Description
Use MS Word to complete “Questions to be Graded: Exercises 14, 19, 29 and 35” in Statistics for Nursing Research: A Workbook for Evidence-Based Practice. Submit your work in SPSS by copying the output and pasting into the Word document. In addition to the SPSS output, please include explanations of the results where appropriate.
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Questions to Be Graded
EXERCISE
14
Name:
Class:
Date:
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.”
1. According to the study narrative and Figure l 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 calculatingy (weight in kg) is Weight in kg =(0.176 x Age in months)
+ 7 241. Identify the y intercept and the slope in this formula.
Copyright © 2017, Elsevier Inc. All rights reserved.
149
150
EXERCISE 14 Understanding Simple Linear Regression
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 x Age in months) -6.868. What
is the predicted weight in kilograms for a child 10 years 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.
Copyright © 2017, Elsevier Inc. All rights reserved.
Questions to Be Graded
EXERCISE
19
Name:
Class:
Date:
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.”
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 x statistic? Give two examples
from Table 2 of demographic variables measured at the level appropriate for x?
3. What is the x for U.S. practice region? Is the 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
Copyright © 2017, Elsevier Inc. All rights reserved.
199
200
EXERCISE 19
Understanding Pearson Chi-Square
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 22 Provide a rationale for your answer.
10. A statistically significant difference is present between RAAPS users and RAAPS nonusers for
U.S. practice region, x° = 29.68. Does the result provide the location of the difference? Provide
a rationale for your answer.
Copyright © 2017, Elsevier Inc. All rights reserved.
Questions to Be Graded
EXERCISE
29
Name:
Class:
Date:
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.”
1. If you have access to SPSS, compute the Shapiro-Wilk test of normality for the variable age (as
demonstrated in Exercise 26). If you do not have access to SPSS, plot the frequency distributions
by hand. What do the results indicate?
2. State the null hypothesis where age at enrollment is used to predict the time for completion of
an RN to BSN program.
3. What is b as computed by hand (or using SPSS)?
4. What is a as computed by hand (or using SPSS)?
Copyright 2017. Elsevier Inc. All rights reserved.
331
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attachment
EXERCISE
14
Name:
Class:
Date:
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.”
1. According to the study narrative and Figure l 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 calculatingy (weight in kg) is Weight in kg =(0.176 x Age in months)
+ 7 241. Identify the y intercept and the slope in this formula.
Copyright © 2017, Elsevier Inc. All rights reserved.
149
150
EXERCISE 14 Understanding Simple Linear Regression
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 x Age in months) -6.868. What
is the predicted weight in kilograms for a child 10 years 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.
Copyright © 2017, Elsevier Inc. All rights reserved.
Questions to Be Graded
EXERCISE
19
Name:
Class:
Date:
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.”
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 x statistic? Give two examples
from Table 2 of demographic variables measured at the level appropriate for x?
3. What is the x for U.S. practice region? Is the 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
Copyright © 2017, Elsevier Inc. All rights reserved.
199
200
EXERCISE 19
Understanding Pearson Chi-Square
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 22 Provide a rationale for your answer.
10. A statistically significant difference is present between RAAPS users and RAAPS nonusers for
U.S. practice region, x° = 29.68. Does the result provide the location of the difference? Provide
a rationale for your answer.
Copyright © 2017, Elsevier Inc. All rights reserved.
Questions to Be Graded
EXERCISE
29
Name:
Class:
Date:
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.”
1. If you have access to SPSS, compute the Shapiro-Wilk test of normality for the variable age (as
demonstrated in Exercise 26). If you do not have access to SPSS, plot the frequency distributions
by hand. What do the results indicate?
2. State the null hypothesis where age at enrollment is used to predict the time for completion of
an RN to BSN program.
3. What is b as computed by hand (or using SPSS)?
4. What is a as computed by hand (or using SPSS)?
Copyright 2017. Elsevier Inc. All rights reserved.
331
Purchase answer to see full
attachment
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