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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
Trine U Relationship between Audit Delay and Companys Fiscal Year Case Study
A
study investigated the relationship between audit delay (Delay), the
length of time from a company's fiscal year-end ...
Trine U Relationship between Audit Delay and Companys Fiscal Year Case Study
A
study investigated the relationship between audit delay (Delay), the
length of time from a company's fiscal year-end to the date of the
auditor's report, and variables that describe the client and the
auditor. The independent variables are as follows.
Industry
A dummy variable coded 1 if the firm was an industrial company
or 0 if the firm was a bank, savings and loan, or insurance company.
Public
A dummy variable coded 1 if the company was traded on an organized exchange or over the counter; otherwise coded 0.
Quality
A measure of overall quality of internal controls, as judged by
the auditor, on a five-point scale ranging from "virtually none" (1) to
"excellent" (5).
Finished
A measure ranging from 1 to 4, as judged by the auditor, where 1
indicates "all work performed subsequent to year-end" and 4 indicates
"most work performed prior to year-end."
A sample of 40 companies provided the following data.
Delay
Industry
Public
Quality
Finished
62
0
0
3
1
45
0
1
3
3
54
0
0
2
2
71
0
1
1
2
91
0
0
1
1
62
0
0
4
4
61
0
0
3
2
69
0
1
5
2
80
0
0
1
1
52
0
0
5
3
47
0
0
3
2
65
0
1
2
3
60
0
0
1
3
81
1
0
1
2
73
1
0
2
2
89
1
0
2
1
71
1
0
5
4
76
1
0
2
2
68
1
0
1
2
68
1
0
5
2
86
1
0
2
2
76
1
1
3
1
67
1
0
2
3
57
1
0
4
2
55
1
1
3
2
54
1
0
5
2
69
1
0
3
3
82
1
0
5
1
94
1
0
1
1
74
1
1
5
2
75
1
1
4
3
69
1
0
2
2
71
1
0
4
4
79
1
0
5
2
80
1
0
1
4
91
1
0
4
1
92
1
0
1
4
46
1
1
4
3
72
1
0
5
2
85
1
0
5
1
Enter negative values as negative, if necessary.Develop an estimated regression equation that can be used to predict
Delay by using Industry and Quality (to 2 decimals, if necessary).
Delay =
+
Industry +
Quality
A plot of the residuals as a function of the order in which the data are presented is shown below.
Does this suggest any autocorrelation present in the data?
At the .05 level of significance, test for any positive autocorrelation in the data. dL = dU = The test inconclusive.
Ashford University Ordinary Least Squares Simple Regression Questions
let me know if you have any question please do not forget to explain to me in details how did you get the answers as you c ...
Ashford University Ordinary Least Squares Simple Regression Questions
let me know if you have any question please do not forget to explain to me in details how did you get the answers as you can ?
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Most Popular Content
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
Trine U Relationship between Audit Delay and Companys Fiscal Year Case Study
A
study investigated the relationship between audit delay (Delay), the
length of time from a company's fiscal year-end ...
Trine U Relationship between Audit Delay and Companys Fiscal Year Case Study
A
study investigated the relationship between audit delay (Delay), the
length of time from a company's fiscal year-end to the date of the
auditor's report, and variables that describe the client and the
auditor. The independent variables are as follows.
Industry
A dummy variable coded 1 if the firm was an industrial company
or 0 if the firm was a bank, savings and loan, or insurance company.
Public
A dummy variable coded 1 if the company was traded on an organized exchange or over the counter; otherwise coded 0.
Quality
A measure of overall quality of internal controls, as judged by
the auditor, on a five-point scale ranging from "virtually none" (1) to
"excellent" (5).
Finished
A measure ranging from 1 to 4, as judged by the auditor, where 1
indicates "all work performed subsequent to year-end" and 4 indicates
"most work performed prior to year-end."
A sample of 40 companies provided the following data.
Delay
Industry
Public
Quality
Finished
62
0
0
3
1
45
0
1
3
3
54
0
0
2
2
71
0
1
1
2
91
0
0
1
1
62
0
0
4
4
61
0
0
3
2
69
0
1
5
2
80
0
0
1
1
52
0
0
5
3
47
0
0
3
2
65
0
1
2
3
60
0
0
1
3
81
1
0
1
2
73
1
0
2
2
89
1
0
2
1
71
1
0
5
4
76
1
0
2
2
68
1
0
1
2
68
1
0
5
2
86
1
0
2
2
76
1
1
3
1
67
1
0
2
3
57
1
0
4
2
55
1
1
3
2
54
1
0
5
2
69
1
0
3
3
82
1
0
5
1
94
1
0
1
1
74
1
1
5
2
75
1
1
4
3
69
1
0
2
2
71
1
0
4
4
79
1
0
5
2
80
1
0
1
4
91
1
0
4
1
92
1
0
1
4
46
1
1
4
3
72
1
0
5
2
85
1
0
5
1
Enter negative values as negative, if necessary.Develop an estimated regression equation that can be used to predict
Delay by using Industry and Quality (to 2 decimals, if necessary).
Delay =
+
Industry +
Quality
A plot of the residuals as a function of the order in which the data are presented is shown below.
Does this suggest any autocorrelation present in the data?
At the .05 level of significance, test for any positive autocorrelation in the data. dL = dU = The test inconclusive.
Ashford University Ordinary Least Squares Simple Regression Questions
let me know if you have any question please do not forget to explain to me in details how did you get the answers as you c ...
Ashford University Ordinary Least Squares Simple Regression Questions
let me know if you have any question please do not forget to explain to me in details how did you get the answers as you can ?
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