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HLT 362 Week 5 Module 5 Exercise 40 - $9.50

HLT 362 Week 5 Module 5 Exercise 40

Module 5 Exercise 40
According to the Introduction, what categories were reported to be statistically significant?
In Table 1, is the No. in household reported as statistically significant among the three groups (uninsured, Medicaid, and privately insured)? Provide a rationale for your answer.
Should the null hypothesis for Marital Status (%) be rejected? Provide a rationale for your answer.
How many null hypotheses were rejected in the Salsberry (2003) study? Provide a rationale for your answer.
Does Marital Status or Education (of adults) have a greater statistically significant difference among the three groups (uninsured, Medicaid, or privately insured)? Provide a rationale for your answer.
Was there a significant difference in Working status for the three levels of insurance (uninsured, Medicaid enrolled, and privately insured)? Provide a rationale for your answer.
State the null hypothesis for level of insurance and Gender–% female.
Should the null hypothesis for Question 7 be accepted or rejected? Provide a rationale for your answer.
In your own opinion, were the outcomes of this study what you expected?
In your own opinion, should the results of this study be generalized to other State Children’s Health Insurance Programs (SCHIPs)? Provide a rationale for your answer.

HLT 362 Week 5 Module 5 Exercise 27 - $9.50

HLT 362 Week 5 Module 5 Exercise 27

Module 5 Exercise 27 Simple Linear Regression
What are the independent and dependent variables in Figures 2, A, B, and C? How would you describe the relationship between the variables in Figures 2, A, B, and C?
What are the independent and dependent variables in Figures 3, A, B, and C? How would you describe the relationship between the variables in Figures 3, A, B, and C?
Was there a significant difference in the y intercept for the lines of best fi t in Figure 2 from the y intercept for the lines of best fi t in Figure 3? Provide a rationale for your answer.
Ŷ represents the predicted value of y calculated using the equation Ŷ a bx. In Figure 2, the formula for SBP is Ŷ 43.2 0.17x. Identify the y intercept and the slope in this formula. What does x represent in this formula?
In the legend beneath Figure 2, the authors give an equation indicating that systolic blood pressure is SBP 43.2 0.17x. If the value of x is postnatal age of 30 hours, what is the value for Ŷ or SBP for neonates ≤1,000 grams? Show your calculations. In the legend beneath Figure 2, the authors give an equation indicating that systolic blood pressure is SBP 50.3 0.12x. If the value of x is postnatal age of 30 hours, what is the value for Ŷ or SBP for neonates 1,001–1,500 grams? Show your calculations.
Using the values a 500 and b 20 in Figure 27-2, what is the predicted birth weight in grams for an infant at 36 weeks of gestation?
Compare the SBP readings you found in Questions 5 and 6. Explain the difference in these two readings.
In the legend beneath Figure 2, the authors give an equation indicating that diastolic blood pressure is DBP 25.8 0.13x. If the value of x is postnatal age of 30 hours, what is the value for Ŷ for neonates ≤1,000 grams? Show your calculations.
In the legend beneath Figure 3, the authors give an equation indicating that diastolic blood pressure is DBP 30.4 0.11x. If the value of x is postnatal age of 30 hours, what is the value for Ŷ for neonates 1,001–1,500 grams? Show your calculations.
In the legend beneath Figure 3, the authors give an equation indicating that diastolic blood pressure is DBP 30.4 0.11x. How different is the DBP when the value of x is postnatal age of 60 hours versus the 30 hours examined in Question 9?

HLT 362 Week 5 Module 5 Correlation Regression and Chi Square - $9.50

HLT 362 Week 5 Module 5 Correlation Regression and Chi Square

SYSTOLIC AND DIASTOLIC BLOOD PRESSURE OF FEMALES
The following table represents systolic and diastolic blood pressure measurements of 40 females.
A) Use the Excel Analysis ToolPak to find the linear correlation coefficient for the systolic and diastolic measurements.
B) Use the Excel Analysis ToolPak to determine the linear regression equation that uses the systolic pressure to predict the diastolic pressure.
C) What is the best predicted value for diastolic pressure given that a woman has a systolic level of 100?

HLT 362 Week 5 DQs - $5.00

HLT 362 Week 5 DQs

Now that you are familiar with the basic concepts of statistics, what are some examples of when you have seen or heard statistics used inappropriately?
What is an example in the world around you for which you would use a Chi-square analysis?

HLT 362 Week 5 - $20.00

HLT 362 Week 5

Assignments
Module 5 Correlation/Regression and Chi Square Excel Worksheet
SYSTOLIC AND DIASTOLIC BLOOD PRESSURE OF FEMALES
The following table represents systolic and diastolic blood pressure measurements of 40 females.
A) Use the Excel Analysis ToolPak to find the linear correlation coefficient for the systolic and diastolic measurements.
B) Use the Excel Analysis ToolPak to determine the linear regression equation that uses the systolic pressure to predict the diastolic pressure.
C) What is the best predicted value for diastolic pressure given that a woman has a systolic level of 100?
Module 5 Exercise 27 Simple Linear Regression
What are the independent and dependent variables in Figures 2, A, B, and C? How would you describe the relationship between the variables in Figures 2, A, B, and C?
What are the independent and dependent variables in Figures 3, A, B, and C? How would you describe the relationship between the variables in Figures 3, A, B, and C?
Was there a significant difference in the y intercept for the lines of best fi t in Figure 2 from the y intercept for the lines of best fi t in Figure 3? Provide a rationale for your answer.
Ŷ represents the predicted value of y calculated using the equation Ŷ a bx. In Figure 2, the formula for SBP is Ŷ 43.2 0.17x. Identify the y intercept and the slope in this formula. What does x represent in this formula?
In the legend beneath Figure 2, the authors give an equation indicating that systolic blood pressure is SBP 43.2 0.17x. If the value of x is postnatal age of 30 hours, what is the value for Ŷ or SBP for neonates ≤1,000 grams? Show your calculations. In the legend beneath Figure 2, the authors give an equation indicating that systolic blood pressure is SBP 50.3 0.12x. If the value of x is postnatal age of 30 hours, what is the value for Ŷ or SBP for neonates 1,001–1,500 grams? Show your calculations.
Using the values a 500 and b 20 in Figure 27-2, what is the predicted birth weight in grams for an infant at 36 weeks of gestation?
Compare the SBP readings you found in Questions 5 and 6. Explain the difference in these two readings.
In the legend beneath Figure 2, the authors give an equation indicating that diastolic blood pressure is DBP 25.8 0.13x. If the value of x is postnatal age of 30 hours, what is the value for Ŷ for neonates ≤1,000 grams? Show your calculations.
In the legend beneath Figure 3, the authors give an equation indicating that diastolic blood pressure is DBP 30.4 0.11x. If the value of x is postnatal age of 30 hours, what is the value for Ŷ for neonates 1,001–1,500 grams? Show your calculations.
In the legend beneath Figure 3, the authors give an equation indicating that diastolic blood pressure is DBP 30.4 0.11x. How different is the DBP when the value of x is postnatal age of 60 hours versus the 30 hours examined in Question 9?
Module 5 Exercise 40
According to the Introduction, what categories were reported to be statistically significant?
In Table 1, is the No. in household reported as statistically significant among the three groups (uninsured, Medicaid, and privately insured)? Provide a rationale for your answer.
Should the null hypothesis for Marital Status (%) be rejected? Provide a rationale for your answer.
How many null hypotheses were rejected in the Salsberry (2003) study? Provide a rationale for your answer.
Does Marital Status or Education (of adults) have a greater statistically significant difference among the three groups (uninsured, Medicaid, or privately insured)? Provide a rationale for your answer.
Was there a significant difference in Working status for the three levels of insurance (uninsured, Medicaid enrolled, and privately insured)? Provide a rationale for your answer.
State the null hypothesis for level of insurance and Gender–% female.
Should the null hypothesis for Question 7 be accepted or rejected? Provide a rationale for your answer.
In your own opinion, were the outcomes of this study what you expected?
In your own opinion, should the results of this study be generalized to other State Children’s Health Insurance Programs (SCHIPs)? Provide a rationale for your answer.
Discussion Questions
Now that you are familiar with the basic concepts of statistics, what are some examples of when you have seen or heard statistics used inappropriately?
What is an example in the world around you for which you would use a Chi-square analysis?

HLT 362 Week 4 Exercise 36 - $9.50

HLT 362 Week 4 Exercise 36

The researchers found a significant difference between the two groups (control and treatment) for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the results of F(1, 22) 9.619, p 0.005. Discuss each aspect of these results.
State the null hypothesis for the Baird and Sands (2004) study that focuses on the effect of the GI with PMR treatment on patients’ mobility level. Should the null hypothesis be rejected for the difference between the two groups in change in mobility scores over 12 weeks? Provide a rationale for your answer.
The researchers stated that the participants in the intervention group reported a reduction in mobility difficulty at week 12. Was this result statistically significant, and if so at what probability?
If the researchers had set the level of significance or = 0.01, would the results of p0.001 still be statistically significant? Provide a rationale for your answer.
If F(3, 60) 4.13, p 0.04, and = 0.01, is the result statistically significant? Provide a rationale for your answer. Would the null hypothesis be accepted or rejected?
Can ANOVA be used to test proposed relationships or predicted correlations between variables in a single group? Provide a rationale for your answer.
If a study had a result of F(2, 147) 4.56, p 0.003, how many groups were in the study, and what was the sample size?
The researchers state that the sample for their study was 28 women with a diagnosis of OA, and that 18 were randomly assigned to the intervention group and 10 were randomly assigned to the control group. Discuss the study strengths and/or weaknesses in this statement.
In your opinion, have the researchers established that guided imagery (GI) with progressive muscle relaxation (PMR) reduces pain and decreases mobility difficulties in women with OA?
The researchers stated that this was a 12-week longitudinal, randomized clinical trial pilot study with 28 women over 65 years of age with the diagnosis of OA. What are some of the possible problems or limitations that might occur with this type of study?

HLT 362 Week 4 DQs - $5.00

HLT 362 Week 4 DQs

If the result of an ANOVA experiment was "not significant", was the experiment a failure? Provide reasoning and examples (real or hypothetical) to support your argument.
What is an interaction? Describe an example; what are the variables within your population (work, social, academic, etc.) for which you might expect interactions?

HLT 362 Week 4 ANOVA Excel Worksheet - $9.50

HLT 362 Week 4 ANOVA Excel Worksheet

SYSTOLIC BLOOD PRESSURE IN DIFFERENT AGE GROUPS
The following table contains a random sample of 40 women partitioned into three groups:
Group 1: ages below 20
Group 2: ages 20 through 40
Group 3: ages over 40
The values in the table are the systolic blood pressure levels
The hypothesis test:
H0:u1=u2=u3
H1: at least one of the treatment means is different
Use the Excel Analysis ToolPak to create an Anova – Single Factor table.  Is there sufficient evidence to support the claim that women in the different age categories have different mean blood pressure levels?  Give reasons for your decision.

HLT 362 Week 4 - $20.00

HLT 362 Week 4

Assignments
Module 4 ANOVA Excel Worksheet
SYSTOLIC BLOOD PRESSURE IN DIFFERENT AGE GROUPS
The following table contains a random sample of 40 women partitioned into three groups:
Group 1: ages below 20
Group 2: ages 20 through 40
Group 3: ages over 40
The values in the table are the systolic blood pressure levels
The hypothesis test:
H0:u1=u2=u3
H1: at least one of the treatment means is different
Use the Excel Analysis ToolPak to create an Anova – Single Factor table.  Is there sufficient evidence to support the claim that women in the different age categories have different mean blood pressure levels?  Give reasons for your decision.
Module 4 Exercise 36
The researchers found a significant difference between the two groups (control and treatment) for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the results of F(1, 22) 9.619, p 0.005. Discuss each aspect of these results.
State the null hypothesis for the Baird and Sands (2004) study that focuses on the effect of the GI with PMR treatment on patients’ mobility level. Should the null hypothesis be rejected for the difference between the two groups in change in mobility scores over 12 weeks? Provide a rationale for your answer.
The researchers stated that the participants in the intervention group reported a reduction in mobility difficulty at week 12. Was this result statistically significant, and if so at what probability?
If the researchers had set the level of significance or = 0.01, would the results of p 0.001 still be statistically significant? Provide a rationale for your answer.
If F(3, 60) 4.13, p 0.04, and = 0.01, is the result statistically significant? Provide a rationale for your answer. Would the null hypothesis be accepted or rejected?
Can ANOVA be used to test proposed relationships or predicted correlations between variables in a single group? Provide a rationale for your answer.
If a study had a result of F(2, 147) 4.56, p 0.003, how many groups were in the study, and what was the sample size?
The researchers state that the sample for their study was 28 women with a diagnosis of OA, and that 18 were randomly assigned to the intervention group and 10 were randomly assigned to the control group. Discuss the study strengths and/or weaknesses in this statement.
In your opinion, have the researchers established that guided imagery (GI) with progressive muscle relaxation (PMR) reduces pain and decreases mobility difficulties in women with OA?
The researchers stated that this was a 12-week longitudinal, randomized clinical trial pilot study with 28 women over 65 years of age with the diagnosis of OA. What are some of the possible problems or limitations that might occur with this type of study?
Discussion Questions
If the result of an ANOVA experiment was "not significant", was the experiment a failure? Provide reasoning and examples (real or hypothetical) to support your argument.
What is an interaction? Describe an example; what are the variables within your population (work, social, academic, etc.) for which you might expect interactions?

HLT 362 Week 3 Module 3 InteliBoard Assessment - $9.50

HLT 362 Week 3 Module 3 InteliBoard Assessment

The mean of the sampling distribution is equal to
The standard error of the sampling distribution when we know the population standard deviation is equal to
The standard error of the sampling distribution when we do not know the population standard deviation is equal to
When the population standard deviation is known, the sampling distribution is a
When the population standard deviation is not known, the sampling distribution is a
If the size of the sample is increased the standard error
Independent samples are
Dependent samples are
The usual sampling distribution of the difference between means is a
Two samples are dependent if the members of one sample
For the following data, calculate the sampling distribution parameters
For the following data, calculate the sampling distribution parameters
For the following data, calculate the difference between the means distribution parameters