Description
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
x+5 / x2 - 36 is not defined where the denominator is equal to zero
So, we set x2 - 36 = 0 and solve
(x+6)(x - 6) = 0
x = - 6
or
x = 6
Completion Status:
100%
Review
Review
Anonymous
I was having a hard time with this subject, and this was a great help.
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
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
MAT3172CBE Rasmussen G&B Consulting Game Theory Applications PP Powerpoint
InstructionsAfter working for 18 months in your analyst position at G&B Consulting, you are now being considered for a pro ...
MAT3172CBE Rasmussen G&B Consulting Game Theory Applications PP Powerpoint
InstructionsAfter working for 18 months in your analyst position at G&B Consulting, you are now being considered for a project manager position that would put you in charge of several team members. As part of the interview process, you have been asked to make a presentation to highlight what you think are the most compelling reasons you should get the position.You are to put together a PowerPoint presentation that explains all of the key components that you feel will factor into why you should get the position.
What to SubmitTo complete this assignment, you must first download the word document. Use the questions on the worksheet as your guide for the contents of your presentation.Your step-by-step breakdown of the problems, including explanations and all work shown should be present within the PowerPoint you create. If you use Excel for any of your calculations, that file must also be included. Do not submit the Word document with instructions.
Walden University Wk 4 Sampling Distributions & Confidence Intervals Paper
In this week, you will explore probability as it relates to an observed occurrence. You also will explore the concept of t ...
Walden University Wk 4 Sampling Distributions & Confidence Intervals Paper
In this week, you will explore probability as it relates to an observed occurrence. You also will explore the concept of the sampling distribution as well as confidence intervals of specific data. Finally, you explore the results of data to determine implications for social change. Learning Resources Required Readings Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications. Chapter 5, “The Normal Distribution” (pp. 151-177) Chapter 6, “Sampling and Sampling Distributions” (pp. 179-209) Chapter 7, “Estimation” (pp. 211-240) Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications. Chapter 3, “Selecting and Sampling Cases” Chapter 5, “Charts and Graphs” Chapter 11, “Editing Output” Magnusson, K. (n.d.). Welcome to Kristoffer Magnusson’s blog about R, Statistics, Psychology, Open Science, Data Visualization [blog]. Retrieved from http://rpsychologist.com/index.html As you review this web blog, select the Interpreting Confidence Intervals – new d3.js visualization link, once you select the link, follow the instructions to view the interactive for confidence intervals. This interactive will help you to visualize and understand confidence intervals. Note: This is Kristoffer Magnusson’s personal blog and his views may not necessarily reflect the views of Walden University faculty. Walden University Library. (n.d.). Course Guide and Assignment Help for RSCH 8210. Retrieved from http://academicguides.waldenu.edu/rsch8210 For help with this week’s research, see this Course Guide and related weekly assignment resources. Datasets Your instructor will post the datasets for the course in the Doc Sharing section and in an Announcement. Your instructor may also recommend using a different dataset from the ones provided here. Optional Resources Rice University, University of Houston Clear Lake, and Tufts University. (n.d.). Online Statistics Education: An Interactive Multimedia Course of Study. Retrieved from http://onlinestatbook.com/2/estimation/ci_sim.html Use this website for your practice as you consider confidence intervals and how the width changes. Also, consider why the width might be important. Skill Builders: Confidence Intervals Sampling Distributions To access these Skill Builders, navigate back to your Blackboard Course Home page, and locate “Skill Builders” in the left navigation pane. From there, click on the relevant Skill Builder link for this week. You are encouraged to click through these and all Skill Builders to gain additional practice with these concepts. Doing so will bolster your knowledge of the concepts you’re learning this week and throughout the course. Discussion: The Importance of Relationships As its name implies, confidence intervals provide a range of values, along with a level of confidence, to serve as an estimate of some unknown population value. Since it is rare to have access to the entire population, you must frequently rely on the confidence interval of the sample to make some inference about the population of interest. Before making accurate inferences to the population, we need to fully understand how the three key components of the interval—variability in the data, sample size, and confidence level—impact the width of the interval. For this Discussion, you will explore the relationship between these components and understand the trade-off between reducing risk in our confidence of estimates and increasing precision. To prepare for this Discussion: Review Chapters 6 and 7 of the Frankfort-Nachmias & Leon-Guerrero text and in Chapter 7, p. 188, consider Hispanic migration and earnings and focus on how different levels of confidence and sample size work together. Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of confidence intervals. Use the Course Guide and Assignment Help found in this week’s Learning Resources to search for a quantitative article related to confidence intervals. Using the SPSS software, General Social Survey dataset and choose a quantitative variable that interests you. Using SPSS: Take a random sample of 100. Calculate the 95% confidence interval for the variable. Calculate a 90% confidence interval. Take another random sample of 400. Calculate the 95% confidence interval for the variable. Calculate a 90% confidence interval. Post your results, the mean of Age to verify the dataset you used, and an explanation of how different levels of confidence and sample size affect the width of the confidence interval. Next, consider the statement, “Confidence intervals are underutilized” and explain what the implications might be of using or not using confidence intervals. Provide examples based on the results of your data. Also, use your research to support your findings.
SNHU Statistics Regional Real Estate Company Question
ScenarioYou have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company� ...
SNHU Statistics Regional Real Estate Company Question
ScenarioYou have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company’s Pacific region salespeople just returned to the office with a newly designed advertisement. It states that the average cost per square foot of his home sales is above the average cost per square foot in the Pacific region. He wants you to make sure he can make that statement before approving the use of the advertisement. The average cost per square foot of his home sales is $275. In order to test his claim, you collect a sample of 1,001 home sales for the Pacific region.PromptDesign a hypothesis test and interpret the results using significance level α = .05.Use the House Listing Price by Region document to help support your work on this assignment. You may also use the Descriptive Statistics in Exceland Creating Histograms in Excel tutorials for support.Specifically, you must address the following rubric criteria, using the Module Five Assignment Template.Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.Define your population parameter.Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.Specify the name of the test you will use.Identify whether it is a left-tailed, right-tailed, or two-tailed test.Identify your significance level.Data Analysis Preparations: Describe sample summary statistics, provide a histogram and summary, check assumptions, and find the test statistic and significance level.Provide the descriptive statistics (sample size, mean, median, and standard deviation).Provide a histogram of your sample.Describe your sample by writing a sentence describing the shape, center, and spread of your sample.Determine whether the conditions to perform your identified test have been met.Calculations: Calculate the p value, describe the p value and test statistic in regard to the normal curve graph, discuss how the p value relates to the significance level, and compare the p value to the significance level to reject or fail to reject the null hypothesis.Determine the appropriate test statistic, then calculate the test statistic.Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean (Pacific), and the target is 275.Calculate the p value.Note: For right-tailed, use the T.DIST.RT function in Excel, left-tailed is the T.DIST function, and two-tailed is the T.DIST.2T function. The degree of freedom is calculated by subtracting 1 from your sample size.Choose your test from the following:=T.DIST.RT([test statistic], [degree of freedom])=T.DIST([test statistic], [degree of freedom], 1)=T.DIST.2T([test statistic], [degree of freedom])Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.Test Decision: Discuss the relationship between the p value and the significance level, including a comparison between the two, and decide to reject or fail to reject the null hypothesis.Discuss how the p value relates to the significance level.Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.Guidelines for SubmissionSubmit the completed Module Five Assignment Template as a Word document that includes your response and supportive charts.
3 pages
Relief Aid In Puerto Rico
One of the reasons why relief aid is taking longer to get to Puerto Rico is the Trump administration’s slow response to ...
Relief Aid In Puerto Rico
One of the reasons why relief aid is taking longer to get to Puerto Rico is the Trump administration’s slow response to distribute relief aid on the ...
Similar Content
How has Leonhard Euler influenced geometry, math homework help
Complete the DQ questions below between 80-90 words each question. For questions 2 and 4 reply back to post.1. How has Leo...
A quadratic function is given
A quadratic function is given.h(x) = 1 − x − x2(a) Express the quadratic function in standard form...
Norwich University Cross Sectional Research Design Discussion
Research design guidelinesThe objective is to reflect about internal validity and how research design is a crucial element...
Related Tags
Book Guides
2001 A Space Odyssey
by Arthur Clarke
Jane Eyre
by Charlotte Brontë
Girl Stop Apologizing
by Rachel Hollis
The Joy Luck Club
by Amy Tan
12 Rules for Life
by Jordan Peterson
The Splendid and The Vile
by Erik Larson
The Unwinding of the Miracle
by Julie Yip-Williams
Sounds Like Titanic
by Jessica Chiccehito Hindman
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
MAT3172CBE Rasmussen G&B Consulting Game Theory Applications PP Powerpoint
InstructionsAfter working for 18 months in your analyst position at G&B Consulting, you are now being considered for a pro ...
MAT3172CBE Rasmussen G&B Consulting Game Theory Applications PP Powerpoint
InstructionsAfter working for 18 months in your analyst position at G&B Consulting, you are now being considered for a project manager position that would put you in charge of several team members. As part of the interview process, you have been asked to make a presentation to highlight what you think are the most compelling reasons you should get the position.You are to put together a PowerPoint presentation that explains all of the key components that you feel will factor into why you should get the position.
What to SubmitTo complete this assignment, you must first download the word document. Use the questions on the worksheet as your guide for the contents of your presentation.Your step-by-step breakdown of the problems, including explanations and all work shown should be present within the PowerPoint you create. If you use Excel for any of your calculations, that file must also be included. Do not submit the Word document with instructions.
Walden University Wk 4 Sampling Distributions & Confidence Intervals Paper
In this week, you will explore probability as it relates to an observed occurrence. You also will explore the concept of t ...
Walden University Wk 4 Sampling Distributions & Confidence Intervals Paper
In this week, you will explore probability as it relates to an observed occurrence. You also will explore the concept of the sampling distribution as well as confidence intervals of specific data. Finally, you explore the results of data to determine implications for social change. Learning Resources Required Readings Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications. Chapter 5, “The Normal Distribution” (pp. 151-177) Chapter 6, “Sampling and Sampling Distributions” (pp. 179-209) Chapter 7, “Estimation” (pp. 211-240) Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications. Chapter 3, “Selecting and Sampling Cases” Chapter 5, “Charts and Graphs” Chapter 11, “Editing Output” Magnusson, K. (n.d.). Welcome to Kristoffer Magnusson’s blog about R, Statistics, Psychology, Open Science, Data Visualization [blog]. Retrieved from http://rpsychologist.com/index.html As you review this web blog, select the Interpreting Confidence Intervals – new d3.js visualization link, once you select the link, follow the instructions to view the interactive for confidence intervals. This interactive will help you to visualize and understand confidence intervals. Note: This is Kristoffer Magnusson’s personal blog and his views may not necessarily reflect the views of Walden University faculty. Walden University Library. (n.d.). Course Guide and Assignment Help for RSCH 8210. Retrieved from http://academicguides.waldenu.edu/rsch8210 For help with this week’s research, see this Course Guide and related weekly assignment resources. Datasets Your instructor will post the datasets for the course in the Doc Sharing section and in an Announcement. Your instructor may also recommend using a different dataset from the ones provided here. Optional Resources Rice University, University of Houston Clear Lake, and Tufts University. (n.d.). Online Statistics Education: An Interactive Multimedia Course of Study. Retrieved from http://onlinestatbook.com/2/estimation/ci_sim.html Use this website for your practice as you consider confidence intervals and how the width changes. Also, consider why the width might be important. Skill Builders: Confidence Intervals Sampling Distributions To access these Skill Builders, navigate back to your Blackboard Course Home page, and locate “Skill Builders” in the left navigation pane. From there, click on the relevant Skill Builder link for this week. You are encouraged to click through these and all Skill Builders to gain additional practice with these concepts. Doing so will bolster your knowledge of the concepts you’re learning this week and throughout the course. Discussion: The Importance of Relationships As its name implies, confidence intervals provide a range of values, along with a level of confidence, to serve as an estimate of some unknown population value. Since it is rare to have access to the entire population, you must frequently rely on the confidence interval of the sample to make some inference about the population of interest. Before making accurate inferences to the population, we need to fully understand how the three key components of the interval—variability in the data, sample size, and confidence level—impact the width of the interval. For this Discussion, you will explore the relationship between these components and understand the trade-off between reducing risk in our confidence of estimates and increasing precision. To prepare for this Discussion: Review Chapters 6 and 7 of the Frankfort-Nachmias & Leon-Guerrero text and in Chapter 7, p. 188, consider Hispanic migration and earnings and focus on how different levels of confidence and sample size work together. Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of confidence intervals. Use the Course Guide and Assignment Help found in this week’s Learning Resources to search for a quantitative article related to confidence intervals. Using the SPSS software, General Social Survey dataset and choose a quantitative variable that interests you. Using SPSS: Take a random sample of 100. Calculate the 95% confidence interval for the variable. Calculate a 90% confidence interval. Take another random sample of 400. Calculate the 95% confidence interval for the variable. Calculate a 90% confidence interval. Post your results, the mean of Age to verify the dataset you used, and an explanation of how different levels of confidence and sample size affect the width of the confidence interval. Next, consider the statement, “Confidence intervals are underutilized” and explain what the implications might be of using or not using confidence intervals. Provide examples based on the results of your data. Also, use your research to support your findings.
SNHU Statistics Regional Real Estate Company Question
ScenarioYou have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company� ...
SNHU Statistics Regional Real Estate Company Question
ScenarioYou have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company’s Pacific region salespeople just returned to the office with a newly designed advertisement. It states that the average cost per square foot of his home sales is above the average cost per square foot in the Pacific region. He wants you to make sure he can make that statement before approving the use of the advertisement. The average cost per square foot of his home sales is $275. In order to test his claim, you collect a sample of 1,001 home sales for the Pacific region.PromptDesign a hypothesis test and interpret the results using significance level α = .05.Use the House Listing Price by Region document to help support your work on this assignment. You may also use the Descriptive Statistics in Exceland Creating Histograms in Excel tutorials for support.Specifically, you must address the following rubric criteria, using the Module Five Assignment Template.Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.Define your population parameter.Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.Specify the name of the test you will use.Identify whether it is a left-tailed, right-tailed, or two-tailed test.Identify your significance level.Data Analysis Preparations: Describe sample summary statistics, provide a histogram and summary, check assumptions, and find the test statistic and significance level.Provide the descriptive statistics (sample size, mean, median, and standard deviation).Provide a histogram of your sample.Describe your sample by writing a sentence describing the shape, center, and spread of your sample.Determine whether the conditions to perform your identified test have been met.Calculations: Calculate the p value, describe the p value and test statistic in regard to the normal curve graph, discuss how the p value relates to the significance level, and compare the p value to the significance level to reject or fail to reject the null hypothesis.Determine the appropriate test statistic, then calculate the test statistic.Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean (Pacific), and the target is 275.Calculate the p value.Note: For right-tailed, use the T.DIST.RT function in Excel, left-tailed is the T.DIST function, and two-tailed is the T.DIST.2T function. The degree of freedom is calculated by subtracting 1 from your sample size.Choose your test from the following:=T.DIST.RT([test statistic], [degree of freedom])=T.DIST([test statistic], [degree of freedom], 1)=T.DIST.2T([test statistic], [degree of freedom])Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.Test Decision: Discuss the relationship between the p value and the significance level, including a comparison between the two, and decide to reject or fail to reject the null hypothesis.Discuss how the p value relates to the significance level.Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.Guidelines for SubmissionSubmit the completed Module Five Assignment Template as a Word document that includes your response and supportive charts.
3 pages
Relief Aid In Puerto Rico
One of the reasons why relief aid is taking longer to get to Puerto Rico is the Trump administration’s slow response to ...
Relief Aid In Puerto Rico
One of the reasons why relief aid is taking longer to get to Puerto Rico is the Trump administration’s slow response to distribute relief aid on the ...
Earn money selling
your Study Documents