# Nursing

## Tutorials

### 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 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 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 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

### HLT 362 Week 3 Module 3 Exercise 31 - $9.50

**HLT 362 Week 3 Module 3 Exercise 31**

Module 3 Exercise 31

What are the two groups whose results are reflected by the t ratios in Tables 2 and 3?

Which t ratio in Table 2 represents the greatest relative or standardized difference between the pretest and 3 months outcomes? Is this t ratio statistically significant? Provide a rationale for your answer.

Which t ratio listed in Table 3 represents the smallest relative difference between the pretest and 3 months? Is this t ratio statistically significant? What does this result mean?

What are the assumptions for conducting a t-test for dependent groups in a study? Which of these assumptions do you think were met by this study?

Compare the 3 months and 6 months t ratios for the variable Exercise from Table 3. What is your conclusion about the long-term effect of the health-promotion intervention on Exercise in this study?

What is the smallest, significant t ratio listed in Table 2? Provide a rationale for your answer.

Why are the larger t ratios more likely to be statistically significant?

Did the health-promotion program have a statistically significant effect on Systolic blood pressure (BP) in this study? Provide a rationale for your answer.

Examine the means and standard deviations for Systolic BP at pretest, 3 months (completion of the treatment), and 6 months. What do these results indicate? Are these results clinically important? Provide a rationale for your answer.

Is this study design strong or weak? Provide a rationale for your answer.

Would you, as a health care provider, implement this intervention at your facility based on the Total Risk Score results? Provide a rationale for your answer.

### HLT 362 Week 1 Module 2 Population Sampling Distribution - $9.50

HLT 362 Week 1 Module 2 Population Sampling Distribution

### HLT 362 Week 1 Module 1 Exercise 16 - $9.50

**HLT 362 Week 1 Module 1 Exercise 16**

Module 1 Exercise 16

The researchers analyzed the data they collected as though it were at what level of measurement? (Your choices are: Nominal, Ordinal, Interval/ratio, or Experimental)

What was the mean posttest empowerment score for the control group?

Compare the mean baseline and posttest depression scores of the experimental group. Was this an expected finding? Provide a rationale for your answer.

Compare the mean baseline and posttest depression scores of the control group. Do these scores strengthen or weaken the validity of the research results? Provide a rationale for your answer.

Which group’s test scores had the least amount of variability or dispersion? Provide a rationale for your answer.

Did the empowerment variable or self-care self-efficacy variable demonstrate the greatest amount of dispersion? Provide a rationale for your answer.

The mean (X ̅) is a measure of a distribution while the SD is a measure of its scores. Both X ̅ and SD are statistics.

What was the mean severity for renal disease for the research subjects? What was the dispersion or variability of the renal disease severity scores? Did the severity scores vary significantly between the control and the experimental groups? Is this important? Provide a rationale for your answer.

Which variable was least affected by the empowerment program? Provide a rationale for your answer.

Was it important for the researchers to include the total means and SDs for the study variables in Table 2 to promote the readers’ understanding of the study results? Provide a rationale for your answer.