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A consulting firm was hired to perform a survey on people living in New York City, Survey Data help
New York Survey DataInstructionsA consulting firm was hired to perform a survey on people living in New York City. T ...
A consulting firm was hired to perform a survey on people living in New York City, Survey Data help
New York Survey DataInstructionsA consulting firm was hired to perform 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 μ2through 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, then construct the 95% confidence interval for π6= 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 π7 = 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?Paper RequirementsMUST BE IN APA FORMAT!! Items that should be included, at a minimum, are a title page, an introduction, a body that answers the questions posed in the problem, and a conclusion paragraph that addresses your findings and what you have determined from the data and your analysis. As with all written assignments, you should have in-text citations and a reference page too. Please include any tables of calculations, calculated values and graphs associated with this problem in the body of your assignment response.NOTE: You MUST submit your Excel file with your report. This will aid in grading with partial credit if errors are found in the report.A. General Attitude toward Each Borough (Variables 1–5)1. Manhattan2. Brooklyn3. Queens4. The Bronx5. Staten IslandLike Very Much(5)(5)(5)(5)(5)Like(4)(4)(4)(4)(4)Neutral(3)(3)(3)(3)(3)Dislike(2)(2)(2)(2)(2)Dislike Very Much(1)(1)(1)(1)(1)B. Information about the Respondent (Variables 6–7)What is your highest level of education? (1) = Did not complete High school(2) = High school degree/GED(3) = Associate’s degree(4) = Bachelor’s degree(5) = Master’s degree(6) = Doctoral degreeMarital Status: (1) = Married (2) = Single or other
MATTH 225N Chamberlain College Wk 7 Statistical Reasoning Lab Questions
Demonstrate
Steps to Complete the Week 7 Lab
Step 1: Find these articles in the Chamberlain Library. Once you click each l ...
MATTH 225N Chamberlain College Wk 7 Statistical Reasoning Lab Questions
Demonstrate
Steps to Complete the Week 7 Lab
Step 1: Find these articles in the Chamberlain Library. Once you click each link, you will be logged into the Library and then click on "PDF Full Text".
First Article: Confidence Intervals, Part 1 (Links to an external site.)
Second Article: Confidence Intervals, Part 2 (Links to an external site.)
Step 2: Consider the use of confidence intervals in health sciences with these articles as inspiration and insights.
Step 3: Using the data you collected for the Week 5 Lab (heights of 10 different people that you work with plus the 10 heights provided by your instructor), discuss your method of collection for the values that you are using in your study (systematic, convenience, cluster, stratified, simple random). What are some faults with this type of data collection? What other types of data collection could you have used, and how might this have affected your study?
Step 4: Now use the Week 6 Spreadsheet to help you with calculations for the following questions/statements.
a) Give a point estimate (mean) for the average height of all people at the place where you work. Start by putting the 20 heights you are working with into the blue Data column of the spreadsheet. What is your point estimate, and what does this mean?
b) Find a 95% confidence interval for the true mean height of all the people at your place of work. What is the interval? [see screenshot below]
c) Give a practical interpretation of the interval you found in part b, and explain carefully what the output means. (For example, you might say, "I am 95% confident that the true mean height of all of the people in my company is between 64 inches and 68 inches").
d) Post a screenshot of your work from the t value Confidence Interval for µ from the Confidence Interval tab on the Week 6 Excel spreadsheet
Step 5: Now, change your confidence level to 99% for the same data, and post a screenshot of this table, as well.
Step 6: Compare the margins of error from the two screenshots. Would the margin of error be larger or smaller for the 99% CI? Explain your reasoning.
MAC 1147 FIU Trigonometry Triangles and Angles Questions
needs to show work on paper and I need it before 11 PM all questions about triangles and angels
MAC 1147 FIU Trigonometry Triangles and Angles Questions
needs to show work on paper and I need it before 11 PM all questions about triangles and angels
Grand Canyon Community Hospital Quality Improvement Proposal Paper
Identify a quality improvement opportunity in your organization or
practice. In a 1,250-1,500 word paper, describe the p ...
Grand Canyon Community Hospital Quality Improvement Proposal Paper
Identify a quality improvement opportunity in your organization or
practice. In a 1,250-1,500 word paper, describe the problem or issue and
propose a quality improvement initiative based on evidence-based
practice. Apply "The Road to Evidence-Based Practice" process,
illustrated in Chapter 4 of your textbook, to create your proposal.Include the following: Provide an overview of the problem and the setting in which the problem or issue occurs.Explain why a quality improvement initiative is needed in this area and the expected outcome.Discuss
how the results of previous research demonstrate support for the
quality improvement initiative and its projected outcomes. Include a
minimum of three peer-reviewed sources published within the last 5
years, not included in the course materials or textbook, that establish
evidence in support of the quality improvement proposed.Discuss steps necessary to implement the quality improvement initiative. Provide evidence and rationale to support your answer.Explain how the quality improvement initiative will be evaluated to determine whether there was improvement.Support
your explanation by identifying the variables, hypothesis test, and
statistical test that you would need to prove that the quality
improvement initiative succeeded. While APA style is not
required for the body of this assignment, solid academic writing is
expected, and documentation of sources should be presented using APA
formatting guidelines, which can be found in the APA Style Guide,
located in the Student Success Center.This assignment uses a
rubric. Please review the rubric prior to beginning the assignment to
become familiar with the expectations for successful completion.
KCCML Exploring Quality Issues with Statistical Tools Converting into SPSS
I have answered and completed all questions. I ONLY need the answered converted into SPSS. I need the charts in one SPSS f ...
KCCML Exploring Quality Issues with Statistical Tools Converting into SPSS
I have answered and completed all questions. I ONLY need the answered converted into SPSS. I need the charts in one SPSS file with explanations included. I have attached all 10 questions and excel answers.
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A consulting firm was hired to perform a survey on people living in New York City, Survey Data help
New York Survey DataInstructionsA consulting firm was hired to perform a survey on people living in New York City. T ...
A consulting firm was hired to perform a survey on people living in New York City, Survey Data help
New York Survey DataInstructionsA consulting firm was hired to perform 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 μ2through 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, then construct the 95% confidence interval for π6= 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 π7 = 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?Paper RequirementsMUST BE IN APA FORMAT!! Items that should be included, at a minimum, are a title page, an introduction, a body that answers the questions posed in the problem, and a conclusion paragraph that addresses your findings and what you have determined from the data and your analysis. As with all written assignments, you should have in-text citations and a reference page too. Please include any tables of calculations, calculated values and graphs associated with this problem in the body of your assignment response.NOTE: You MUST submit your Excel file with your report. This will aid in grading with partial credit if errors are found in the report.A. General Attitude toward Each Borough (Variables 1–5)1. Manhattan2. Brooklyn3. Queens4. The Bronx5. Staten IslandLike Very Much(5)(5)(5)(5)(5)Like(4)(4)(4)(4)(4)Neutral(3)(3)(3)(3)(3)Dislike(2)(2)(2)(2)(2)Dislike Very Much(1)(1)(1)(1)(1)B. Information about the Respondent (Variables 6–7)What is your highest level of education? (1) = Did not complete High school(2) = High school degree/GED(3) = Associate’s degree(4) = Bachelor’s degree(5) = Master’s degree(6) = Doctoral degreeMarital Status: (1) = Married (2) = Single or other
MATTH 225N Chamberlain College Wk 7 Statistical Reasoning Lab Questions
Demonstrate
Steps to Complete the Week 7 Lab
Step 1: Find these articles in the Chamberlain Library. Once you click each l ...
MATTH 225N Chamberlain College Wk 7 Statistical Reasoning Lab Questions
Demonstrate
Steps to Complete the Week 7 Lab
Step 1: Find these articles in the Chamberlain Library. Once you click each link, you will be logged into the Library and then click on "PDF Full Text".
First Article: Confidence Intervals, Part 1 (Links to an external site.)
Second Article: Confidence Intervals, Part 2 (Links to an external site.)
Step 2: Consider the use of confidence intervals in health sciences with these articles as inspiration and insights.
Step 3: Using the data you collected for the Week 5 Lab (heights of 10 different people that you work with plus the 10 heights provided by your instructor), discuss your method of collection for the values that you are using in your study (systematic, convenience, cluster, stratified, simple random). What are some faults with this type of data collection? What other types of data collection could you have used, and how might this have affected your study?
Step 4: Now use the Week 6 Spreadsheet to help you with calculations for the following questions/statements.
a) Give a point estimate (mean) for the average height of all people at the place where you work. Start by putting the 20 heights you are working with into the blue Data column of the spreadsheet. What is your point estimate, and what does this mean?
b) Find a 95% confidence interval for the true mean height of all the people at your place of work. What is the interval? [see screenshot below]
c) Give a practical interpretation of the interval you found in part b, and explain carefully what the output means. (For example, you might say, "I am 95% confident that the true mean height of all of the people in my company is between 64 inches and 68 inches").
d) Post a screenshot of your work from the t value Confidence Interval for µ from the Confidence Interval tab on the Week 6 Excel spreadsheet
Step 5: Now, change your confidence level to 99% for the same data, and post a screenshot of this table, as well.
Step 6: Compare the margins of error from the two screenshots. Would the margin of error be larger or smaller for the 99% CI? Explain your reasoning.
MAC 1147 FIU Trigonometry Triangles and Angles Questions
needs to show work on paper and I need it before 11 PM all questions about triangles and angels
MAC 1147 FIU Trigonometry Triangles and Angles Questions
needs to show work on paper and I need it before 11 PM all questions about triangles and angels
Grand Canyon Community Hospital Quality Improvement Proposal Paper
Identify a quality improvement opportunity in your organization or
practice. In a 1,250-1,500 word paper, describe the p ...
Grand Canyon Community Hospital Quality Improvement Proposal Paper
Identify a quality improvement opportunity in your organization or
practice. In a 1,250-1,500 word paper, describe the problem or issue and
propose a quality improvement initiative based on evidence-based
practice. Apply "The Road to Evidence-Based Practice" process,
illustrated in Chapter 4 of your textbook, to create your proposal.Include the following: Provide an overview of the problem and the setting in which the problem or issue occurs.Explain why a quality improvement initiative is needed in this area and the expected outcome.Discuss
how the results of previous research demonstrate support for the
quality improvement initiative and its projected outcomes. Include a
minimum of three peer-reviewed sources published within the last 5
years, not included in the course materials or textbook, that establish
evidence in support of the quality improvement proposed.Discuss steps necessary to implement the quality improvement initiative. Provide evidence and rationale to support your answer.Explain how the quality improvement initiative will be evaluated to determine whether there was improvement.Support
your explanation by identifying the variables, hypothesis test, and
statistical test that you would need to prove that the quality
improvement initiative succeeded. While APA style is not
required for the body of this assignment, solid academic writing is
expected, and documentation of sources should be presented using APA
formatting guidelines, which can be found in the APA Style Guide,
located in the Student Success Center.This assignment uses a
rubric. Please review the rubric prior to beginning the assignment to
become familiar with the expectations for successful completion.
KCCML Exploring Quality Issues with Statistical Tools Converting into SPSS
I have answered and completed all questions. I ONLY need the answered converted into SPSS. I need the charts in one SPSS f ...
KCCML Exploring Quality Issues with Statistical Tools Converting into SPSS
I have answered and completed all questions. I ONLY need the answered converted into SPSS. I need the charts in one SPSS file with explanations included. I have attached all 10 questions and excel answers.
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