Description
1.
Determine the domain of the function.
(5 points)
2.
Use the graph of f to estimate the local maximum and local minimum.
(5 points)
3.
Determine algebraically whether the function is even, odd, or neither even nor odd.
f(x) = -3x4 - 2x - 5 (5 points)
4.
State the vertical asymptote of the rational function.
f(x) = (5 points)
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Find the critical value za/2 that corresponds to the given confidence level, Statistics help
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Find the critical value za/2 that corresponds to the given confidence level, Statistics help
1. Find the critical value za/2 that corresponds to the given confidence level.2. Express the confidence interval 0.222 <p<0.888 in the form p^+E. P+E=_+_3. A research institute poll asked respondents if they acted to annoy a bad driver. In the poll n=2503 and x=1177 who said that they honked. Find the best point estimate of the population proportion p?4. Use the given data to find the minimum sample size required to estimate a population proportion or percentage. Margin of error:0.08 confidence level 90% p and q unknown. n=?5. A student wants to estimate the mean score of all college students for a particular exam. First use the range rule of thumb to make a rough estimate of the standard deviation of those scores. Possible scores range from 100 to 1800. Use technology and the estimated standard deviation to determine the sample size corresponding to a 99% confidence level and a margin of error of 100 points. What isn't quite right with this exercise? The range rule of thumb estimate for the standard deviation is?6. Express the confidence interval (0.034,0.122) in the form of p-E<p<p+E.=_<p<_?7. A clinical trial tests a method designed to increase the probability of conceiving a girl. In the study 620 babies were born, and 341 of them were girls. Use the sample data to construct a 99% confidence interval estimate of the percentage of girls born. Based on theresult, does the method appear to be effective? _<p<_?8. An online site presented thisquestion, "Would the recent norovirus outbreak deter you from taking a cruise?" Among the 34,575 people who responded 62% answered "yes." Use the sample data to construct a 90% confidence interval estimate for the proportion of the population of all people who would respond "yes" to that question. Does the confidence interval provide a good estimate of the population proportion? _<p<_?9. In a poll of 546 human resourceprofessionals 43.0% said that body piercings and tattoos were big grooming red flags. Among the 546 human resource professionals who were surveyed, how many of them said that body piercings and tattoos were big grooming red flags?10. Many states are carefully considering steps that would help them collect sales taxes on items purchased through the Internet. How many randomly selected sales transactions must be surveyed to determine the percentage that transpired over theInternet? Assume that we want to be 99% confident that the sample percentage is within two percentage points of the true population percentage for all sales transactions. n=?11. Use the given data to find the minimum sample size required to estimate a population proportion or percentage. Margin of error: three percentage points; confidence level 95% from a prior study p is estimated by the decimal equivalent of 48% n=?12. A researcher wishes to estimate the proportion of adults who have high-speed Internet access. What size sample should be obtained if she wishes the estimate to be within 0.05 with 95% confidence if: a: she uses a previous estimate of 0.58? b: she does not use any prior estimates?13. The brand manager for a brand of toothpaste must plan a campaign designed to increase brand recognition. He wants to first determine the percentage of adults who have heard of the brand. How many adults must he survey in order to be 90% confident that his estimate is within fivefive percentage points of the true population percentage. Assume that nothing is known about the percentage of adults who have heard of the brand. n=?
BUS 520 TUI Organic Food Simple Linear Regression Discussion Analysis & Sheet
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BUS 520 TUI Organic Food Simple Linear Regression Discussion Analysis & Sheet
MODULE 3 CASESIMPLE LINEAR REGRESSIONAssignment OverviewYou are a consultant who works for the Diligent Consulting Group. In this Case, you are engaged on a consulting basis by Loving Organic Foods. In order to get a better idea of what might have motivated customers’ buying habits you are asked to analyze the factors that impact organic food expenditures. You opt to do this using linear regression analysis.Case AssignmentUsing Excel, generate regression estimates for the following model:Annual Amount Spent on Organic Food = α + bAgeAfter you have reviewed the results from the estimation, write a report to your boss that interprets the results that you obtained. Please include the following in your report:The regression output you generated in Excel.Your interpretation of the coefficient of determination (r-squared).Your interpretation of the coefficient estimate for the Age variable.Your interpretation of the statistical significance of the coefficient estimate for the Age variable.The regression equation with estimates substituted into the equation. (Note: Once the estimates are substituted into the regression equation, it should take a form similar to this: y = 10 +2x)A discussion of how this equation in item 5 above can be used to estimate annual expenditures on organic food.An estimate of “Annual Amount Spent on Organic Food” for the average consumer. (Note: You will need to substitute the average age into the regression equation for x, the intercept for α, and solve for y.)Data: Download the Excel-based data file: BUS520 Module 3 Case.Assignment ExpectationsWritten ReportLength requirements: 3–4 pages minimum (not including Cover and Reference pages). NOTE: You must submit 3–4 pages of written discussion and analysis.Provide a brief introduction to/background of the problem, similar to the introduction/background you provided in Module 1 and 2 Case submissions.Provide a brief discussion of linear regression analysis, including the value of using this estimation technique.Provide a written analysis that addresses each of requirements listed under the “Case Assignment” section.Write clearly, simply, and logically. Use double-spaced, black Verdana or Times Roman font in 12 pt. type size.Please use keywords as headings to organize the report.Avoid redundancy and general statements such as "All organizations exist to make a profit." Make every sentence count.Paraphrase the facts using your own words and ideas, employing quotes sparingly. Quotes, if absolutely necessary, should rarely exceed five words.Upload both your written report and Excel file to the Case 3 Dropbox.Module 3 - BackgroundSIMPLE LINEAR REGRESSIONRequired ReadingThe primary resource for this module is Introductory Business Statistics by Alexander, Illowsky, and Dean.Alexander, H., Illowsky, B., & Dean, S. (2017). Introductory Business Statistics. Openstax. Retrieved from https://openstax.org/details/books/introductory-business-statisticsFor Module 3, you should read through the following material in this textbook.Chapter 13: Linear Regression and CorrelationSections 13.1, 13.2, 13.3 and 13.7 onlyThis chapter introduces correlation coefficients and linear regression analysis. Section 13.7 explains how to create regression estimates in Excel. There is also tutorial link below that explains how to use that tool. We will cover the remaining sections in Module 4.You are now familiar with several tools in the Analysis Toolpak. Regression analysis is just another one of those tools. Please review the following tutorial for help in generating regression estimates in Excel:https://www.excel-easy.com/examples/regression.html
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Find the critical value za/2 that corresponds to the given confidence level, Statistics help
1. Find the critical value za/2 that corresponds to the given confidence level.2. Express the confidence interval 0.222 &l ...
Find the critical value za/2 that corresponds to the given confidence level, Statistics help
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BUS 520 TUI Organic Food Simple Linear Regression Discussion Analysis & Sheet
MODULE 3 CASESIMPLE LINEAR REGRESSIONAssignment OverviewYou are a consultant who works for the Diligent Consulting Group. In this Case, you are engaged on a consulting basis by Loving Organic Foods. In order to get a better idea of what might have motivated customers’ buying habits you are asked to analyze the factors that impact organic food expenditures. You opt to do this using linear regression analysis.Case AssignmentUsing Excel, generate regression estimates for the following model:Annual Amount Spent on Organic Food = α + bAgeAfter you have reviewed the results from the estimation, write a report to your boss that interprets the results that you obtained. Please include the following in your report:The regression output you generated in Excel.Your interpretation of the coefficient of determination (r-squared).Your interpretation of the coefficient estimate for the Age variable.Your interpretation of the statistical significance of the coefficient estimate for the Age variable.The regression equation with estimates substituted into the equation. (Note: Once the estimates are substituted into the regression equation, it should take a form similar to this: y = 10 +2x)A discussion of how this equation in item 5 above can be used to estimate annual expenditures on organic food.An estimate of “Annual Amount Spent on Organic Food” for the average consumer. (Note: You will need to substitute the average age into the regression equation for x, the intercept for α, and solve for y.)Data: Download the Excel-based data file: BUS520 Module 3 Case.Assignment ExpectationsWritten ReportLength requirements: 3–4 pages minimum (not including Cover and Reference pages). NOTE: You must submit 3–4 pages of written discussion and analysis.Provide a brief introduction to/background of the problem, similar to the introduction/background you provided in Module 1 and 2 Case submissions.Provide a brief discussion of linear regression analysis, including the value of using this estimation technique.Provide a written analysis that addresses each of requirements listed under the “Case Assignment” section.Write clearly, simply, and logically. Use double-spaced, black Verdana or Times Roman font in 12 pt. type size.Please use keywords as headings to organize the report.Avoid redundancy and general statements such as "All organizations exist to make a profit." Make every sentence count.Paraphrase the facts using your own words and ideas, employing quotes sparingly. Quotes, if absolutely necessary, should rarely exceed five words.Upload both your written report and Excel file to the Case 3 Dropbox.Module 3 - BackgroundSIMPLE LINEAR REGRESSIONRequired ReadingThe primary resource for this module is Introductory Business Statistics by Alexander, Illowsky, and Dean.Alexander, H., Illowsky, B., & Dean, S. (2017). Introductory Business Statistics. Openstax. Retrieved from https://openstax.org/details/books/introductory-business-statisticsFor Module 3, you should read through the following material in this textbook.Chapter 13: Linear Regression and CorrelationSections 13.1, 13.2, 13.3 and 13.7 onlyThis chapter introduces correlation coefficients and linear regression analysis. Section 13.7 explains how to create regression estimates in Excel. There is also tutorial link below that explains how to use that tool. We will cover the remaining sections in Module 4.You are now familiar with several tools in the Analysis Toolpak. Regression analysis is just another one of those tools. Please review the following tutorial for help in generating regression estimates in Excel:https://www.excel-easy.com/examples/regression.html
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Week 8 Discussion 2. Response.edited
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In response to Gwen Mendez discussion post, the author reveals of utilizing a DC network to locate various forms of information regarding 10 strategic ...
UCLA Statistical Significance Meaningfulness & Confidence Level Discussion
To prepare for this Discussion: Review the Learning Resources related to hypothesis testing, meaningfulness, and statisti ...
UCLA Statistical Significance Meaningfulness & Confidence Level Discussion
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1 page
Probanswe
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