the sales discrepancy between the east and west sides.

The significance level for this analysis is set at 10 percent, or 0.1, which is indicated by "h".

The hypothesis outlined in the question is as follows;

Hj: μd = 0.

Hi: μd ≠ 0.

Or

Hj: μ(east) = μ(west).

Hi: μ(east) ≠ μ(west).

The t(critical) value is determined using the formula +/− t(c/2) {df = n1 + n2 - 2 }.

[ Note that c/2) is a subscript of t and c =.1].

The t(critical) value is +1.86 or -1.86

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