Running head : EXERCISE 29
1
Exercise 29
GCU 362V
Exercise 29
QUESTION 6
EXERCISE 29
2
Model Summary
Model
1
R
R Square
.108a
.012
Adjusted R
Std. Error of the
Square
Estimate
.043
3.368
a. Predictors: (Constant), StudentAge
The magnitude of the obtained
EXERCISE 33
Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Following ANOVA
1. Do the data meet criteria for homogeneity of variance? Provide a rationale for your answer.
1. When doing a Levens test, you test the equal variances assumption.
Running head : EXERCISE 35
1
Exercise 35
GCU 362V
QUESTION 6
0%. None of the non antibiotic users tested positive for candiduria
EXERCISE 35
2
QUESTION 7
25.86% of veterans with candiduria had a history of antibiotic use. 15/58 X 100% = 25.86
QUESTION 8
0
Running head : EXERCISE 19
1
Exercise 19
GCU 362V
QUESTION 6
EXERCISE 19
2
There will not be any difference for RAAPS users and RAAPS nonusers related to provider age
in years.
QUESTION 7
The null hypothesis should be accepted. When you see that x2 = 4.00
Running head : EXERCISE 14
1
Exercise 14
GCU 362V
QUESTION 6
EXERCISE 14
2
y (wt in kg) = (0.176 x (5 x 12)+7.241
y=(0.176 x 60) + 7.241
y=10.56 + 7.241
y= 17.801 kg at 60 mths /5 yrs of age
QUESTION 7
This is a expected finding. A large standard deviatio
Running head :EXERCISE 33
1
Exercise 33
GCU HLT 362V
QUESTION 6
EXERCISE 33
2
The likelihood of obtaining an F value at least as extreme is considered type 1 error and is equal
to the p value of the observed statistic, which is 1.4%
QUESTION 7
The treatme
Running head :EXERCISE 18
1
Exercise 18
GCU HLT 362V
QUESTION 6
EXERCISE 18
2
While ttests could have been used to analyze the data, they would not have been
appropriate because in this experiment, multiple groups are being compared to each other. Ttests
Running head : EXERCISE 16
1
Exercise 16
GCU NRS 362 V
QUESTION 6
EXERCISE 16
2
The null hypothesis would be that there is no difference in selfreported pain measured
with the Wong Baker Faces Scale. The null hypothesis was rejected because the t value w
Running head : EXERCISE 32
1
Exercise 32
GCU NRS 362V
QUESTION 6
EXERCISE 32
2
The likelihood of making a type 1 error would be the p value obtained. This was 0.019, meaning
there is a 1.9% chance that the null hypothesis is true.
Paired Samples Test
Pai
Running head : EXERCISE 17
1
Exercise 17
GCU NRS 362V
QUESTION 6
EXERCISE 17
2
The t value measures the size of the difference relative to the variation in the sample
population. Therefore, the larger the t value, the greater the difference between sample
Running head : EXERCISE 31
1
Exercise 31
GCU NRS 362V
QUESTION 6
EXERCISE 31
2
The likelihood of making a type 1 error would be the p value obtained. This was 0.001,
meaning there is a 0.1% chance that the null hypothesis is true.
QUESTION 7
Those with t
Running head : EXERCISE 27
1
Exercise 27
GCU HLT 362V
QUESTION 1
Descriptive Statistics
EXERCISE 27
2
N
Minimum
Age
10
Valid N (listwise)
10
Maximum
35
86
Mean
Std. Deviation
56.50
19.260
The mean age of the sample data is 56.50 as indicated above in the
Running head : EXERCISE 8
1
Exercise 8
GCU HLT 362V
QUESTION 6
The mean & median for length of stay is different
EXERCISE 8
2
The distribution of the length of stay is the right skewed of the sample, since the mean is greater than the
mean
If the mean is
Running head : EXERCISE 9
1
Exercise 9
GCU HLT 362V
QUESTION 6
EXERCISE 9
2
Clinical care has the lowest dispersion because the range is 5.0  2.44= 2.56. It has a dispersion
of (sd)= 0.57. Range & SD subscale are less than the others.
QUESTION 7
Comforti
Running head : EXERCISE 6
1
Exercise 6
GCU HLT 362V
EXERCISE 6
2
QUESTION 6
The most commonly reported psychological symptoms was difficulty sleeping (52%), followed
by worrying (33%), feeling irritable (28%), and feeling sad (22%).
There were no signific
Explain the importance of random sampling. What problems/limitations could prevent a truly
random sampling and how can they be prevented?
Probability sampling, also known as random sampling, requires that every member of the study
population have an equal
DQ 1
There are several ways to use the graphics or statistics to represent the data. One can misrepresent the
data by selecting the small sample size which benefits him or her. According to Triola (2010), Bias occurs
when someone intentionally or unintent
DQ 1
A Ztest is any statistical test for which the distribution of the test statistic under the null hypothesis can
be approximated by a normal distribution. Because of the central limit theorem, many test statistics are
approximately normally distribute
DQ 1
How would you explain the analysis of variance, assuming that your audience has not had a statistics
class before?
ANOVA tells you if a set of features reduces the amount of unexplained information more by having the
groupings than by leaving out all
DQ 1
Describe the error in the conclusion. Given: There is a linear correlation between the
number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the
pulse rate increases. Conclusion: Cigarettes cause the pulse rate to incr
Health Care Research Methods, Analysis, and Utilization
HLT 540

Winter 2016
Running head: BROYLES TEXTBOOK PRACTICE EXERCISE 1
Broyles Textbook Practice Exercise
HLT540: Health Care Research Methods, Analysis, and Utilization
BROYLES TEXTBOOK PRACTICE EXERCISE 2
ChiSquare Distribution
The Chi square distribution tables indicat
Interoperability Within All Groups.
In the healthcare industry, interoperability is employed to exchange information or to
utilize the data that is transmitted between multiple systems (Rezaei, Chiew, Lee, and Aliee,
2014). The benefits of using a computa
Health Care Research Methods, Analysis, and Utilization
HLT 540

Winter 2016
Running head: BROYLES TEXTBOOK EXERCISE 1
1
Broyles Textbook Exercise 1
HLT540: Health Care Research Methods, Analysis, and Utilization
BROYLES TEXTBOOK EXERCISE 1
2
1. Use the Regression function in Excel and the data presented in Exercise 2 in Chapter
Health Care Research Methods, Analysis, and Utilization
HLT 540

Winter 2016
Running head: COYNE AND MESSINA ARTICLES: PART II STATISTICAL ASSESSMENT
1
Coyne and Messina Articles: Part II Statistical Assessment
HLT540: Health Care Research Methods, Analysis, and Utilization
2016
COYNE AND MESSINA ARTICLES: PART II STATISTICAL ASS
Running head: CHAPTER 21 QUESTIONS 1
Chapter 21 Questions
HLT 520
2016
CHAPTER 21 QUESTIONS 2
1. Discuss what questions an employer (supervisor) should consider before terminating an
employee.
Termination is the dismissal of an employee by an organization
Health Care Research Methods, Analysis, and Utilization
HLT 540

Winter 2016
Running head: BROYLES TEXTBOOK EXERCISE 7
1
Broyles Textbook Exercise 7
HLT540: Health Care Research Methods, Analysis, and Utilization
A large health maintenance organization is interested in the prescribing patterns of physicians.
BROYLES TEXTBOOK EXER
Health Care Research Methods, Analysis, and Utilization
HLT 540

Winter 2016
Running head: COYNE AND MESSINA ARTICLES: PART 1 ANALYSIS
Coyne and Messina Articles: Part 1  Analysis
HLT540: Health Care Research Methods, Analysis, and Utilization
1
COYNE AND MESSINA ARTICLES: PART 1 ANALYSIS
2
Introduction
This paper will contras
Health Care Research Methods, Analysis, and Utilization
HLT 540

Winter 2016
Running head: COYNE AND MESSINA ARTICLES: PART III SPEARMAN COEFFICIENT
1
Coyne and Messina Articles: Part III  Spearman Coefficient
HLT540: Health Care Research Methods, Analysis, and Utilization
Coyne and Messina Atricles: Part III Spearman Coefficien
Health Care Research Methods, Analysis, and Utilization
HLT 540

Winter 2016
Running head: TECHNOLOGY AND THE ISSUES FACING NURSING ASSESSMENT
1
Technology and the Issues Facing Nursing Assessment
HLT540: Health Care Research Methods, Analysis, and Utilization
TECHNOLOGY AND THE ISSUES FACING NURSING ASSESSMENT
2
Introduction
Thi
Running Head: CHAPTER 20 QUESTIONS
Chapter 20 Questions
HLT 520
CHAPTER 20 QUESTIONS 2
1. Using the hospital as a setting, give two examples of what would violate the NLRA?
The National Labors Relations Act (NLRA) was enacted in 1935 to ensure the right o