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EXERCISE 14 Questions to Be Graded
http://partnershipforpatients.cms.gov/p4p_resource... 149 EXERCISE 14 Questions to Be Graded Follow your instructor's d ...
EXERCISE 14 Questions to Be Graded
http://partnershipforpatients.cms.gov/p4p_resource... 149 EXERCISE 14 Questions to Be Graded Follow your instructor's directions to submit your answers to the following questions for grading. Your instructor may ask you to write your answers below and submit them as a hard copy for grading. Alternatively, your instructor may ask you to use the space below for notes and submit your answers online at http://evolve.elsevier.com/Grove/Statistics/ under “Questions to Be Graded.” Name: _______________________________________________________ Class: _____________________ Date: ___________________________________________________________________________________ 1. According to the study narrative and Figure 1 in the Flannigan et al. (2014) study, does the APLS UK formula under- or overestimate the weight of children younger than 1 year of age? Provide a rationale for your answer. 2. Using the values a = 3.161 and b = 0.502 with the novel formula in Figure 1, what is the predicted weight in kilograms (kg) for a child at 9 months of age? Show your calculations. 3. Using the values a = 3.161 and b = 0.502 with the novel formula in Figure 1, what is the predicted weight in kilograms for a child at 2 months of age? Show your calculations. 4. In Figure 2, the formula for calculating y (weight in kg) is Weight in kg = (0.176 × Age in months) + 7.241. Identify the y intercept and the slope in this formula. 150 5. Using the values a = 7.241 and b = 0.176 with the novel formula in Figure 2, what is the predicted weight in kilograms for a child 3 years of age? Show your calculations. 6. Using the values a = 7.241 and b = 0.176 with the novel formula in Figure 2, what is the predicted weight in kilograms for a child 5 years of age? Show your calculations. 7. In Figure 3, some of the actual mean weights represented by blue line with squares are above the dotted straight line for the novel formula, but others are below the straight line. Is this an expected finding? Provide a rationale for your answer. 8. In Figure 3, the novel formula is (weight in kilograms = (0.331 × Age in months) − 6.868. What is the predicted weight in kilograms for a child 10 year old? Show your calculations. 9. Was the sample size of this study adequate for conducting simple linear regression? Provide a rationale for your answer. 10. Describe one potential clinical advantage and one potential clinical problem with using the three novel formulas presented in Figures 1, 2, and 3 in a PICU setting (Grove 147-150) Grove, Susan K., Daisha Cipher. Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 2nd Edition. Saunders, 022016. VitalBook file. The citation provided is a guideline. Please check each citation for accuracy before use. EXERCISE 19 Questions to Be Graded Follow your instructor's directions to submit your answers to the following questions for grading. Your instructor may ask you to write your answers below and submit them as a hard copy for grading. Alternatively, your instructor may ask you to use the space below for notes and submit your answers online at http://evolve.elsevier.com/Grove/Statistics/ under “Questions to Be Graded.” Name: _______________________________________________________ Class: _____________________ Date: ___________________________________________________________________________________ 1. According to the relevant study results section of the Darling-Fisher et al. (2014) study, what categories are reported to be statistically significant? 2. What level of measurement is appropriate for calculating the χ2 statistic? Give two examples from Table 2 of demographic variables measured at the level appropriate for χ2. 3. What is the χ2 for U.S. practice region? Is the χ2 value statistically significant? Provide a rationale for your answer. 4. What is the df for provider type? Provide a rationale for why the df for provider type presented in Table 2 is correct. 200 5. Is there a statistically significant difference for practice setting between the Rapid Assessment for Adolescent Preventive Services (RAAPS) users and nonusers? Provide a rationale for your answer. 6. State the null hypothesis for provider age in years for RAAPS users and RAAPS nonusers. 7. Should the null hypothesis for provider age in years developed for Question 6 be accepted or rejected? Provide a rationale for your answer. 8. Describe at least one clinical advantage and one clinical challenge of using RAAPS as described by Darling-Fisher et al. (2014). 9. How many null hypotheses are rejected in the Darling-Fisher et al. (2014) study for the results presented in Table 2? Provide a rationale for your answer. 10. A statistically significant difference is present between RAAPS users and RAAPS nonusers for U.S. practice region, χ2 = 29.68. Does the χ2 result provide the location of the difference? Provide a rationale for your answer. (Grove 199-200) Grove, Susan K., Daisha Cipher. Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 2nd Edition. Saunders, 022016. VitalBook file. The citation provided is a guideline. Please check each citation for accuracy before use. 677 267 24,005 9,089
Capella University Quantitative Design & Analysis ANOVA Application Report
ANOVA APPLICATION AND INTERPRETATIONundefinedInstructionsundefinedComplete the following for this assignment:undefinedFor ...
Capella University Quantitative Design & Analysis ANOVA Application Report
ANOVA APPLICATION AND INTERPRETATIONundefinedInstructionsundefinedComplete the following for this assignment:undefinedFor this assignment you will use the Data Analysis and Application template (DAA Template [DOC]).For help with SPSS, refer to IBM SPSS Step-by-Step Guide: One-Way ANOVA [DOC].For help copying SPSS output into your DAA, review the Copy/Export Output Instructions [HTML].For information on the data set, you may find the Data Set Instructions [DOC] helpful.Refer to the 7864 Course Study Guide for information on analyses and interpretation.undefinedThe grades.sav file is a sample SPSS data set. The data represent a teacher's recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of 35 students (N = 105). There are 21 variables in grades.sav.undefinedThis week’s assignment is on ANOVA. You will analyze the following variables in the grades.sav data set:undefined SPSS Variable Definition Section Class section Quiz3 Quiz 3: number of correct answers undefinedStep 1: Write Section 1 of the DAA: The Data Analysis PlanundefinedName the variables used in this analysis and whether they are categorical or continuous.State a research question, null hypothesis, and alternate hypothesis for the analysis of variance (ANOVA).undefinedStep 2: Write Section 2 of the DAA: Testing AssumptionsundefinedTest for one of the assumptions of ANOVA – normality.undefinedCreate SPSS output showing the Shapiro-Wilk test of normality. Run the Shapiro-Wilk test on the dependent variable test for the entire sample. Do not split the data up by gender before running the normality test.Paste the table in the DAA.Interpret the Shapiro-Wilk test and how you determined whether the assumption of normality was met or violated.undefinedStep 3: Write Section 3 of the DAA: Results and InterpretationundefinedPaste the following SPSS tables into the document:undefinedDescriptives tableANOVA tableMultiple Comparison tableReport the means and standard deviations of quiz3 for each group of the section variable.Report the results of the F test and interpret the statistical results against the null hypothesis and state whether it is accepted or rejected.Finally, if the F is significant, interpret the post-hoc tests (multiple comparisons).undefinedStep 4: Write Section 4 of the DAA: Statistical ConclusionsundefinedProvide a brief summary of your analysis and the conclusions drawn about this ANOVA.Analyze the limitations of the statistical test and/or possible alternative explanations for your results.undefinedStep 5: Write Section 5 of the DAA: ApplicationundefinedAnalyze how you might use the ANOVA in your field of study.undefinedName an independent variable (the IV should have three or more groups/categories) and dependent variable that would work for such an analysis and why studying it may be important to the field or practice.undefinedSubmit your DAA template as an attached Word document in the assignment area.undefinedReadingsundefinedRead about how to apply your knowledge of ANOVA and run some analyses in SPSS.undefinedGeorge, D., & Mallery, P. (2019). IBM SPSS statistics 25 step by step: A simple guide and reference (15th ed.). Routledge.undefinedChapter 12 describes how to run an ANOVA in SPSS.Field, A. (2018). Discovering statistics using IBM SPSS: North American edition (5th ed.). Sage.undefinedReview Chapter 12's information on post hoc procedures and output from one-way ANOVAs to help you with your assignment.The 7864 Course Study Guide [PDF] highlights content to focus on as you read and absorb the materials. You may also find some additional articles with direct relevance to your field here.undefinedOne-Way ANOVA and the SPSS Data SetundefinedThis week, you will apply your understanding of the one-way ANOVA to the SPSS data set.
Analyze a mined data set using a computerized statistical package to uncover insight to a healthcare
InstructionsAs an administrator to a health education program, you suspect that pairing first year students with third-yea ...
Analyze a mined data set using a computerized statistical package to uncover insight to a healthcare
InstructionsAs an administrator to a health education program, you suspect that pairing first year students with third-year students will help improve their end-of-year evaluations. To test your hypothesis you develop a mentoring program that has three groups. Group one will be the control. Group two will meet in person weekly. Group three will keep in touch using social media and texting.Use PSPP to analyze the scores in the Unit 6 data set (found in Course Resources) with ANOVA.Write an executive summary of your study. In the summary, include the ANOVA test results, your hypothesis and its resolution, and the implications of your findings. You must include at least two references (academic sources that must be cited in APA style).RequirementsThis paper should have at least 2 full pages, not including the title page or references.This paper must follow APA formatting and citation guidelines, including:Title page and Reference pageEssay should be double spacedUse Times New Roman font, size 12Any references should come from credible sources and use APA documentation.Includes a highly developed viewpointOrganize your paper with subheadings.Free of grammar and spelling errorsNo evidence of plagiarism
Mathematics 231 Part I: Select a piece of real estate, math homework help
Part I: Select a piece of real estate (residential, commercial, warehouse, land), any number of resources can b ...
Mathematics 231 Part I: Select a piece of real estate, math homework help
Part I: Select a piece of real estate (residential, commercial, warehouse, land), any number of resources can be used (www.realtor.com is one option). You will need to include a listing sheet/link with your submitted assignment.Part II: Determine a down payment. (a standard down payment is 20%, however you may offer justification for any amount/percent you choose)Part III: Research 2 different financing optionsPart IV: Use Excel (or other approved spread sheet) to create a complete amortization schedule for the lif of both financing options.Part V: Write an analysis that compares and contrasts the two financing options in detail. Be specific. Include justifications for selecting an option.A real estate listing sheet_____ / 5A description, explanation, or calculation of the down payment for the property_____ / 5A description of the two financing options/products being compared_____ / 5A "hand-made" Excel spread sheet containing side by side amortization schedules_____ / 15Written analysis (20 points total) - Explanation of any background information and/or further description of loan types selected_____ / 5 - Analysis of the similarities and differences in the amortization schedules_____ / 5 - Justification for selection of either option_____ / 5 - Use of proper grammar, spelling, sentence structure and paragraph structure_____ / 5TOTAL _____ /50I have attached a example for Use or reference. This project must have a excel spreadsheet as specified above.
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EXERCISE 14 Questions to Be Graded
http://partnershipforpatients.cms.gov/p4p_resource... 149 EXERCISE 14 Questions to Be Graded Follow your instructor's d ...
EXERCISE 14 Questions to Be Graded
http://partnershipforpatients.cms.gov/p4p_resource... 149 EXERCISE 14 Questions to Be Graded Follow your instructor's directions to submit your answers to the following questions for grading. Your instructor may ask you to write your answers below and submit them as a hard copy for grading. Alternatively, your instructor may ask you to use the space below for notes and submit your answers online at http://evolve.elsevier.com/Grove/Statistics/ under “Questions to Be Graded.” Name: _______________________________________________________ Class: _____________________ Date: ___________________________________________________________________________________ 1. According to the study narrative and Figure 1 in the Flannigan et al. (2014) study, does the APLS UK formula under- or overestimate the weight of children younger than 1 year of age? Provide a rationale for your answer. 2. Using the values a = 3.161 and b = 0.502 with the novel formula in Figure 1, what is the predicted weight in kilograms (kg) for a child at 9 months of age? Show your calculations. 3. Using the values a = 3.161 and b = 0.502 with the novel formula in Figure 1, what is the predicted weight in kilograms for a child at 2 months of age? Show your calculations. 4. In Figure 2, the formula for calculating y (weight in kg) is Weight in kg = (0.176 × Age in months) + 7.241. Identify the y intercept and the slope in this formula. 150 5. Using the values a = 7.241 and b = 0.176 with the novel formula in Figure 2, what is the predicted weight in kilograms for a child 3 years of age? Show your calculations. 6. Using the values a = 7.241 and b = 0.176 with the novel formula in Figure 2, what is the predicted weight in kilograms for a child 5 years of age? Show your calculations. 7. In Figure 3, some of the actual mean weights represented by blue line with squares are above the dotted straight line for the novel formula, but others are below the straight line. Is this an expected finding? Provide a rationale for your answer. 8. In Figure 3, the novel formula is (weight in kilograms = (0.331 × Age in months) − 6.868. What is the predicted weight in kilograms for a child 10 year old? Show your calculations. 9. Was the sample size of this study adequate for conducting simple linear regression? Provide a rationale for your answer. 10. Describe one potential clinical advantage and one potential clinical problem with using the three novel formulas presented in Figures 1, 2, and 3 in a PICU setting (Grove 147-150) Grove, Susan K., Daisha Cipher. Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 2nd Edition. Saunders, 022016. VitalBook file. The citation provided is a guideline. Please check each citation for accuracy before use. EXERCISE 19 Questions to Be Graded Follow your instructor's directions to submit your answers to the following questions for grading. Your instructor may ask you to write your answers below and submit them as a hard copy for grading. Alternatively, your instructor may ask you to use the space below for notes and submit your answers online at http://evolve.elsevier.com/Grove/Statistics/ under “Questions to Be Graded.” Name: _______________________________________________________ Class: _____________________ Date: ___________________________________________________________________________________ 1. According to the relevant study results section of the Darling-Fisher et al. (2014) study, what categories are reported to be statistically significant? 2. What level of measurement is appropriate for calculating the χ2 statistic? Give two examples from Table 2 of demographic variables measured at the level appropriate for χ2. 3. What is the χ2 for U.S. practice region? Is the χ2 value statistically significant? Provide a rationale for your answer. 4. What is the df for provider type? Provide a rationale for why the df for provider type presented in Table 2 is correct. 200 5. Is there a statistically significant difference for practice setting between the Rapid Assessment for Adolescent Preventive Services (RAAPS) users and nonusers? Provide a rationale for your answer. 6. State the null hypothesis for provider age in years for RAAPS users and RAAPS nonusers. 7. Should the null hypothesis for provider age in years developed for Question 6 be accepted or rejected? Provide a rationale for your answer. 8. Describe at least one clinical advantage and one clinical challenge of using RAAPS as described by Darling-Fisher et al. (2014). 9. How many null hypotheses are rejected in the Darling-Fisher et al. (2014) study for the results presented in Table 2? Provide a rationale for your answer. 10. A statistically significant difference is present between RAAPS users and RAAPS nonusers for U.S. practice region, χ2 = 29.68. Does the χ2 result provide the location of the difference? Provide a rationale for your answer. (Grove 199-200) Grove, Susan K., Daisha Cipher. Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 2nd Edition. Saunders, 022016. VitalBook file. The citation provided is a guideline. Please check each citation for accuracy before use. 677 267 24,005 9,089
Capella University Quantitative Design & Analysis ANOVA Application Report
ANOVA APPLICATION AND INTERPRETATIONundefinedInstructionsundefinedComplete the following for this assignment:undefinedFor ...
Capella University Quantitative Design & Analysis ANOVA Application Report
ANOVA APPLICATION AND INTERPRETATIONundefinedInstructionsundefinedComplete the following for this assignment:undefinedFor this assignment you will use the Data Analysis and Application template (DAA Template [DOC]).For help with SPSS, refer to IBM SPSS Step-by-Step Guide: One-Way ANOVA [DOC].For help copying SPSS output into your DAA, review the Copy/Export Output Instructions [HTML].For information on the data set, you may find the Data Set Instructions [DOC] helpful.Refer to the 7864 Course Study Guide for information on analyses and interpretation.undefinedThe grades.sav file is a sample SPSS data set. The data represent a teacher's recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of 35 students (N = 105). There are 21 variables in grades.sav.undefinedThis week’s assignment is on ANOVA. You will analyze the following variables in the grades.sav data set:undefined SPSS Variable Definition Section Class section Quiz3 Quiz 3: number of correct answers undefinedStep 1: Write Section 1 of the DAA: The Data Analysis PlanundefinedName the variables used in this analysis and whether they are categorical or continuous.State a research question, null hypothesis, and alternate hypothesis for the analysis of variance (ANOVA).undefinedStep 2: Write Section 2 of the DAA: Testing AssumptionsundefinedTest for one of the assumptions of ANOVA – normality.undefinedCreate SPSS output showing the Shapiro-Wilk test of normality. Run the Shapiro-Wilk test on the dependent variable test for the entire sample. Do not split the data up by gender before running the normality test.Paste the table in the DAA.Interpret the Shapiro-Wilk test and how you determined whether the assumption of normality was met or violated.undefinedStep 3: Write Section 3 of the DAA: Results and InterpretationundefinedPaste the following SPSS tables into the document:undefinedDescriptives tableANOVA tableMultiple Comparison tableReport the means and standard deviations of quiz3 for each group of the section variable.Report the results of the F test and interpret the statistical results against the null hypothesis and state whether it is accepted or rejected.Finally, if the F is significant, interpret the post-hoc tests (multiple comparisons).undefinedStep 4: Write Section 4 of the DAA: Statistical ConclusionsundefinedProvide a brief summary of your analysis and the conclusions drawn about this ANOVA.Analyze the limitations of the statistical test and/or possible alternative explanations for your results.undefinedStep 5: Write Section 5 of the DAA: ApplicationundefinedAnalyze how you might use the ANOVA in your field of study.undefinedName an independent variable (the IV should have three or more groups/categories) and dependent variable that would work for such an analysis and why studying it may be important to the field or practice.undefinedSubmit your DAA template as an attached Word document in the assignment area.undefinedReadingsundefinedRead about how to apply your knowledge of ANOVA and run some analyses in SPSS.undefinedGeorge, D., & Mallery, P. (2019). IBM SPSS statistics 25 step by step: A simple guide and reference (15th ed.). Routledge.undefinedChapter 12 describes how to run an ANOVA in SPSS.Field, A. (2018). Discovering statistics using IBM SPSS: North American edition (5th ed.). Sage.undefinedReview Chapter 12's information on post hoc procedures and output from one-way ANOVAs to help you with your assignment.The 7864 Course Study Guide [PDF] highlights content to focus on as you read and absorb the materials. You may also find some additional articles with direct relevance to your field here.undefinedOne-Way ANOVA and the SPSS Data SetundefinedThis week, you will apply your understanding of the one-way ANOVA to the SPSS data set.
Analyze a mined data set using a computerized statistical package to uncover insight to a healthcare
InstructionsAs an administrator to a health education program, you suspect that pairing first year students with third-yea ...
Analyze a mined data set using a computerized statistical package to uncover insight to a healthcare
InstructionsAs an administrator to a health education program, you suspect that pairing first year students with third-year students will help improve their end-of-year evaluations. To test your hypothesis you develop a mentoring program that has three groups. Group one will be the control. Group two will meet in person weekly. Group three will keep in touch using social media and texting.Use PSPP to analyze the scores in the Unit 6 data set (found in Course Resources) with ANOVA.Write an executive summary of your study. In the summary, include the ANOVA test results, your hypothesis and its resolution, and the implications of your findings. You must include at least two references (academic sources that must be cited in APA style).RequirementsThis paper should have at least 2 full pages, not including the title page or references.This paper must follow APA formatting and citation guidelines, including:Title page and Reference pageEssay should be double spacedUse Times New Roman font, size 12Any references should come from credible sources and use APA documentation.Includes a highly developed viewpointOrganize your paper with subheadings.Free of grammar and spelling errorsNo evidence of plagiarism
Mathematics 231 Part I: Select a piece of real estate, math homework help
Part I: Select a piece of real estate (residential, commercial, warehouse, land), any number of resources can b ...
Mathematics 231 Part I: Select a piece of real estate, math homework help
Part I: Select a piece of real estate (residential, commercial, warehouse, land), any number of resources can be used (www.realtor.com is one option). You will need to include a listing sheet/link with your submitted assignment.Part II: Determine a down payment. (a standard down payment is 20%, however you may offer justification for any amount/percent you choose)Part III: Research 2 different financing optionsPart IV: Use Excel (or other approved spread sheet) to create a complete amortization schedule for the lif of both financing options.Part V: Write an analysis that compares and contrasts the two financing options in detail. Be specific. Include justifications for selecting an option.A real estate listing sheet_____ / 5A description, explanation, or calculation of the down payment for the property_____ / 5A description of the two financing options/products being compared_____ / 5A "hand-made" Excel spread sheet containing side by side amortization schedules_____ / 15Written analysis (20 points total) - Explanation of any background information and/or further description of loan types selected_____ / 5 - Analysis of the similarities and differences in the amortization schedules_____ / 5 - Justification for selection of either option_____ / 5 - Use of proper grammar, spelling, sentence structure and paragraph structure_____ / 5TOTAL _____ /50I have attached a example for Use or reference. This project must have a excel spreadsheet as specified above.
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