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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
5 pages
Moderation In Multiple Regression
Multiple regression, moderation test is conducted to determine how two variables depend on the third variable. The third v ...
Moderation In Multiple Regression
Multiple regression, moderation test is conducted to determine how two variables depend on the third variable. The third variable is referred to as a ...
QM662 The University of Alabama Statistics Exam Questions
some of this exam question The specifics are in the documentationSee the plots on the next page labeled a and b.For each ...
QM662 The University of Alabama Statistics Exam Questions
some of this exam question The specifics are in the documentationSee the plots on the next page labeled a and b.For each, identify the existence of the following for each plot if applicable.(5 ea.)We would conclude that the overall model (using all three explanatory variables) is statistically significant at the .05 level.(3)We should perform partial t-tests.(True / False)(2)Which of the variables are significant predictors?(4)The most useful predictor in the presence of the other explanatory variables is __________.(2)Multicollinearity is(3)severe.mild.nonexistent.Which of the following combinations would be expected to yield the highest pay?Values are years, GPA, and score.(3)5, 3.7, 807, 3.2, 858, 3.6, 855, 3.8, 85The percentage of variation in salary explained by the three x-variables is ______.(3)The model in Summary Output 2 uses only entrance score to predict salary. The sample slope = ________.(2)The sample intercept = ________. (2)The correlation is __________.(positive or negative)(2)The percentage of variation in salary explained by score is ____. (2)This a useful model.(True / False) (3) Linear relationship Outlier(s) High-leverage case(s) Negative relationship a. b. Please refer to the attached regression output.Here we are using years of experience, college GPA, and company entrance score to predict employee salaries at a local firm. true false
Stat 2002 Walden University Confidence Intervals in Political Polls Discussion
PROMPT:One of the most common uses of confidence intervals is found in political polls and the news articles that referenc ...
Stat 2002 Walden University Confidence Intervals in Political Polls Discussion
PROMPT:One of the most common uses of confidence intervals is found in political polls and the news articles that reference them. These articles often use the point estimate (the proportion), and you can usually find the margin of error (half of the confidence interval) somewhere in the article as well. For example, consider the following scenario:Two separate polling organizations have conducted polls for two candidates who are running for state senate, Gail Schultz and Raymond McGregor. The polls were taken from the same population, in the same state, and on the same day. The survey from the first company, Pollster Analytics, shows Gail having 49% of the potential vote. It also shows Raymond having an estimated 47% of likely voters. Both results reflect a margin of error of 2 percentage points (usually depicted as ±2%).The survey from the second company, Polltastik, shows Raymond at 49% and Gail at 46%. This survey has a 3-percentage-point margin of error (±3%).In this Discussion, you will compare the outcomes of the surveys in the scenario and apply the concept of confidence intervals to make a prediction for the upcoming election, as well as discuss their implications. Assignment (Refer to the scenario described above and consider who is ahead in the race and why)Post a 75- to 150-word (1- to 2-paragraph) explanation of how you applied confidence intervals to make predictions about the outcome of a political campaign. In your explanation, address the following:After reviewing both polls, what is now known about who might be ahead in the race? Explain who is ahead and why.Explain what the implications of these polls are for the campaign managers for Gail and Raymond.To support your response, be sure to reference at least one properly cited scholarly source.
4 pages
Mat 240 Module Three Assignment Template
Median Housing Price Prediction Model for D.M. Pan Real Estate Company [Note: To complete this template, replace the brack ...
Mat 240 Module Three Assignment Template
Median Housing Price Prediction Model for D.M. Pan Real Estate Company [Note: To complete this template, replace the bracketed text with your own ...
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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
5 pages
Moderation In Multiple Regression
Multiple regression, moderation test is conducted to determine how two variables depend on the third variable. The third v ...
Moderation In Multiple Regression
Multiple regression, moderation test is conducted to determine how two variables depend on the third variable. The third variable is referred to as a ...
QM662 The University of Alabama Statistics Exam Questions
some of this exam question The specifics are in the documentationSee the plots on the next page labeled a and b.For each ...
QM662 The University of Alabama Statistics Exam Questions
some of this exam question The specifics are in the documentationSee the plots on the next page labeled a and b.For each, identify the existence of the following for each plot if applicable.(5 ea.)We would conclude that the overall model (using all three explanatory variables) is statistically significant at the .05 level.(3)We should perform partial t-tests.(True / False)(2)Which of the variables are significant predictors?(4)The most useful predictor in the presence of the other explanatory variables is __________.(2)Multicollinearity is(3)severe.mild.nonexistent.Which of the following combinations would be expected to yield the highest pay?Values are years, GPA, and score.(3)5, 3.7, 807, 3.2, 858, 3.6, 855, 3.8, 85The percentage of variation in salary explained by the three x-variables is ______.(3)The model in Summary Output 2 uses only entrance score to predict salary. The sample slope = ________.(2)The sample intercept = ________. (2)The correlation is __________.(positive or negative)(2)The percentage of variation in salary explained by score is ____. (2)This a useful model.(True / False) (3) Linear relationship Outlier(s) High-leverage case(s) Negative relationship a. b. Please refer to the attached regression output.Here we are using years of experience, college GPA, and company entrance score to predict employee salaries at a local firm. true false
Stat 2002 Walden University Confidence Intervals in Political Polls Discussion
PROMPT:One of the most common uses of confidence intervals is found in political polls and the news articles that referenc ...
Stat 2002 Walden University Confidence Intervals in Political Polls Discussion
PROMPT:One of the most common uses of confidence intervals is found in political polls and the news articles that reference them. These articles often use the point estimate (the proportion), and you can usually find the margin of error (half of the confidence interval) somewhere in the article as well. For example, consider the following scenario:Two separate polling organizations have conducted polls for two candidates who are running for state senate, Gail Schultz and Raymond McGregor. The polls were taken from the same population, in the same state, and on the same day. The survey from the first company, Pollster Analytics, shows Gail having 49% of the potential vote. It also shows Raymond having an estimated 47% of likely voters. Both results reflect a margin of error of 2 percentage points (usually depicted as ±2%).The survey from the second company, Polltastik, shows Raymond at 49% and Gail at 46%. This survey has a 3-percentage-point margin of error (±3%).In this Discussion, you will compare the outcomes of the surveys in the scenario and apply the concept of confidence intervals to make a prediction for the upcoming election, as well as discuss their implications. Assignment (Refer to the scenario described above and consider who is ahead in the race and why)Post a 75- to 150-word (1- to 2-paragraph) explanation of how you applied confidence intervals to make predictions about the outcome of a political campaign. In your explanation, address the following:After reviewing both polls, what is now known about who might be ahead in the race? Explain who is ahead and why.Explain what the implications of these polls are for the campaign managers for Gail and Raymond.To support your response, be sure to reference at least one properly cited scholarly source.
4 pages
Mat 240 Module Three Assignment Template
Median Housing Price Prediction Model for D.M. Pan Real Estate Company [Note: To complete this template, replace the brack ...
Mat 240 Module Three Assignment Template
Median Housing Price Prediction Model for D.M. Pan Real Estate Company [Note: To complete this template, replace the bracketed text with your own ...
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