Data Analysis and Results  Discussion Data analysis is key for discovering credible findings from implementing nursing studies. Discussion and conclusions can be made about the meaning of the findings from the data analysis. Share what you learned about descriptive analysis (statistics), inferential analysis (statistics), and qualitative analysis of data; include something that you learned that was interesting to you and your thoughts on why data analysis is necessary for discovering credible findings for nursing. Compare clinical significance and statistical significance; include which one is more meaningful to you when considering the application of findings to nursing practice.

METROPOLITAN IT INFRASTRUCTURE:Answer the following short answer questions in clear, concise sentences. Each response should not be fewer than 100-words but not more than 425 words; citation to sources does not count as part of word counts. (Worth 10% each or 10 points each) *** MUST BE PRINTED OUT AND SUBMITTED IN CLASS DATE OF MIDTERM ON SYLLABUS*** Compare and contrast Client/Server to Peer-to-Peer networks and which one you would consider to be best for a specific circumstance or context within a metropolitan area and why. Provide at least 3 examples. Explain the Claude Shannon Communication Model. Be sure to include bounded & unbounded mediums during the communication. How do these factor in the what and why of digital access? Why is he such a significant tech figure?What is and what can be done to design digital inclusion in a Metropolitan IT Infrastructure for the stakeholders? This response should take up at least three examples relating respectively to: issues of harassment and abuse policies, freedom of speech, algorithmic biases in software, privacy matters, surveillance, and/or security issues. Explain Fair Use as a first amendment doctrine, as a practice that protects freedom of expression and thought. Include at least 3 specific examples of how, why, when it matters for distributing and sharing digital content online. Explain and provide examples for 5 ways RFIDs can be utilized in a Smart City. How does this differ from NFC technology? What are at least 3 advantages and disadvantages of NFC; explain reasoning with examples. Read through all of the digital divides/diversities labs in our BB classroom: list three that made you reconsider something about this topic, either in relation to what you wrote about or because it helped you understand something not realized before about these issues. Be sure to explain What is the role of community centers, museums and public libraries in digital inclusion? What issues do content filters used in these locations pose? How does this issue differ from and/or relate to filter bubbles? Support your ideas with examples. What impact does Cloud Computing have on 21st Century Cities Initiatives? Be sure to explain and specify some of the different services and structures offered through the Cloud (include at a minimum three examples).Describe/explain IoT as a tech innovation that is reshaping the infrastructure of cities. What are three major benefits and drawbacks associated with their increasing use? Be sure to include relevant examples as you illustrate ideas. How does Big Data Analytics assist in building Smart Cities? Give specific examples from the reading. What are some of the ethical, legal and technical pitfalls of “big data” when coordinating governmental services (which may or may not have been discussed in our assigned textbook). Provide specific examples from researching the issue further; be sure to cite additional sources used.