With wifi and access points set up, Prevail Physical Therapy is open for business. Employees and clients arrive for their first day at the new location and are eager to get to work. As is to be expected, however, there is some uncertainty among co-workers regarding how to use the new systems, as well as a few “bugs” that need to be worked out. You end up spending the entire day educating folks and resolving glitches.Kara, one of the physical therapists, emails you informing you that she can’t get on the network using her laptop. Click on the link below to read the email.First, research and list the troubleshooting steps you would take in this situation. During your troubleshooting you discover that the cafe is too far from the router. Determine how to resolve this issue and, using the Documentation Form, provide documentation for the resolution.

Option #2: New York Survey DataA consulting firm was hired to conduct a survey on people living in New York City. The survey was completed monthly for six months by 445 randomly-selected people in different boroughs. There were a number of items on the survey, but six basic biographical items will be studied for this exercise. The data for the people surveyed in one of these monthly surveys can be found in the Excel file SURVEY. The variables that were used for the basic biographical data are found on the last page of the exercise.In this exercise, some of the estimation techniques presented in the module will be applied to the New York survey results. You may assume that these respondents represent a simple random sample of all potential respondents within the community, and that the population is large enough that application of the finite population correction would not make an appreciable difference in the results.New York City governmental agency personnel like to have point estimates regarding variables describing the biographical information of the people living within the different boroughs. It is very helpful for them to have some idea regarding the likely accuracy of these estimates as well. Therein lies the benefit of the techniques presented in this module and applied here. Item A in the description of the data collection instrument lists variables 1 through 5, which represent the respondent’s general attitude toward each of the five boroughs. Each of these variables has numerically equal distances between the possible responses, and for purposes of analysis they may be considered to be of the interval scale of measurement. Determine the point estimate, and then construct the 95% confidence interval for μ1= the average attitude toward Manhattan. Repeat part (a) for μ2 through μ5, the average attitudes toward Brooklyn, Queens, The Bronx and Staten Island, respectively. Given the breakdown of responses for variable 6 (highest level of education), determine the point estimate, and then construct the 95% confidence interval for p6= the population proportion of doctoral degrees. Given the breakdown of responses for variable 7 (marital status of respondent), determine the point estimate, and then construct the 95% confidence interval for p7 = the population proportion in the “single or other” category. Assume the governmental agencies requested estimates of the mean attitudes towards each borough with a margin of error of 0.05 for each borough. If the governmental agency personnel want to have 95% confidence that the sample mean will fall within this margin of error, how large should the sample sizes be for each borough? Requirements: Your paper should be 2-3 pages in length (not counting the title page and references page) and cite and integrate at least one credible outside source. The CSU Global Library is a great place to find resources. Your textbook is a credible resource. Include a title page, introduction, body, conclusion, and a reference page. The introduction should describe or summarize the topic or problem. It might discuss the general applications of the topic or it might introduce the unique terminology associated with the topic. The body of your paper should address the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure this is in paragraph format, not numbered answers like a homework assignment. The conclusion should summarize your thoughts about what you have determined from your analysis in completing the assignment. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs. Include any tables of data or calculations, calculated values, and/or graphs referenced in the paper. (Note: The minimum required length excludes any tables or graphs.) Document formatting, citations, and style should conform to the CSU Global Guide to Writing and APA Requirements (Links to an external site.). A short summary containing much that you need to know about paper formatting, citations, and references is contained in the Template Paper (Links to an external site.). In addition, information in the CSU Global Writing Center (Links to an external site.) has many helpful areas (Writing Tips, Template & Examples/Papers & Essays, Figures and Tables, and others). NOTE: You MUST submit your Excel file with your report. This will allow you to qualify for consideration for partial credit if any errors are found in your report.

Last week you formulated a research question and procedures for studying this question. You also reviewed two articles with main ideas similar to your own research. You were then able to see what kind of data is used to answer similar research questions. This week you will synthesize your findings into a 4-5 page analytical essay that further elaborates on and explores your research methodology. Modern statistical research relies on many of the concepts we studied in this course. Of course, the statistics used are often at a much higher level than what we have studied this term. In this course we studied statistics that only involved a few variables; however, in real research, statistics involves many more variables. Imagine that you have become a high-ranking executive with your prospective employer. You have vast resources to expand, including a team of statisticians and “number-crunchers”. In this case, you would most likely be the last person conducting research. However, you do need to understand the results of your research and explore various methods for conducting research. Your essay should have three parts, described below: Part I: Discuss how your team would collect your data? Would you review the entire population or would you select a sample? If you choose to select a sample, what sampling technique would you use to form a representative sample? Would you divide the members of your sample into additional groups, such as a randomized control group? Part II: Describe the methodology your team would use to analyze your data. What kinds of statistical techniques would you use that you have learned in this course? How would you present your statistics—in a table or with a graph? How would the statistical techniques you choose help you answer your research question? Part III: Identify how your team would interpret the results of this study? What kinds of values would you be analyzing from your study in part 2? If you are using hypothesis testing, what confidence level would you like to use? If you’re using regression analysis, what value would be favorable? How will your team report on these results? Last week you formulated a research question and procedures for studying this question. You also reviewed two articles with main ideas similar to your own research. You were then able to see what kind of data is used to answer similar research questions. This week you will synthesize your findings into a 3-4 page analytical essay that further elaborates on and explores your research methodology. Modern statistical research relies on many of the concepts we studied in this course. Of course, the statistics used is often at a much higher level than what we have studied this term. In this course we studied statistics that only involved a few variables; however, in real research, statistics involves many more variables. Imagine that you have become a high-ranking executive with your prospective employer. You have vast resources to expand, including a team of statisticians and “number-crunchers”. In this case, you would most likely be the last person conducting research. However, you do need to understand the results of your research and explore various methods for conducting research. Your essay should have three parts, described below: Part I: Discuss how your team would collect your data? Would you review the entire population or would you select a sample? If you choose to select a sample, what sampling technique would you use to form a representative sample? Would you divide the members of your sample into additional groups, such as a randomized control group? Part II: Describe the methodology your team would use to analyze your data. What kinds of statistical techniques would you use that you have learned in this course? How would you present your statistics—in a table or with a graph? How would the statistical techniques you choose help you answer your research question? Part III: Identify how your team would interpret the results of this study? What kinds of values would you be analyzing from your study in part 2? If you are using hypothesis testing, what confidence level would you like to use? If you’re using regression analysis, what value would be favorable? How will your team report on these results? Please see the example paper for an idea of the layout and what to include. The question for the Research in Healthcare is: "What is the rate of the insured population in the United States?" You will find all of the information for the research paper in the uploaded doc, "What's Your Statistical Research Strategy WorkSheet". This will provide you with the 2 scholarly articles that will be used and the type of statistical techniques that can be used to analyze the data.