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xy=100m^2
4*5=20m^2
20/100=1/5 =20 percent increase
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Overview
In 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.
Scenario
You 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?
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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.
Directions
Introduction
Purpose: 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-Tail Test
Hypothesis: Define your hypothesis.
Define the population parameter.
Write null (Ho) and alternative (Ha) hypotheses.
Specify your significance level.
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Summarize your sample data using appropriate graphical displays and summary statistics.
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Relate the p value and significance level.
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Provide a conclusion in the context of your hypothesis.
2-Tail Test
Hypotheses: 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.
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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 Conclusions
Summarize 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 Submit
To 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 Materials
The following resources may help support your work on the project:
Data Set: House Listing Price by Region
Use this data for input in your project report.
Document: National Statistics and Graphs
Use 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 Excel
Tutorial: Scatterplots in Excel
Tutorial: Descriptive Statistics in Excel
Tutorial: Creating Histograms in Excel
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Belhaven University Application of Mathematics Functions Questions
Question 1Prompt: We have discussed the question, "Is Mathematics invented or
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discovered?" What insights do the passages Proverbs 3:19 and Jeremiah
51:15 provide in this discussion? Remember that mathematics is more than
just numbers and equations but also the foundation of physics,
chemistry, and biology.Requirements: 250 words minimum initial post, 100 words minimum replyQuestion 2Prompt: Find or contrive three examples of functions applied in the
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SNHU Regional Average Market Price of Places of Residence Statistics Report
In this project, you will demonstrate your mastery of the following competency:
Apply statistical techniques to address ...
SNHU Regional Average Market Price of Places of Residence Statistics Report
In this project, you will demonstrate your mastery of the following competency:
Apply statistical techniques to address research problems
Perform hypothesis testing to address an authentic problem
Overview
In 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.
Scenario
You 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.
Directions
Introduction
Purpose: 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-Tail Test
Hypothesis: 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-Tail Test
Hypotheses: 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 Conclusions
Summarize 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 Submit
To 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 Materials
The following resources may help support your work on the project:
Data Set: House Listing Price by Region
Use this data for input in your project report.
Document: National Statistics and Graphs
Use 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 Excel
Tutorial: Scatterplots in Excel
Tutorial: Descriptive Statistics in Excel
Tutorial: Creating Histograms in Excel
6 pages
Template For Assignment 2
Remove all red-text instructions from this template prior to submission. Save the file as a word document or pdf with the ...
Template For Assignment 2
Remove all red-text instructions from this template prior to submission. Save the file as a word document or pdf with the title “Last Name, First ...
Concordia Fitting Data Reduction of The Global Poverty Headcount Paper
1. Consult an almanac, newspaper, magazine, or the Internet to find data that appear to lie approximately on or near a str ...
Concordia Fitting Data Reduction of The Global Poverty Headcount Paper
1. Consult an almanac, newspaper, magazine, or the Internet to find data that appear to lie approximately on or near a straight line. A few of the many free sources of data that might be appropriate to use are:http://data.worldbank.org/ (Links to an external site.) (Links to an external site.)http://www.statcrunch.com/5.0/shareddata.php?keywords=DATA (Links to an external site.) (Links to an external site.)http://datacatalogs.org/ (Links to an external site.) (Links to an external site.)http://data.gc.ca/eng (Links to an external site.)2. Create a scatterplot and a line fitting the data in one of two ways:An easier way, and one that produces better looking results, is to find the equation of the line for your data using this free, online linear regression calculator: http://www.alcula.com/calculators/statistics/linear-regression/ (Links to an external site.).b. To use the regression calculator:Enter your data, but without parentheses ( ), in the empty data field at: http://www.alcula.com/calculators/statistics/linear-regression/ (Links to an external site.). For example, for my first point, I would type 1,5 not the usual ordered pair format of (1, 5).When all of your data points are entered, click on the “Submit Data” button. The line of best fit y = mx + b for your data will be displayed, as will a figure showing a scatterplot of your data and the graph of your line of best fit.Right-click on the displayed figure of the scatterplot/graph and save it to your computer. Then, load it into the discussion box when you make your post. To do that, click on the image button in the palette of the discussion text-editor window. In that menu, you load the figure from your computer into your post.3. Also include a link to your data, along with an explanation of what the x and y axes represent in your graph.
Compose Items and Response Scales
For this task, complete the readings for this week; and then, write a paper in which you answer the following questions an ...
Compose Items and Response Scales
For this task, complete the readings for this week; and then, write a paper in which you answer the following questions and complete the following assignments:Determine the major issues that must be addressed in item construction.Discuss the general types of response scales used in measuring a construct and provide brief examples for each.Indicate a more appropriate response scale that your instrument could use. Justify your use of the response scale.Construct three sample items (even without the benefit of SMEs or a focus-grouped discussion) that represent your construct of choice. Include an appropriate response scale.Use Rauthmann’s proposed item format taxonomy to analyze your partially-constructed three-item scale (i.e., point of reference, general item format, construct indicator, and conditionality).Length: 5-7 pages, not including title and reference pagesYour assignment should demonstrate thoughtful consideration of the ideas and concepts presented in the course by providing new thoughts and insights relating directly to this topic. Your response should reflect scholarly writing and current APA standards.
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