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30 litres of 50% and 30 litres of 70% will make 60% solution
(15+21)/60 =36/60 =60%
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Southern New Hampshire Regional vs National Housing Price Comparison Essay
CompetencyIn this project, you will demonstrate your mastery of the following competency:Apply statistical techniques to a ...
Southern New Hampshire Regional vs National Housing Price Comparison Essay
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 confidence intervals to help you solve the problem.1-Tail 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-Tail 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 Region Use 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
Belhaven University Math Quantitative Reasoning Discussion Questions
Question 1Prompt: Read Ephesians 4:7-16 and Deuteronomy 32:4. In these
passages, we are instructed to not be tossed to a ...
Belhaven University Math Quantitative Reasoning Discussion Questions
Question 1Prompt: Read Ephesians 4:7-16 and Deuteronomy 32:4. In these
passages, we are instructed to not be tossed to and fro by false
teachings and are reminded that God is the God of truth. How do these
passages connect to the study of logic?Requirements: 250 words minimum initial post, 100 words minimum replyQuestion 2Prompt: We have studied logical fallacies. Find an example of a
logical fallacy in an article, audio clip, or video clip and post it for
your classmates to read.Requirements: 250 words minimum initial post, 100 words minimum reply
10 pages
20201201111517calculations 1
Note: Complete this worksheet by replacing the bracketed phrases in the response boxes with the You need to analyze three ...
20201201111517calculations 1
Note: Complete this worksheet by replacing the bracketed phrases in the response boxes with the You need to analyze three areas of the All-Store ...
MATH 2413 Lamar University Elementary Trigonometric Transformations Project
Hi,You are required to complete only one out of 3 projects in the Semester Projects file. Please read the Instructions and ...
MATH 2413 Lamar University Elementary Trigonometric Transformations Project
Hi,You are required to complete only one out of 3 projects in the Semester Projects file. Please read the Instructions and Rubric file before bidding to understand the project instructions.Thanks :)
RES-845 Week 4 DQ 1 Consider Mary's experiment regarding whether learning of 6th graders, statistics homework help
Mary is planning a study to see if learning of 6th graders on a math lesson is affected by background noise level. She wan ...
RES-845 Week 4 DQ 1 Consider Mary's experiment regarding whether learning of 6th graders, statistics homework help
Mary is planning a study to see if learning of 6th graders on a math lesson is affected by background noise level. She wants to use a t-test for independent groups to analyze her results. Help her plan her study. What is her independent variable (IV) here? Describe two conditions she could create for the IV in her study. What is her dependent variable (DV) here? Describe a way to measure the DV so that each participant would have one score at the end. Would this DV measure be on a continuous scale of measurement? Why is this important? Explain and justify.Please respond to the above question using 250 words. Please also use at least 1 reference that is from a peer reviewed article or journal not a website reference. Please also cite the reference in APA 6th edition format.
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Most Popular Content
Southern New Hampshire Regional vs National Housing Price Comparison Essay
CompetencyIn this project, you will demonstrate your mastery of the following competency:Apply statistical techniques to a ...
Southern New Hampshire Regional vs National Housing Price Comparison Essay
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 confidence intervals to help you solve the problem.1-Tail 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-Tail 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 Region Use 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
Belhaven University Math Quantitative Reasoning Discussion Questions
Question 1Prompt: Read Ephesians 4:7-16 and Deuteronomy 32:4. In these
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Question 1Prompt: Read Ephesians 4:7-16 and Deuteronomy 32:4. In these
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passages connect to the study of logic?Requirements: 250 words minimum initial post, 100 words minimum replyQuestion 2Prompt: We have studied logical fallacies. Find an example of a
logical fallacy in an article, audio clip, or video clip and post it for
your classmates to read.Requirements: 250 words minimum initial post, 100 words minimum reply
10 pages
20201201111517calculations 1
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20201201111517calculations 1
Note: Complete this worksheet by replacing the bracketed phrases in the response boxes with the You need to analyze three areas of the All-Store ...
MATH 2413 Lamar University Elementary Trigonometric Transformations Project
Hi,You are required to complete only one out of 3 projects in the Semester Projects file. Please read the Instructions and ...
MATH 2413 Lamar University Elementary Trigonometric Transformations Project
Hi,You are required to complete only one out of 3 projects in the Semester Projects file. Please read the Instructions and Rubric file before bidding to understand the project instructions.Thanks :)
RES-845 Week 4 DQ 1 Consider Mary's experiment regarding whether learning of 6th graders, statistics homework help
Mary is planning a study to see if learning of 6th graders on a math lesson is affected by background noise level. She wan ...
RES-845 Week 4 DQ 1 Consider Mary's experiment regarding whether learning of 6th graders, statistics homework help
Mary is planning a study to see if learning of 6th graders on a math lesson is affected by background noise level. She wants to use a t-test for independent groups to analyze her results. Help her plan her study. What is her independent variable (IV) here? Describe two conditions she could create for the IV in her study. What is her dependent variable (DV) here? Describe a way to measure the DV so that each participant would have one score at the end. Would this DV measure be on a continuous scale of measurement? Why is this important? Explain and justify.Please respond to the above question using 250 words. Please also use at least 1 reference that is from a peer reviewed article or journal not a website reference. Please also cite the reference in APA 6th edition format.
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