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Solve x2 - 8x + 5 = 0 using the completing-the-square method.
x = -4V11
x = 4 + 111
X= 4+5
x = 415
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Assignment 1/2
You have had a chance to see tools of persuasion in the Three Proofs and to examine visual arguments in methods of persuas ...
Assignment 1/2
You have had a chance to see tools of persuasion in the Three Proofs and to examine visual arguments in methods of persuasion. For this Assignment, you will compose a critical thinking analysis of two television commercials. The paper should be at least 600 words long.
You will select two television or online commercials for the project. If you do not regularly watch television, you can still complete the Assignment by searching YouTube® or individual company websites to find advertisements for products, goods, or services. Choose one commercial that you think is effective and persuasive, and another that you think fails to make a strong argument.
In the same document, you will conduct two analyses. Part I is on the effective and persuasive commercial, and Part II will cover the less persuasive commercial. You should answer the following four sections for each. Answer all of the questions for Part I first, then answer all of the questions for Part II.
First, you will describe what happens in the commercial. Assume that the reader has not seen it. Explain the use of words, images, and sounds. What do you see?
Next, use the premises–conclusion format to offer about three to four premises that lead to what you believe is the conclusion of the commercial. Label each premise and the conclusion. Then explain why you labeled each part as such. What makes each section a reflection of a premise (evidence, reason) or the conclusion?
Identify the use of ethos, pathos, and logos in the commercial. Use and cite the definitions of each term from the reading or your research. Discuss what the commercials have done well or what is lacking.
Finally, offer two suggestions that would strengthen the commercial. What would make the effective commercial even stronger? What would cause this ineffective commercial to become persuasive? Explain why this would make a difference in the outcome for the commercial.
Module 5 SPSS Data Interpretation, assignment help
Details:A between-group one-way analysis of variance (ANOVA) compares the mean values of more than two groups. In this as ...
Module 5 SPSS Data Interpretation, assignment help
Details:A between-group one-way analysis of variance (ANOVA) compares the mean values of more than two groups. In this assignment, you will review the SPSS output for an ANOVA and use it to answer questions about the means of the groups.General Requirements: Use the following information to ensure successful completion of the assignment:Review "SPSS Access Instructions" for information on how to access SPSS for this assignment.Download “SPSS Data Set Legend" for use with this assignment.Download "Module 5 SPSS Output" for use with this assignment.Directions:Review the SPSS output file, which reports the results of the between-group (independent group) one-way ANOVA to see if the mean alcohol by volume (%) of the beer differs as a function of quality of the brand as rated by a beer expert (in 2012). Answer the following questions based on your observations of the SPSS output file:Looking at the descriptives (first information), do you see differences in the mean alcohol contents for the three levels of quality? Explain.Looking at the Test for Homogeneity of Variances (Levene Statistic), is it reasonable to proceed with the ANOVA? Is the assumption met, or violated? How do you know?Looking at the results of the ANOVA, is there a significant difference in the mean alcohol content for beers in the three quality groups? How do you know? Write the results in the following format: F(df value) = ___, p value = ______.The pairwise post hoc tests indicate which quality groups' means are statistically significantly different for the others. Using the results of the Tukey HSD post hoc test, what two quality rating groups had significantly different mean alcohol by volume levels? How do you know?Please complete the assignment as required and please use the appropriate references , if applicable, and cite in APA 6th edition format. Please see the attached documentation for completion of assignment.
Introduction to statistics/ probability theory
Assignment OverviewSuppose that a 2012 National Health Interview Survey gives the number of adults in the United States wh ...
Introduction to statistics/ probability theory
Assignment OverviewSuppose that a 2012 National Health Interview Survey gives the number of adults in the United States which gives the number of adults in the United States (reported in thousands) classified by their age group, and whether or not respondents have ever been tested for HIV. Here are the dataAge group (yrs)Tested. Never Tested18-44. 50,080. 56,40545-64. 23,768. 48,537 65-74. 2,694. 15,1675 years and older. 1,247. 14,663Total. 77,789. 134,767Discuss probability. What is its history? What is the theory of probability? How is it calculated? What are the advantages and disadvantages of using this technique?
Identify and discuss the two major categories of probability interpretations, whose adherents possess conflicting views about the fundamental nature of probability.
Based on this survey, what is the probability that a randomly selected American adult has never been tested? Show your work. Hint: using the data in the two total rows, this would be calculated as p (NT) /( p (NT) + p (T)), where p is probability.
What proportion of 18- to 44-year-old Americans have never been tested for HIV? Hint: using the values in the 18–44 cells, this would be calculated as p (NT) / ( p (NT) + p (T)), where p is probability. Show your work.
Submit your (2-3 pages) paper by the end of this module.INTRODUCTION TO HYPOTHESIS TESTINGRequired Reading and ResourcesCook, A., Netuveli, G., & Sheikh, A. (2004). Chapter 4: Statistical inference. In Basic skills in statistics: A guide for healthcare professionals (pp. 40-52). London, GBR: Class Publishing. eISBN: 9781859591291.Davis, R., & Mukamal, K. (2006). Statistical primer for cardiovascular research: Hypothesis testing. Circulation, 114(10), 1078-1082. Retrieved from http://circ.ahajournals.org/content/114/10/1078.fu...Norman, G. R., & Streiner, D. L. (2014). Section the first: The nature of data and statistics: Chapter 6: Elements of statistical inference. In Biostatistics: The bare essentials [4th ed., e-Book]. Shelton, Connecticut: PMPH-USA, Ltd. eISBN-13: 978-1-60795-279-4. Available in the Trident Online Library EBSCO eBook Collection.Additional Reading and Resources (Optional)McDonald, J. H. (2009). Basic concepts of hypothesis testing. Retrieved from http://www.biostathandbook.com/hypothesistesting.h...Johnson, L. (2008). Principles of hypothesis testing for public health. National Center for Complementary and Alternative Medicine. Retrieved from https://ippcr.nihtraining.com/handouts/2011/Hypoth...Statistics Learning Centre. (2011, December 5). Hypothesis tests, p-value - Statistics help [video file]. Retrieved from Statistics Learning Centre. (2011, October 31). Understanding the p-value - Statistics help [video file]. Retrieved from Stensson, E. (2012, Apr.) Basic statistics tutorial 45 hypothesis testing (one-sided), sample and population mean (z) [video file]. Retrieved from
9-2 Final Project Submission: Statistical Analysis Report
InstructionsSubmit your statistical analysis report and recommendations to management. It should be a complete, polished a ...
9-2 Final Project Submission: Statistical Analysis Report
InstructionsSubmit your statistical analysis report and recommendations to management. It should be a complete, polished artifact containing all of the critical elements of the final product. It should reflect the incorporation of feedback gained throughout the course.Note that you will need to refer to the scenario in the article "A-Cat Corp.: Forecasting." See the syllabus for information on accessing the article.For additional details, please refer to the Final Project Guidelines and Rubric document and the Final Project Case Addendumdocument.
BADM 7020 LSU Mod 4 ABC Company Factors & Parameter Estimates for 4 Biggest Factors Paper
Module 4 AssignmentIn this assignment, you will apply what you've learned in this module about the designs of experiments ...
BADM 7020 LSU Mod 4 ABC Company Factors & Parameter Estimates for 4 Biggest Factors Paper
Module 4 AssignmentIn this assignment, you will apply what you've learned in this module about the designs of experiments to a sample data set and scenario.Assignment InstructionsConsider the following: The ABC Company wants to optimize the response (click rate) to their online ads. After a brainstorming session, thirteen factors were identified as potentially having an effect on the response (click) rate. The table below lists the 13 factors and the two levels that should be considered. This data is available in the DOE Assignment JMP file attached below. Identified Response FactorsTeaser OfferTelephoneNumberGraphicFont SizeAdvertisingChanelMessageTypeHeadlineLayoutProductselectionGift OfferProduc InfoColorSchemaDiscountNumber ofClicksLevel 1YesYesYesLargeYesAHeadline 1StandardFeature AYesVersion AAYesLevel 2NoNoNoSmallNoBHeadline 2CreativeFeature BNoVersion BBNo1YesYesYesLargeYesAHeadline 1StandardFeature AYesVersion AAYes522NoYesNoLargeYesBHeadline2CreativeFeature AYesVersion BANo383YesNoNoSmallYesBHeadline 1StandardFeature BYesVersion BBNo424YesYesYesSmallNoBHeadline 1CreativeFeature ANoVersion BBYes1345NoYesYesLargeNoBHeadline 1CreativeFeature BYesVersion BBYes1046NoNoNoLargeYesAHeadline 1CreativeFeature ANoVersion ABYes607NoNoYesSmallYesAHeadline 2CreativeFeature BYesVersion BAYes618NoNoYesLargeNoBHeadline 2StandardFeature BNoVersion ABNo689YesNoNoLargeYesBHeadline 1StandardFeature BNoVersion BAYes5710NoYesNoSmallYesAHeadline 1CreativeFeature BNoVersion ABNo3011YesNoNoSmallNoBHeadline 2CreativeFeature ANoVersion AAYes10812NoYesNoSmallNoBHeadline 1StandardFeature AYesVersion AANo3913YesNoYesSmallNoAHeadline 1CreativeFeature BYesVersion AANo4014YesYesNoLargeNoAHeadline 2CreativeFeature BNoVersion BANo4915YesYesYesSmallYesAHeadline 2StandardFeature ANoVersion BBNo3716YesYesNoLargeNoAHeadline 2StandardFeature BYesVersion ABYes9917NoYesYesSmallYesBHeadline 2StandardFeature BNoVersion AAYes8618NoNoYesLargeNoAHeadline 1StandardFeature ANoVersion BANo4319YesNoYesLargeYesBHeadline 2CreativeFeature AYesVersion ABNo4720NoNoNoSmallNoAHeadline 2StandardFeature AYesVersion BBYes104Discuss how you approach the problems and answer the questions along the way.1. How many treatments do you need at a minimum to estimate 13 main effects and the overall mean? Find a design using JMP DOE>Classical Designs>Screening Designs add 13 factors and find a design.What is the minimum number of treatments (runs)?What is the fractional factorial design with the smallest number of runs you can use for our problem?Which other design could you choose?2. Once you have a design matrix you would carry out the treatments and collect the response for each treatment (run). To exercise the analysis of a design I provided you with a 20 run design (which is the Packett-Burman design shown ion your list) which has responses provided in the JMP file. Use the design matrix provided in the DOE_Assignment_5_Click(2).jmp file with the number of clicks as the response variable. Use DOE>Classical>Two Level Screening> Fit Two Level Screening . Which factors are statistically significant at p<=0.05? Highlight the statistically significant factor rows (use individual p) and click run model. Interpret the output.
3. To evaluate the current design matrix with just the few main factors you determined to be significant, use DOE>Design Diagnostics>Evaluate Design. Select only the statistically significant factors for the evaluation. Look at the Alias Matrix to see what the problems are with using the same 20 runs to estimate the interaction effects (confounding of main effects and interaction effects). Specifically, we are interested in the 2-factor interaction between the biggest effects. What main factors are confounded with this interaction and what is the magnitude? Interpret the finding. (Note: find the column of the 2-factor interaction which had the largest effect. Then see what row has a number different from zero and what the main effect in that row is. The larger the absolute value the larger is the confounding. )4. Now we want to evaluate the data based on our discovery that the 2-factor interaction is confounded with another important factor. Go back to the open window you had before (DOE>Classical>Two Level Screening> Fit Two Level Screening ) and select the statistically significant factors plus the 2-factor interaction of the two biggest effects. Click Run Model again. Interpret the output. What is likely happening?5. Make a final selection on the window (DOE>Classical>Two Level Screening> Fit Two Level Screening) of what you think is the true likely factors and or interactions. Then click Run Model again. Interpret final model. Prepare the report using the following formatting guidelines:1 page, single-spaced report using 0.5 margins and two-column format1 page for appendixInclude title of report, then FirstName, LastName, ISDS course #, Assignment #, date (00/00/00)10 pt Font Calibri or Times New RomanJustified as sample reportCreate headings for each sectionList any references used (e.g. Module 1 Resources)Include a title for your report e.g. "Text Analysis of Workers Compensation Claims" and create headings for each sectionInclude supporting relevant figures from the analysis in your AppendixSubmit as pdf with filename first name initial last name and assignment number (for instance HSchneider#1)Be sure to review the Assignment Rubric and Assignment Example attached below. If you have any questions, please post in the Module Questions Forum.
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Assignment 1/2
You have had a chance to see tools of persuasion in the Three Proofs and to examine visual arguments in methods of persuas ...
Assignment 1/2
You have had a chance to see tools of persuasion in the Three Proofs and to examine visual arguments in methods of persuasion. For this Assignment, you will compose a critical thinking analysis of two television commercials. The paper should be at least 600 words long.
You will select two television or online commercials for the project. If you do not regularly watch television, you can still complete the Assignment by searching YouTube® or individual company websites to find advertisements for products, goods, or services. Choose one commercial that you think is effective and persuasive, and another that you think fails to make a strong argument.
In the same document, you will conduct two analyses. Part I is on the effective and persuasive commercial, and Part II will cover the less persuasive commercial. You should answer the following four sections for each. Answer all of the questions for Part I first, then answer all of the questions for Part II.
First, you will describe what happens in the commercial. Assume that the reader has not seen it. Explain the use of words, images, and sounds. What do you see?
Next, use the premises–conclusion format to offer about three to four premises that lead to what you believe is the conclusion of the commercial. Label each premise and the conclusion. Then explain why you labeled each part as such. What makes each section a reflection of a premise (evidence, reason) or the conclusion?
Identify the use of ethos, pathos, and logos in the commercial. Use and cite the definitions of each term from the reading or your research. Discuss what the commercials have done well or what is lacking.
Finally, offer two suggestions that would strengthen the commercial. What would make the effective commercial even stronger? What would cause this ineffective commercial to become persuasive? Explain why this would make a difference in the outcome for the commercial.
Module 5 SPSS Data Interpretation, assignment help
Details:A between-group one-way analysis of variance (ANOVA) compares the mean values of more than two groups. In this as ...
Module 5 SPSS Data Interpretation, assignment help
Details:A between-group one-way analysis of variance (ANOVA) compares the mean values of more than two groups. In this assignment, you will review the SPSS output for an ANOVA and use it to answer questions about the means of the groups.General Requirements: Use the following information to ensure successful completion of the assignment:Review "SPSS Access Instructions" for information on how to access SPSS for this assignment.Download “SPSS Data Set Legend" for use with this assignment.Download "Module 5 SPSS Output" for use with this assignment.Directions:Review the SPSS output file, which reports the results of the between-group (independent group) one-way ANOVA to see if the mean alcohol by volume (%) of the beer differs as a function of quality of the brand as rated by a beer expert (in 2012). Answer the following questions based on your observations of the SPSS output file:Looking at the descriptives (first information), do you see differences in the mean alcohol contents for the three levels of quality? Explain.Looking at the Test for Homogeneity of Variances (Levene Statistic), is it reasonable to proceed with the ANOVA? Is the assumption met, or violated? How do you know?Looking at the results of the ANOVA, is there a significant difference in the mean alcohol content for beers in the three quality groups? How do you know? Write the results in the following format: F(df value) = ___, p value = ______.The pairwise post hoc tests indicate which quality groups' means are statistically significantly different for the others. Using the results of the Tukey HSD post hoc test, what two quality rating groups had significantly different mean alcohol by volume levels? How do you know?Please complete the assignment as required and please use the appropriate references , if applicable, and cite in APA 6th edition format. Please see the attached documentation for completion of assignment.
Introduction to statistics/ probability theory
Assignment OverviewSuppose that a 2012 National Health Interview Survey gives the number of adults in the United States wh ...
Introduction to statistics/ probability theory
Assignment OverviewSuppose that a 2012 National Health Interview Survey gives the number of adults in the United States which gives the number of adults in the United States (reported in thousands) classified by their age group, and whether or not respondents have ever been tested for HIV. Here are the dataAge group (yrs)Tested. Never Tested18-44. 50,080. 56,40545-64. 23,768. 48,537 65-74. 2,694. 15,1675 years and older. 1,247. 14,663Total. 77,789. 134,767Discuss probability. What is its history? What is the theory of probability? How is it calculated? What are the advantages and disadvantages of using this technique?
Identify and discuss the two major categories of probability interpretations, whose adherents possess conflicting views about the fundamental nature of probability.
Based on this survey, what is the probability that a randomly selected American adult has never been tested? Show your work. Hint: using the data in the two total rows, this would be calculated as p (NT) /( p (NT) + p (T)), where p is probability.
What proportion of 18- to 44-year-old Americans have never been tested for HIV? Hint: using the values in the 18–44 cells, this would be calculated as p (NT) / ( p (NT) + p (T)), where p is probability. Show your work.
Submit your (2-3 pages) paper by the end of this module.INTRODUCTION TO HYPOTHESIS TESTINGRequired Reading and ResourcesCook, A., Netuveli, G., & Sheikh, A. (2004). Chapter 4: Statistical inference. In Basic skills in statistics: A guide for healthcare professionals (pp. 40-52). London, GBR: Class Publishing. eISBN: 9781859591291.Davis, R., & Mukamal, K. (2006). Statistical primer for cardiovascular research: Hypothesis testing. Circulation, 114(10), 1078-1082. Retrieved from http://circ.ahajournals.org/content/114/10/1078.fu...Norman, G. R., & Streiner, D. L. (2014). Section the first: The nature of data and statistics: Chapter 6: Elements of statistical inference. In Biostatistics: The bare essentials [4th ed., e-Book]. Shelton, Connecticut: PMPH-USA, Ltd. eISBN-13: 978-1-60795-279-4. Available in the Trident Online Library EBSCO eBook Collection.Additional Reading and Resources (Optional)McDonald, J. H. (2009). Basic concepts of hypothesis testing. Retrieved from http://www.biostathandbook.com/hypothesistesting.h...Johnson, L. (2008). Principles of hypothesis testing for public health. National Center for Complementary and Alternative Medicine. Retrieved from https://ippcr.nihtraining.com/handouts/2011/Hypoth...Statistics Learning Centre. (2011, December 5). Hypothesis tests, p-value - Statistics help [video file]. Retrieved from Statistics Learning Centre. (2011, October 31). Understanding the p-value - Statistics help [video file]. Retrieved from Stensson, E. (2012, Apr.) Basic statistics tutorial 45 hypothesis testing (one-sided), sample and population mean (z) [video file]. Retrieved from
9-2 Final Project Submission: Statistical Analysis Report
InstructionsSubmit your statistical analysis report and recommendations to management. It should be a complete, polished a ...
9-2 Final Project Submission: Statistical Analysis Report
InstructionsSubmit your statistical analysis report and recommendations to management. It should be a complete, polished artifact containing all of the critical elements of the final product. It should reflect the incorporation of feedback gained throughout the course.Note that you will need to refer to the scenario in the article "A-Cat Corp.: Forecasting." See the syllabus for information on accessing the article.For additional details, please refer to the Final Project Guidelines and Rubric document and the Final Project Case Addendumdocument.
BADM 7020 LSU Mod 4 ABC Company Factors & Parameter Estimates for 4 Biggest Factors Paper
Module 4 AssignmentIn this assignment, you will apply what you've learned in this module about the designs of experiments ...
BADM 7020 LSU Mod 4 ABC Company Factors & Parameter Estimates for 4 Biggest Factors Paper
Module 4 AssignmentIn this assignment, you will apply what you've learned in this module about the designs of experiments to a sample data set and scenario.Assignment InstructionsConsider the following: The ABC Company wants to optimize the response (click rate) to their online ads. After a brainstorming session, thirteen factors were identified as potentially having an effect on the response (click) rate. The table below lists the 13 factors and the two levels that should be considered. This data is available in the DOE Assignment JMP file attached below. Identified Response FactorsTeaser OfferTelephoneNumberGraphicFont SizeAdvertisingChanelMessageTypeHeadlineLayoutProductselectionGift OfferProduc InfoColorSchemaDiscountNumber ofClicksLevel 1YesYesYesLargeYesAHeadline 1StandardFeature AYesVersion AAYesLevel 2NoNoNoSmallNoBHeadline 2CreativeFeature BNoVersion BBNo1YesYesYesLargeYesAHeadline 1StandardFeature AYesVersion AAYes522NoYesNoLargeYesBHeadline2CreativeFeature AYesVersion BANo383YesNoNoSmallYesBHeadline 1StandardFeature BYesVersion BBNo424YesYesYesSmallNoBHeadline 1CreativeFeature ANoVersion BBYes1345NoYesYesLargeNoBHeadline 1CreativeFeature BYesVersion BBYes1046NoNoNoLargeYesAHeadline 1CreativeFeature ANoVersion ABYes607NoNoYesSmallYesAHeadline 2CreativeFeature BYesVersion BAYes618NoNoYesLargeNoBHeadline 2StandardFeature BNoVersion ABNo689YesNoNoLargeYesBHeadline 1StandardFeature BNoVersion BAYes5710NoYesNoSmallYesAHeadline 1CreativeFeature BNoVersion ABNo3011YesNoNoSmallNoBHeadline 2CreativeFeature ANoVersion AAYes10812NoYesNoSmallNoBHeadline 1StandardFeature AYesVersion AANo3913YesNoYesSmallNoAHeadline 1CreativeFeature BYesVersion AANo4014YesYesNoLargeNoAHeadline 2CreativeFeature BNoVersion BANo4915YesYesYesSmallYesAHeadline 2StandardFeature ANoVersion BBNo3716YesYesNoLargeNoAHeadline 2StandardFeature BYesVersion ABYes9917NoYesYesSmallYesBHeadline 2StandardFeature BNoVersion AAYes8618NoNoYesLargeNoAHeadline 1StandardFeature ANoVersion BANo4319YesNoYesLargeYesBHeadline 2CreativeFeature AYesVersion ABNo4720NoNoNoSmallNoAHeadline 2StandardFeature AYesVersion BBYes104Discuss how you approach the problems and answer the questions along the way.1. How many treatments do you need at a minimum to estimate 13 main effects and the overall mean? Find a design using JMP DOE>Classical Designs>Screening Designs add 13 factors and find a design.What is the minimum number of treatments (runs)?What is the fractional factorial design with the smallest number of runs you can use for our problem?Which other design could you choose?2. Once you have a design matrix you would carry out the treatments and collect the response for each treatment (run). To exercise the analysis of a design I provided you with a 20 run design (which is the Packett-Burman design shown ion your list) which has responses provided in the JMP file. Use the design matrix provided in the DOE_Assignment_5_Click(2).jmp file with the number of clicks as the response variable. Use DOE>Classical>Two Level Screening> Fit Two Level Screening . Which factors are statistically significant at p<=0.05? Highlight the statistically significant factor rows (use individual p) and click run model. Interpret the output.
3. To evaluate the current design matrix with just the few main factors you determined to be significant, use DOE>Design Diagnostics>Evaluate Design. Select only the statistically significant factors for the evaluation. Look at the Alias Matrix to see what the problems are with using the same 20 runs to estimate the interaction effects (confounding of main effects and interaction effects). Specifically, we are interested in the 2-factor interaction between the biggest effects. What main factors are confounded with this interaction and what is the magnitude? Interpret the finding. (Note: find the column of the 2-factor interaction which had the largest effect. Then see what row has a number different from zero and what the main effect in that row is. The larger the absolute value the larger is the confounding. )4. Now we want to evaluate the data based on our discovery that the 2-factor interaction is confounded with another important factor. Go back to the open window you had before (DOE>Classical>Two Level Screening> Fit Two Level Screening ) and select the statistically significant factors plus the 2-factor interaction of the two biggest effects. Click Run Model again. Interpret the output. What is likely happening?5. Make a final selection on the window (DOE>Classical>Two Level Screening> Fit Two Level Screening) of what you think is the true likely factors and or interactions. Then click Run Model again. Interpret final model. Prepare the report using the following formatting guidelines:1 page, single-spaced report using 0.5 margins and two-column format1 page for appendixInclude title of report, then FirstName, LastName, ISDS course #, Assignment #, date (00/00/00)10 pt Font Calibri or Times New RomanJustified as sample reportCreate headings for each sectionList any references used (e.g. Module 1 Resources)Include a title for your report e.g. "Text Analysis of Workers Compensation Claims" and create headings for each sectionInclude supporting relevant figures from the analysis in your AppendixSubmit as pdf with filename first name initial last name and assignment number (for instance HSchneider#1)Be sure to review the Assignment Rubric and Assignment Example attached below. If you have any questions, please post in the Module Questions Forum.
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