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please show work from start to finish of the answer
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Due March 20, 2020, 11:59 PM
Name
1. Let f(x,y) = Vxy.
a) Find f(-3,-1).
Math 281 - Test 2
Show all work.
b) Find the domain off.
c) Carefully sketch the level curves off for k= 0, 1, 2, and 3.
2. Find all first partial derivatives.
a) f(x,y,z) = xye' + 3xz2
= arctan
х
b)
f(x,y)
3. Find fer» fry > fx , and fyy, for f(x,y) = 4x’ – xy2.
و لال
Due March 20, 2020, 11:59 PM
Math 281 - Test 2
Show all work.
page 2 of 4
-1
4. Find the differentials, dz or dw for the following functions.
a) 2 = x² + y
b)
w = 2z'ysin x
5. Use the differential dz to approximate the change in z
X +
x2
to (3.01, 3.97) so that (Ax, Ay) = (0.01, - 0.03). Do not use a calculator.
the
6. Use partial derivatives to find dy/dx if y = f(x) is defined implicitly by xe' - cos(x - y) = 0.
Math 281 - Test 2
Show all work.
page 3 of 4
Due March 20, 2020, 11:59 PM
7. The radius, r, of a right circular cone is increasing at a rate, dr dr, of 3 cm per second, and the
height, h, is increasing at a rate, dh/dt, of 4 cm per second. Use a chain rule to determine the rate
of change of the volume, dv/dt, when r = 6 cm and h=9 cm. Volume of a cone: V = h.
8. Let f(x,y) = 2x2 - y2
a. Find the gradient Vf(x,y).
b. Evaluate the gradient Vf(x,y) at the point (1,2).
c. Find the directional derivative Duf at (1, 2) for the in the direction of u = ži- j.
Due March 20, 2020, 11:59 PM
page 4 of 4
Math 281 - Test 2
Show all work.
9. Let F(x,y,z) = x + 2y2 - 3z.
a. Find the gradient VF(x, y,z).
b. Evaluate the gradient Vf(x,y) at the point (x, y, z) = (2,-1, 1).
c. Find an equation for the tangent plane to the hyperboloid x² + 2y2 – 3z= 3 at the point
(x, y, z) = (2,-1, 1).
10. Find all critical points of f(x,y) = x° - 12xy + 8y and find locations and values of all local
maxima, minima, or saddle points.
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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
Chamberlain College of Nursing Wk 6 Confidence Interval Concepts Discussion
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Colorado State University Cars Critical Thinking Paper
Option #1: Critical Thinking: Cars
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Colorado State University Cars Critical Thinking Paper
Option #1: Critical Thinking: Cars
An expert who works for a car magazine obtained random data (rounded to the nearest thousand) among two categories of used or new cars: Domestic Foreign
The expert would like to understand sales based on list price (rounded to the nearest thousand dollars), sale price (rounded to the nearest thousand dollars), and number of days it takes to sell each car. The complete data set is in the file named Cars.
Managerial Report
Prepare a report (see below) that summarizes your assessment of the nature of the car market. Be sure to include the following seven items in your report.
Calculate descriptive statistics (mean, median, range, standard deviation, and coefficient of variation) to summarize each of the three variables for the all Domestic cars.
Use z-scores to determine if there any outliers in the data set for any of the three variables. If there are any outliers in any category, please list them and state for which category they are an outlier.
If a result is an outlier, state whether it is below or above the mean.
How can one use the above descriptive statistics to understand the Domestic car market better?
Could there be any other descriptive statistics that can help one understand the Domestic car market better?
Descriptive statistics (mean, median, range, standard deviation, and coefficient of variation) to summarize each of the three variables for the all Foreign cars.
Use z-scores to determine if there any outliers in the data set for any of the three variables.
If there are any outliers in any category, please list them and state for which category they are an outlier.
If a result is an outlier, state whether it is below or above the mean.
How can one use the above descriptive statistics to understand the Foreign car market better?
Could there be any other descriptive statistic that can help one understand the Foreign car market better?
Compare your summary results from #1 and #2. Discuss any specific statistical results that would help the car expert understand the two-car markets.
Develop a 98% confidence interval estimate of the population mean sales price and population mean number of days to sell for Domestic cars. What is the margin of error?
Interpret what each confidence intervals means. How can both confidence intervals provide useful car sales information?
What other confidence interval would you choose to compute to obtain more information related to Domestic car sales? Explain why.
What happens to the confidence interval as the level of confidence is increased?
Develop a 98% confidence interval estimate of the population mean sales price and population mean number of days to sell for Foreign cars. What is the margin of error?
Interpret what each confidence intervals means. How can both confidence intervals provide useful car sales information?
What other confidence interval would you choose to compute to obtain more information related to Domestic car sales? Explain why.
Assume the car expert requested estimates of the mean number of days to sell for the Domestic cars with a margin of error of seven days and the mean selling price of foreign cars with a margin of error of eight days.
Using 98% confidence, how large should the sample sizes be for each one?
How could the sample size formula be useful in understanding both types of car businesses? What are some advantages of a larger sample size?
Suppose a Domestic car has a list price of $30,000 and a Foreign car has a list price of $30,000. What is your estimate of the final selling price (based on the percent difference for the sale and list price) and number of days required to sell each of these cars?
How would these two estimates be useful in this application?
Write a report that adheres to the formatting and APA expectations outlined on the CSU Global Writing Center (Links to an external site.). As with all written assignments at CSU Global, you should have in-text citations and a reference page.
Submit your Excel file in addition to your report.
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The Hospital Compare web site provides the following rationale for why this measure of quality is helpful: "A goal of prophylaxis with antibiotics is to provide benefit to the patient with as little risk as possible. It is important to maintain therapeutic serum and tissue levels throughout the operation. Intra-operative re-dosing may be needed for long operations. However, administration of antibiotics for more than a few hours after the incision is closed offers no additional benefit to the surgical patient. Prolonged administration does increase the risk of clostridium difficile infection and the development of antimicrobial resistant pathogens." To complete this assignment complete the following tasks:Download Hospital Compare data for the years starting from 2015 till now. Merge the file "HQI_HOSP_TimelyEffectiveCare" across all databases for different years.Select measure ID "SCIP_INF_3"; this measure refers to prophylactic antibiotic use. Select to work with data from "Southeast Alabama Medical Center"; this is provider ID "010001".Calculate rate of overuse of antibiotics. In these data, the field "Score" refers to the number of patients with overuse of antibiotics. The field "Sample" refers to all selected surgical patients with no evidence of prior infection. The ratio of Score to Sample provides the rate of overuse of antibiotics. Construct a control chart showing rate of overuse of prophylactic antibiotic over time in Southeast Alabama Medical Center. Download the needed data using the following databases (if new data is available, please use them)You can find the solution here here - Alternative Formats .The student peer video shows that data across the years us merged using SQL. You can do the same merger without using SQL. Open the CSV files (you can ignore access files for old years.) Filter the data by the measure you are interested in Copy the sheet with the relevant filtered data from each CSV file into a single sheet within the new Excel file. In a sheet titles "ALL" inside the Excel file, use cell reference to bring the data in different sheets to the "ALL" sheet. Do your analysis on this sheet. Part 2: Nursing home and hospital administrators implement many initiatives to reduce falls. This problem shows how these initiatives can be measured and evaluated. Prepare a risk-adjusted control chart for dataon falls in a nursing homePlease use the following peer video as a reference for this assignment. You can find the solution here here - Alternative Formats .Part 3: The following data were obtained on post surgical infection rates. Are we having more infections than expected from the patients' conditions?You can find the solution here here - Alternative Formats .WeekRisk of Infection for each PatientNumber Infected10.90.80.70.80.90.85620.70.80.70.60.80.9530.80.950.920.87440.50.60.660.67350.30.40.50.40.50.34260.30.40.51Part 4: Download Hospital Compare data. In these files the denominator indicates the number of patients. Whether the hospital had above average payments are reported in different fields: [Compared to National], [Category], and [Payment Category]Select data that meet the following conditions:Select the "PAYM_30_AMI" measureSelect hospitals that in the denominator do not have "Not Available".Construct a control chart showing probability of change over time. To assist, we have download some of the necessary files. You can add to these additional more recent files from the Hospital Compare site. Since the data on AMI payments does not change in the files, you can save time and read only the following files into a new database:FileDatabaseFieldStartEndHQI_HOSP_AMI_Payment HOSArchive_20150122Compared to National20102013HQI_HOSP_Payment HOSArchive_20150716Category20112014HQI_HOSP_PaymentAndValueOfCare HOSArchive_20161110Payment Category20122015Include other data for more recent years after 2016You can find the solution here here - Alternative Formats and here here - Alternative Formats .Some of you do not have Microsoft Access. Early files in Hospital Compare used Microsoft Access and later files used CSV (a file format that opens with Excel.) To remedy this situation, I am replacing Microsoft Access files with Excel Files. If you have to look at only AMI quality measures you need to use the filter feature within Excel. Use these files: HQI_HOSP_PaymentAndValueofCare20161110 HQI_HOSP_AMI_Payment20150122 HQI_HOSP_Payment20150716
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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
Chamberlain College of Nursing Wk 6 Confidence Interval Concepts Discussion
Week 6 Discussion: Confidence Interval ConceptsRequired ResourcesRead/review the following resources for this activity:Tex ...
Chamberlain College of Nursing Wk 6 Confidence Interval Concepts Discussion
Week 6 Discussion: Confidence Interval ConceptsRequired ResourcesRead/review the following resources for this activity:Textbook: Chapter 8 (All Sections)LessonMinimum of 1 scholarly sourceInitial Post InstructionsFind an example of a confidence interval in the news, scholarly source or medical journal. Summarize the article/study. Does the article/study include the sample size and the level of confidence used to create the confidence interval? Explain what the confidence interval means in context of the news article or scholarly source.
Colorado State University Cars Critical Thinking Paper
Option #1: Critical Thinking: Cars
An expert who works for a car magazine obtained random data (rounded to the nearest tho ...
Colorado State University Cars Critical Thinking Paper
Option #1: Critical Thinking: Cars
An expert who works for a car magazine obtained random data (rounded to the nearest thousand) among two categories of used or new cars: Domestic Foreign
The expert would like to understand sales based on list price (rounded to the nearest thousand dollars), sale price (rounded to the nearest thousand dollars), and number of days it takes to sell each car. The complete data set is in the file named Cars.
Managerial Report
Prepare a report (see below) that summarizes your assessment of the nature of the car market. Be sure to include the following seven items in your report.
Calculate descriptive statistics (mean, median, range, standard deviation, and coefficient of variation) to summarize each of the three variables for the all Domestic cars.
Use z-scores to determine if there any outliers in the data set for any of the three variables. If there are any outliers in any category, please list them and state for which category they are an outlier.
If a result is an outlier, state whether it is below or above the mean.
How can one use the above descriptive statistics to understand the Domestic car market better?
Could there be any other descriptive statistics that can help one understand the Domestic car market better?
Descriptive statistics (mean, median, range, standard deviation, and coefficient of variation) to summarize each of the three variables for the all Foreign cars.
Use z-scores to determine if there any outliers in the data set for any of the three variables.
If there are any outliers in any category, please list them and state for which category they are an outlier.
If a result is an outlier, state whether it is below or above the mean.
How can one use the above descriptive statistics to understand the Foreign car market better?
Could there be any other descriptive statistic that can help one understand the Foreign car market better?
Compare your summary results from #1 and #2. Discuss any specific statistical results that would help the car expert understand the two-car markets.
Develop a 98% confidence interval estimate of the population mean sales price and population mean number of days to sell for Domestic cars. What is the margin of error?
Interpret what each confidence intervals means. How can both confidence intervals provide useful car sales information?
What other confidence interval would you choose to compute to obtain more information related to Domestic car sales? Explain why.
What happens to the confidence interval as the level of confidence is increased?
Develop a 98% confidence interval estimate of the population mean sales price and population mean number of days to sell for Foreign cars. What is the margin of error?
Interpret what each confidence intervals means. How can both confidence intervals provide useful car sales information?
What other confidence interval would you choose to compute to obtain more information related to Domestic car sales? Explain why.
Assume the car expert requested estimates of the mean number of days to sell for the Domestic cars with a margin of error of seven days and the mean selling price of foreign cars with a margin of error of eight days.
Using 98% confidence, how large should the sample sizes be for each one?
How could the sample size formula be useful in understanding both types of car businesses? What are some advantages of a larger sample size?
Suppose a Domestic car has a list price of $30,000 and a Foreign car has a list price of $30,000. What is your estimate of the final selling price (based on the percent difference for the sale and list price) and number of days required to sell each of these cars?
How would these two estimates be useful in this application?
Write a report that adheres to the formatting and APA expectations outlined on the CSU Global Writing Center (Links to an external site.). As with all written assignments at CSU Global, you should have in-text citations and a reference page.
Submit your Excel file in addition to your report.
Grand Canyon University Analysis of Variance Analytical Review
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1 - Review the four "ANOVA" videos in the Calculations section of the "Statistics Visual Learner" media piece. https://lc.gcumedia.com/hlt362v/the-visual-learner...Explain
the major differences between analyzing a one-way ANOVA versus a
two-factor ANOVA, and explain why factorial designs with two or more
independent variables (or factors) can become very difficult to
interpret.2 - Explain how the ANOVA technique avoids the problem of the inflated
probability of making Type I error that would arise using the
alternative method of comparing groups two at a time using the t-test
for independent groups.3 -In
two-way ANOVA test, how many sets of hypotheses do we test? Provide an
example of two-way ANOVA test and set up appropriate hypotheses.
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GMU Data Evaluation Questions
This exercise allows you to examine how quality of hospital care is evaluated through data obtained from electronic health ...
GMU Data Evaluation Questions
This exercise allows you to examine how quality of hospital care is evaluated through data obtained from electronic health records. This exercise is discussed in several health administration courses, including courses on quality improvement, informatics, or statistics. In practice, the need to analyze these types of data arises in improvement teams, where managers, clinicians and sometimes patients work together to systematically improve healthcare processes.Part 1: In this assignment, you are asked to examine if prophylactic antibiotics are discontinued within 24 hours after end of surgery. Instead of providing you with the data, we ask that you download the data on the web so that you learn more about the source of the data and peculiar organization of the data. Hospital Compare provides information on many quality indicators. In this assignment, you are asked to focus on failure to stop use of antibiotics post surgery. The Hospital Compare web site provides the following rationale for why this measure of quality is helpful: "A goal of prophylaxis with antibiotics is to provide benefit to the patient with as little risk as possible. It is important to maintain therapeutic serum and tissue levels throughout the operation. Intra-operative re-dosing may be needed for long operations. However, administration of antibiotics for more than a few hours after the incision is closed offers no additional benefit to the surgical patient. Prolonged administration does increase the risk of clostridium difficile infection and the development of antimicrobial resistant pathogens." To complete this assignment complete the following tasks:Download Hospital Compare data for the years starting from 2015 till now. Merge the file "HQI_HOSP_TimelyEffectiveCare" across all databases for different years.Select measure ID "SCIP_INF_3"; this measure refers to prophylactic antibiotic use. Select to work with data from "Southeast Alabama Medical Center"; this is provider ID "010001".Calculate rate of overuse of antibiotics. In these data, the field "Score" refers to the number of patients with overuse of antibiotics. The field "Sample" refers to all selected surgical patients with no evidence of prior infection. The ratio of Score to Sample provides the rate of overuse of antibiotics. Construct a control chart showing rate of overuse of prophylactic antibiotic over time in Southeast Alabama Medical Center. Download the needed data using the following databases (if new data is available, please use them)You can find the solution here here - Alternative Formats .The student peer video shows that data across the years us merged using SQL. You can do the same merger without using SQL. Open the CSV files (you can ignore access files for old years.) Filter the data by the measure you are interested in Copy the sheet with the relevant filtered data from each CSV file into a single sheet within the new Excel file. In a sheet titles "ALL" inside the Excel file, use cell reference to bring the data in different sheets to the "ALL" sheet. Do your analysis on this sheet. Part 2: Nursing home and hospital administrators implement many initiatives to reduce falls. This problem shows how these initiatives can be measured and evaluated. Prepare a risk-adjusted control chart for dataon falls in a nursing homePlease use the following peer video as a reference for this assignment. You can find the solution here here - Alternative Formats .Part 3: The following data were obtained on post surgical infection rates. Are we having more infections than expected from the patients' conditions?You can find the solution here here - Alternative Formats .WeekRisk of Infection for each PatientNumber Infected10.90.80.70.80.90.85620.70.80.70.60.80.9530.80.950.920.87440.50.60.660.67350.30.40.50.40.50.34260.30.40.51Part 4: Download Hospital Compare data. In these files the denominator indicates the number of patients. Whether the hospital had above average payments are reported in different fields: [Compared to National], [Category], and [Payment Category]Select data that meet the following conditions:Select the "PAYM_30_AMI" measureSelect hospitals that in the denominator do not have "Not Available".Construct a control chart showing probability of change over time. To assist, we have download some of the necessary files. You can add to these additional more recent files from the Hospital Compare site. Since the data on AMI payments does not change in the files, you can save time and read only the following files into a new database:FileDatabaseFieldStartEndHQI_HOSP_AMI_Payment HOSArchive_20150122Compared to National20102013HQI_HOSP_Payment HOSArchive_20150716Category20112014HQI_HOSP_PaymentAndValueOfCare HOSArchive_20161110Payment Category20122015Include other data for more recent years after 2016You can find the solution here here - Alternative Formats and here here - Alternative Formats .Some of you do not have Microsoft Access. Early files in Hospital Compare used Microsoft Access and later files used CSV (a file format that opens with Excel.) To remedy this situation, I am replacing Microsoft Access files with Excel Files. If you have to look at only AMI quality measures you need to use the filter feature within Excel. Use these files: HQI_HOSP_PaymentAndValueofCare20161110 HQI_HOSP_AMI_Payment20150122 HQI_HOSP_Payment20150716
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