applied calc derivatives
User Generated
Pynver2294
Mathematics
Description
Unformatted Attachment Preview
(1 pt) Calculate all four second-order partial derivatives and confirm that the mixed partials are equal.
f(x, y) = xy
aff
(a)
(8x)2
=
2f
(b)
=
(Oy)
(c)
=
32f
дудх
of
дхду
(d)
=
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
This question has not been answered.
Create a free account to get help with this and any other question!
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
4 pages
Multiple Regression In Practice
Multiple regression analysis tests a predictive statement; it helps in a study that explains the association between one c ...
Multiple Regression In Practice
Multiple regression analysis tests a predictive statement; it helps in a study that explains the association between one continuous dependent variable ...
We want to collect the Max. Temperature reading for each day in your home city or a city near you in February and August for a minimum of 3years.
Temperature patterns seen to be changing around the U.S. Winters seem shorter,
summers seem hotter, and major storms seem ...
We want to collect the Max. Temperature reading for each day in your home city or a city near you in February and August for a minimum of 3years.
Temperature patterns seen to be changing around the U.S. Winters seem shorter,
summers seem hotter, and major storms seem more frequent. Let’s collect some data and
look at what’s happening in your area. You can use the Weather Underground web page
at www.wunderground.com to collect historical data for a particular city. The Weather
Underground (www.wunderground.com) was created by a student/professor team at the
University of Michigan and shortly became a public company providing current and
historical weather data for the United States and other countries. At the top of the
Weather Underground home page you will find a box for entering the name of a city,
state or country. Enter your home city to see the current weather conditions there. Scroll
down and select the History & Almanac Table in which you can enter a date to see
statistics for any day from the past thirty years. Below the field where you enter a specific
date you can select Calender View and see all temperatures for a specific months.We want to collect the Max. Temperature reading for each day in your home city or a city
near you in February (for cold temperatures) and August (for hot temperatures) for a
minimum of 3years.
40 pages
Normal Distribution & Normal Curve
Data can be "distributed" (spread out) in different ways.It can be spread out more on the left Or more on the right
Normal Distribution & Normal Curve
Data can be "distributed" (spread out) in different ways.It can be spread out more on the left Or more on the right
MAT 240 Southern New Hampshire University Median Housing Price Prediction Paper
CompetencyIn this project, you will demonstrate your mastery of the following competency:Apply statistical techniques to a ...
MAT 240 Southern New Hampshire University Median Housing Price Prediction Paper
CompetencyIn this project, you will demonstrate your mastery of the following competency:Apply statistical techniques to address research problemsPerform hypothesis testing to address an authentic problemOverviewIn this project, you will apply inference methods for means to test your hypotheses about the housing sales market for a region of the United States. You will use appropriate sampling and statistical methods.ScenarioYou have been hired by your regional real estate company to determine if your region’s housing prices and housing square footage are significantly different from those of the national market. The regional sales director has three questions that they want to see addressed in the report:Are housing prices in your regional market higher than the national market average?Is the square footage for homes in your region different than the average square footage for homes in the national market?For your region, what is the range of values for the 95% confidence interval of square footage for homes in your market?You are given a real estate data set that has houses listed for every county in the United States. In addition, you have been given national statistics and graphs that show the national averages for housing prices and square footage. Your job is to analyze the data, complete the statistical analyses, and provide a report to the regional sales director. You will do so by completing the Project Two Template located in the What to Submit area below.DirectionsIntroductionPurpose: What was the purpose of your analysis, and what is your approach?Define a random sample and two hypotheses (means) to analyze.Sample: Define your sample. Take a random sample of 100 observations for your region.Describe what is included in your sample (i.e., states, region, years or months).Questions and type of test: For your selected sample, define two hypothesis questions and the appropriate type of test hypothesis for each. Address the following for each hypothesis:Describe the population parameter for the variable you are analyzing.Describe your hypothesis in your own words.Describe the inference test you will use.Identify the test statistic.Level of confidence: Discuss how you will use estimation and conference intervals to help you solve the problem.1-Tailed TestHypothesis: Define your hypothesis.Define the population parameter.Write null (Ho) and alternative (Ha) hypotheses.Specify your significance level.Data analysis: Analyze the data and confirm assumptions have not been violated to complete this hypothesis test.Summarize your sample data using appropriate graphical displays and summary statistics.Provide at least one histogram of your sample data.In a table, provide summary statistics including sample size, mean, median, and standard deviation.Summarize your sample data, describing the center, spread, and shape in comparison to the national information.Check the conditions.Determine if the normal condition has been met.Determine if there are any other conditions that you should check and whether they have been met.Hypothesis test calculations: Complete hypothesis test calculations, providing the appropriate statistics and graphs.Calculate the hypothesis statistics.Determine the appropriate test statistic (t).Calculate the probability (p value).Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis.Relate the p value and significance level.Make the correct decision (reject or fail to reject).Provide a conclusion in the context of your hypothesis.2-Tailed TestHypotheses: Define your hypothesis.Define the population parameter.Write null and alternative hypotheses.State your significance level.Data analysis: Analyze the data and confirm assumptions have not been violated to complete this hypothesis test.Summarize your sample data using appropriate graphical displays and summary statistics.Provide at least one histogram of your sample data.In a table, provide summary statistics including sample size, mean, median, and standard deviation.Summarize your sample data, describing the center, spread, and shape in comparison to the national information.Check the assumptions.Determine if the normal condition has been met.Determine if there are any other conditions that should be checked on and whether they have been met.Hypothesis test calculations: Complete hypothesis test calculations, providing the appropriate statistics and graphs.Calculate the hypothesis statistics.Determine the appropriate test statistic (t).Determine the probability (p value).Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis.Relate the p value and significance level.Make the correct decision (reject or fail to reject).Provide a conclusion in the context of your hypothesis.Comparison of the test results: See Question 3 from the Scenario section.Calculate a 95% confidence interval. Show or describe your method of calculation.Interpret a 95% confidence interval.Final ConclusionsSummarize your findings: Refer back to the Introduction section above and summarize your findings of the sample you selected.Discuss: Discuss whether you were surprised by the findings. Why or why not?What to SubmitTo complete this project, you must submit the following:Project Two Template: Use this template to structure your report, and submit the finished version as a Word document.Supporting MaterialsThe following resources may help support your work on the project:Data Set: House Listing Price by RegionUse this data for input in your project report.Document: National Statistics and GraphsUse this data for input in your project report.Use these tutorials for support with the Excel functions you will use in the project:Tutorial: Random Sampling in ExcelTutorial: Scatterplots in ExcelTutorial: Descriptive Statistics in ExcelTutorial: Creating Histograms in Excel
Similar Content
Sky Hospital Consortium probability
The Sky Hospital Consortium consists of 40 hospitals in various parts of the US. After being discharged, patients are give...
MATH 311 UTA 12 Math Rules That Expire in the Middle Grades Reflection Discussion
Read 12 Math Rules that Expire in Middle Grades.pdf by Karen S. Karp, Sarah B. Bush, and Barbara J. Dougherty. As you writ...
Luggage World buys briefcases. The terms of sale are 4/10 EOM. (a) What is the
Luggage World buys briefcases. The terms of sale are 4/10 EOM.
(a) What is the discount date if the invoice is dated Oct...
I need to get this solved and explain how the answer came about.
Traffic engineers use systems of equations to study the flow of traffic. The analysis of traffic flow is based on the prin...
What is the critical value of z for the hypothesis test?, Statistic Quiz help
In a survey regarding job satisfaction, 574 in a sample of 934 female job-holders stated that they are satisfied with thei...
Mathematics Solution Function Problem
e 1.7 Verify that y = v*(1-x) is a solution of
1-23
y' =
2y
8
...
Studypool Stats
We have the test statistic Z = 2.8685. Now, for ? = 0.01, we have 2 Tail Critical Value, z= -2.58 , 2.58 and 1 Tail Critic...
Cm Math Liberal Arts Module 11
Questions The following questions refer to the proof of “Theorem. For every integer n ≥ 1, the 1. Explain how we got t...
Scores
...
Related Tags
Book Guides
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
4 pages
Multiple Regression In Practice
Multiple regression analysis tests a predictive statement; it helps in a study that explains the association between one c ...
Multiple Regression In Practice
Multiple regression analysis tests a predictive statement; it helps in a study that explains the association between one continuous dependent variable ...
We want to collect the Max. Temperature reading for each day in your home city or a city near you in February and August for a minimum of 3years.
Temperature patterns seen to be changing around the U.S. Winters seem shorter,
summers seem hotter, and major storms seem ...
We want to collect the Max. Temperature reading for each day in your home city or a city near you in February and August for a minimum of 3years.
Temperature patterns seen to be changing around the U.S. Winters seem shorter,
summers seem hotter, and major storms seem more frequent. Let’s collect some data and
look at what’s happening in your area. You can use the Weather Underground web page
at www.wunderground.com to collect historical data for a particular city. The Weather
Underground (www.wunderground.com) was created by a student/professor team at the
University of Michigan and shortly became a public company providing current and
historical weather data for the United States and other countries. At the top of the
Weather Underground home page you will find a box for entering the name of a city,
state or country. Enter your home city to see the current weather conditions there. Scroll
down and select the History & Almanac Table in which you can enter a date to see
statistics for any day from the past thirty years. Below the field where you enter a specific
date you can select Calender View and see all temperatures for a specific months.We want to collect the Max. Temperature reading for each day in your home city or a city
near you in February (for cold temperatures) and August (for hot temperatures) for a
minimum of 3years.
40 pages
Normal Distribution & Normal Curve
Data can be "distributed" (spread out) in different ways.It can be spread out more on the left Or more on the right
Normal Distribution & Normal Curve
Data can be "distributed" (spread out) in different ways.It can be spread out more on the left Or more on the right
MAT 240 Southern New Hampshire University Median Housing Price Prediction Paper
CompetencyIn this project, you will demonstrate your mastery of the following competency:Apply statistical techniques to a ...
MAT 240 Southern New Hampshire University Median Housing Price Prediction Paper
CompetencyIn this project, you will demonstrate your mastery of the following competency:Apply statistical techniques to address research problemsPerform hypothesis testing to address an authentic problemOverviewIn this project, you will apply inference methods for means to test your hypotheses about the housing sales market for a region of the United States. You will use appropriate sampling and statistical methods.ScenarioYou have been hired by your regional real estate company to determine if your region’s housing prices and housing square footage are significantly different from those of the national market. The regional sales director has three questions that they want to see addressed in the report:Are housing prices in your regional market higher than the national market average?Is the square footage for homes in your region different than the average square footage for homes in the national market?For your region, what is the range of values for the 95% confidence interval of square footage for homes in your market?You are given a real estate data set that has houses listed for every county in the United States. In addition, you have been given national statistics and graphs that show the national averages for housing prices and square footage. Your job is to analyze the data, complete the statistical analyses, and provide a report to the regional sales director. You will do so by completing the Project Two Template located in the What to Submit area below.DirectionsIntroductionPurpose: What was the purpose of your analysis, and what is your approach?Define a random sample and two hypotheses (means) to analyze.Sample: Define your sample. Take a random sample of 100 observations for your region.Describe what is included in your sample (i.e., states, region, years or months).Questions and type of test: For your selected sample, define two hypothesis questions and the appropriate type of test hypothesis for each. Address the following for each hypothesis:Describe the population parameter for the variable you are analyzing.Describe your hypothesis in your own words.Describe the inference test you will use.Identify the test statistic.Level of confidence: Discuss how you will use estimation and conference intervals to help you solve the problem.1-Tailed TestHypothesis: Define your hypothesis.Define the population parameter.Write null (Ho) and alternative (Ha) hypotheses.Specify your significance level.Data analysis: Analyze the data and confirm assumptions have not been violated to complete this hypothesis test.Summarize your sample data using appropriate graphical displays and summary statistics.Provide at least one histogram of your sample data.In a table, provide summary statistics including sample size, mean, median, and standard deviation.Summarize your sample data, describing the center, spread, and shape in comparison to the national information.Check the conditions.Determine if the normal condition has been met.Determine if there are any other conditions that you should check and whether they have been met.Hypothesis test calculations: Complete hypothesis test calculations, providing the appropriate statistics and graphs.Calculate the hypothesis statistics.Determine the appropriate test statistic (t).Calculate the probability (p value).Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis.Relate the p value and significance level.Make the correct decision (reject or fail to reject).Provide a conclusion in the context of your hypothesis.2-Tailed TestHypotheses: Define your hypothesis.Define the population parameter.Write null and alternative hypotheses.State your significance level.Data analysis: Analyze the data and confirm assumptions have not been violated to complete this hypothesis test.Summarize your sample data using appropriate graphical displays and summary statistics.Provide at least one histogram of your sample data.In a table, provide summary statistics including sample size, mean, median, and standard deviation.Summarize your sample data, describing the center, spread, and shape in comparison to the national information.Check the assumptions.Determine if the normal condition has been met.Determine if there are any other conditions that should be checked on and whether they have been met.Hypothesis test calculations: Complete hypothesis test calculations, providing the appropriate statistics and graphs.Calculate the hypothesis statistics.Determine the appropriate test statistic (t).Determine the probability (p value).Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis.Relate the p value and significance level.Make the correct decision (reject or fail to reject).Provide a conclusion in the context of your hypothesis.Comparison of the test results: See Question 3 from the Scenario section.Calculate a 95% confidence interval. Show or describe your method of calculation.Interpret a 95% confidence interval.Final ConclusionsSummarize your findings: Refer back to the Introduction section above and summarize your findings of the sample you selected.Discuss: Discuss whether you were surprised by the findings. Why or why not?What to SubmitTo complete this project, you must submit the following:Project Two Template: Use this template to structure your report, and submit the finished version as a Word document.Supporting MaterialsThe following resources may help support your work on the project:Data Set: House Listing Price by RegionUse this data for input in your project report.Document: National Statistics and GraphsUse this data for input in your project report.Use these tutorials for support with the Excel functions you will use in the project:Tutorial: Random Sampling in ExcelTutorial: Scatterplots in ExcelTutorial: Descriptive Statistics in ExcelTutorial: Creating Histograms in Excel
Earn money selling
your Study Documents