HLT 362V Education Organization - snaptutorial.com

HLT 362V Week 1 Assignment Workbook
Exercise 6, 8, 9, 11, 16, 27 NEW
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Exercise 6
What are the frequency and percentage of the COPD patients in the
severe airflow limitation group who are employed in the Eckerblad et
al. (2014) study?
What percentage of the total sample is retired? What percentage of the
total sample is on sick leave?
What is the total sample size of this study? What frequency and
percentage of the total sample were still employed? Show your
calculations and round your answer to the nearest whole percent.
What is the total percentage of the sample with a smoking history—
either still smoking or former smokers? Is the smoking history for
study participants clinically important? Provide a rationale for your
answer.
What are pack years of smoking? Is there a significant difference
between the moderate and severe airflow limitation groups regarding
pack years of smoking? Provide a rationale for your answer.
What were the four most common psychological symptoms reported
by this sample of patients with COPD?

What percentage of these subjects experienced these symptoms? Was
there a significant difference between the moderate and severe airflow
limitation groups for psychological symptoms?
What frequency and percentage of the total sample used short-acting
β 2 -agonists? Show your calculations and round to the nearest whole
percent.
Is there a significant difference between the moderate and severe
airflow limitation groups regarding the use of short-acting β 2 -
agonists? Provide a rationale for your answer.
Was the percentage of COPD patients with moderate and severe
airflow limitation using short-acting β 2 -agonists what you expected?
Provide a rationale with documentation for your answer.
Are these findings ready for use in practice? Provide a rationale for
your answer.
Exercise 8
The number of nursing students enrolled in a particular nursing
program between the years of 2010 and 2016, respectively, were 563,
593, 606, 520, 563, 610, and 577. Determine the mean ( X ), median (
MD ), and mode of the number of the nursing students enrolled in this
program. Show your calculations.
What is the mode for the variable inpatient complications in Table 2
of the Winkler et al. (2014) study? What percentage of the study
participants had this complication?
Does the distribution of inpatient complications have a single mode,
or is this distribution bimodal or multimodal? Provide a rationale for
your answer.

4. As reported in Table 1 , what are the three most common
cardiovascular medical history events in this study, and why is it
clinically important to know the frequency of these events?
What are the mean and median lengths of stay (LOS) for the study
participants?
Are the mean and median for LOS similar or different? What might
this indicate about the distribution of the sample? Provide a rationale
for your answer.
Examine the study results and determine the mode for arrhythmias
experienced by the partici-pants. What was the second most common
arrhythmia in this sample?
Was the most common arrhythmia in Question 7 related to LOS? Was
this result statistically significant? Provide a rationale for your
answer.
What study variables were independently predictive of the 50
premature ventricular contractions (PVCs) per hour in this study?
In Table 1 , what race is the mode for this sample? Should these study
fi ndings be generalized to American Indians with ACS? Provide a
rationale for your answer.
Exercise 9
What were the name and type of measurement method used to
measure Caring Practices in the Roch, Dubois, and Clarke (2014)
study?
The data collected with the scale identified in Questions 1 were at
what level of measurement? Provide a rationale for your answer.

What were the subscales included in the CNPISS used to measure
RNs ’ perceptions of their Caring Practices? Do these subscales seem
relevant? Document your answer.
Which subscale for Caring Practices had the lowest mean? What does
this result indicate?
What were the dispersion results for the Relational Care subscale of
the Caring Practices in Table 2 ? What do these results indicate?
Which subscale of Caring Practices has the lowest dispersion or
variation of scores? Provide a rationale for your answer.
Which subscale of Caring Practices had the highest mean? What do
these results indicate?
Compare the Overall rating for Organizational Climate with the
Overall rating of Caring Practices. What do these results indicate?
The response rate for the survey in this study was 45%. Is this a study
strength or limitation? Provide a rationale for your answer.
What conclusions did the researchers make regarding the caring
practices of the nurses in this study? How might these results affect
your practice?
Exercise 11
What demographic variables were measured at least at the interval
level of measurement?
What statistics were used to describe the length of labor in this study?
Were these appropriate?
What other statistic could have been used to describe the length of
labor? Provide a rationale for your answer.

Were the distributions of scores similar for the experimental and
control groups for the length of labor? Provide a rationale for your
answer.
Were the experimental and control groups similar in their type of
feeding? Provide a rationale for your answer.
What was the marital status mode for the subjects in the experimental
and control groups? Provide both the frequency and percentage for
the marital status mode for both groups.
Could a median be determined for the education data? If so, what
would the median be for education for the experimental and the
control groups? Provide a rationale for your answer.
Can the findings from this study be generalized to Black women?
Provide a rationale for your answer.
If there were 32 subjects in the experimental group and 36 subjects in
the control group, why is the income data only reported for 30
subjects in the experimental group and 34 subjects in the control
group?
Was the sample for this study adequately described? Provide a
Exercise 16
The researchers analyzed the data they collected as though it were at
what level of measurement?
1. Nominal
2. Ordinal
3. Interval/ratio

4. 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
Which variable was least affected by the empowerment program?
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.

Exercise 27
What is the mean age of the sample data?
What percentage of patients never used tobacco?
What is the standard deviation for age?
Are there outliers among the values of age? Provide a rationale for
your answer.
What is the range of age values?
What percentage of patients were taking inﬂiximab?
What percentage of patients had rheumatoid arthritis as their primary
diagnosis?
What percentage of patients had irritable bowel syndrome as their
primary diagnosis?
What is the 95% CI for age?
What percentage of patients had psoriatic arthritis as their primary
diagnosis?
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HLT 362V Week 1 Discussion Question 1 How
Can Graphics and Statistics be Used to
Misrepresent Data NEW

How can graphics and/or statistics be used to misrepresent data?
Where have you seen this done?
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HLT 362V Week 1 Discussion Question 2
What Are The Characteristics Of A Population
NEW
What are the characteristics of a population for which it would be
appropriate to use mean/median/mode? When would the
characteristics of a population make them inappropriate to use?
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Exercise 10,18, 26 NEW

Exercise # 10
What demographic variables were measured at the nominal level of
measurement in the Oh et al. (2014) study? Provide a rationale for
your answer.
What statistics were calculated to describe body mass index (BMI) in
this study? Were these appropriate? Provide a rationale for your
answer.
Were the distributions of scores for BMI similar for the intervention
and control groups? Provide a rationale for your answer.
Was there a significant difference in BMI between the intervention
and control groups? Provide a rationale for your answer.
Based on the sample size of N = 41, what frequency and percentage
of the sample smoked? What frequency and percentage of the sample
were nondrinkers (alcohol)? Show your calculations and round to the
nearest whole percent.
What measurement method was used to measure the bone mineral
density (BMD) for the study participants? Discuss the quality of this
measurement method and document your response.
What statistic was calculated to determine differences between the
intervention and control groups for the lumbar and femur neck
BMDs? Were the groups significantly different for BMDs?

The researchers stated that there were no significant differences in the
baseline characteristics of the intervention and control groups (see
Table 2). Are these groups heterogeneous or homogeneous at the
beginning of the study? Why is this important in testing the effec-
tiveness of the therapeutic lifestyle modification (TLM) program?
Oh et al. (2014, p. 296) stated that “the adherence rate to the TLM
program was 99.6%.” Discuss the importance of intervention
adherence, and document your response.
Was the sample for this study adequately described? Provide a
Exercise # 18
Assuming that the distribution is normal for weight relative to the
ideal and 99% of the male participants scored between (–53.68,
64.64), where did 95% of the values for weight relative to the ideal
lie? Round your answer to two decimal places.
Which of the following values from Table 1 tells us about variability
of the scores in a distribution? a. 60.22
b. 11.94 c. 22.57 d. 53.66
Assuming that the distribution for General Health Perceptions is
normal, 95% of the females’ scores around the mean were between
what values? Round your answer to two decimal places.
Assuming that the distribution of scores for Pain is normal, 95% of
the men’s scores around the mean were between what two values?
Round your answer to two decimal places.
Were the body image scores signiﬁcantly different for women versus
men? Provide a rationale for your answer.

Assuming that the distribution of Mental Health scores for men is
normal, where are 99% of the men’s mental health scores around the
mean in this distribution? Round your answer to two decimal places.
Assuming that the distribution of scores for Physical Functioning in
women is normal, where are 99%of the women’s scores around the
mean in this distribution? Round your answer to two decimal places.
Assuming that the distribution of scores is normal, 99% of HIV-
positive body image scores around the mean were between what two
values? Round your answer to two decimal places.
Assuming that the distribution of scores for Role Functioning is
normal, 99% of the men’s scores around the mean were between what
values? Round your answer to two decimal places.
What are some of the limitations of this study that decrease the
potential for generalizing the findings to the target population?
Exercise # 26
Plot the frequency distribution for “Age at Enrollment” by hand or by
using SPSS.
How would you characterize the skewness of the distribution in
Question 1—positively skewed, negatively skewed, or approximately
normal? Provide a rationale for your answer.
Compare the original skewness statistic and Shapiro-Wilk statistic
with those of the smaller dataset (n = 15) for the variable “Age at First
Arrest.” How did the statistics change, and how would you explain
these differences?

Plot the frequency distribution for “Years of Education” by hand or
by using SPSS.
How would you characterize the kurtosis of the distribution in
Question 4————, mesokurtic, or platykurtic? Provide a rationale
for your answer.
What is the skewness statistic for “Age at Enrollment”? How would
you characterize the magnitude of the skewness statistic for “Age at
Enrollment”?
What is the kurtosis statistic for “Years of Education”? How would
you characterize the magnitude of kurtosis for “Years of Education”?
Using SPSS, compute the Shapiro-Wilk statistic for “Number of
Times Fired from Job.” What would you conclude from the results?
In the SPSS output table titled “Tests of Normality,” the Shapiro-Wilk
statistic is reported along with the Kolmogorov-Smirnov statistic.
Why is the Kolmogorov-Smirnov statistic inappropriate to report for
these example data?
How would you explain the skewness statistic for a particular
frequency distribution being low and the Shapiro-Wilk statistic still
being significant at p < 0.05?
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Explain The Importance Of Random Sampling
NEW

Explain the importance of random sampling. What
problems/limitations could prevent a truly random sampling and how
can they be prevented?
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HLT 362V Week 2 Discussion Question 2 How
Large Would Your Population NEW
How large would your population have to be for a sample to be
appropriate (i.e., rather than measuring the whole population)?
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Exercise 16, 17, 20, 31 and 32 NEW

Exercise # 16: Understanding Independent Samples t-Test
What do degrees of freedom (df ) mean? Canbulat et al. (2015) did
not provide the dfs in their study. Why is it important to know the df
for a t ratio? Using the df formula, calculate the df for this study.
What are the means and standard deviations (SDs) for age for the
Buzzy intervention and control groups? What statistical analysis is
conducted to determine the difference in means for age for the two
groups? Was this an appropriate analysis technique? Provide a
What are the t value and p value for age? What do these results mean?
What are the assumptions for conducting the independent samples t-
test?
Are the groups in this study independent or dependent? Provide a
What is the null hypothesis for procedural self-reported pain
measured with the Wong Baker Faces Scale (WBFS) for the two
groups? Was this null hypothesis accepted or rejected in this study?
Should a Bonferroni procedure be conducted in this study? Provide a
What variable has a result of t = −6.135, p = 0.000? What does this
result mean?
In your opinion, is it an expected or unexpected finding that both t
values on Table 2 were found to be statistically significant. Provide a

Describe one potential clinical benefit for pediatric patients to receive
the Buzzy intervention that combined cold and vibration during IV
insertion.
Exercise # 17
Understanding Paired or Dependent Samples t-Test
What are the assumptions for conducting a paired or dependent
samples t-test in a study? Which of these assumptions do you think
were met by the Lindseth et al. (2014) study?
In the introduction, Lindseth et al. (2014) described a “2-week
washout between diets.” What does this mean? Why is this important?
What is the paired t-test value for mood (irritability) between the
participants’ consump¬tion of high- versus low-aspartame diets? Is
the result statistically significant? Provide a rationale for your answer.
State the null hypothesis for mood (irritability) that was tested in this
study. Was this hypothesis accepted or rejected? Provide a rationale
for your answer.
Which t value in Table 2 represents the greatest relative or
standardized difference between the high- and low-aspartame diets? Is
this t value statistically significant? Provide a rationale for your
answer.
Discuss why the larger t values are more likely to be statistically
significant.
Discuss the meaning of the results regarding depression for this study.
What is the clinical importance of this result?

What is the smallest, paired t-test value in Table 2? Why do you think
the smaller t values are not statistically significant?
Discuss the statistical and clinical importance of these study results
about the consump¬tion of aspartame. Document your answer with a
relevant source.
Are these study findings related to the consumption of high- and low-
aspartame diets ready for implementation in practice? Provide a
Exercise # 20
Which patient scored the highest on the preoperative CVLT
Acquisition? What was his or her T score?
Which patient scored the lowest on postoperative CVLT Retrieval?
What was this patient’s T score?
Did the patient in Question 2 have more of a memory performance
decline than average on the CVLT Retrieval? Provide a rationale for
your answer.
What is the mean ( ) and standard deviation (SD) for preoperative T
score for CVLT Acquisition?
Is the preoperative Retrieval T score for Patient 5 above or below the
mean for the norm of the group? Provide a rationale for your answer.
Assuming that the distribution of the preoperative CVLT Retrieval T
scores is normal, the middle 68% of the patients had T scores between
what two values?
Assuming that the distribution of scores for the postoperative CVLT
Retrieval T scores is normal, the middle 68% of the patients had T
scores between what two values?

The researchers state that it appears that the functional integrity of the
left temporal lobe, despite evidence of structural abnormality, plays a
considerable role when it comes to memory outcomes following left
ATL. Can the findings from this study be generalized to a larger
population? Provide a rationale for your answer.
If a patient had a raw score = 30, what would his/her postoperative
CVLT Retrieval T score be?
Did patients demonstrate more postoperative memory declines among
CVLT Retrieval T scores than CVLT Acquisition T scores?
Exercise # 31: Calculating t-tests for Independent Samples
Do the example data meet the assumptions for the independent
samples t-test? Provide a rationale for your answer.
If calculating by hand, draw the frequency distributions of the
dependent variable, wages earned. What is the shape of the
distribution? If using SPSS, what is the result of the Shapiro-Wilk test
of normality for the dependent variable?
What are the means for two group’s wages earned?
What is the independent samples t-test value?
Is the t-test significant at a = 0.05? Specify how you arrived at your
answer.
If using SPSS, what is the exact likelihood of obtaining a t-test value
at least as extreme or as close to the one that was actually observed,
assuming that the null hypothesis is true?
Which group earned the most money post-treatment?

Write your interpretation of the results, as you would in an APA-
formatted journal.
What do the results indicate regarding the impact of the supported
employment voca¬tional rehabilitation on wages earned?
Was the sample size adequate to detect significant differences
between the two groups in this example? Provide a rationale for your
answer.
Exercise # 32: Calculating t-tests for Paired (Dependent) Samples
Do the data meet the assumptions for the paired samples t-test?
Provide a rationale for your
If calculating by hand, draw the frequency distributions of the two
variables. What are the shapes of the distributions? If using SPSS,
what are the results of the Shapiro-Wilk tests of normality for the two
variables?
What are the means for the baseline and post-treatment affective
distress scores, respectively?
What is the paired samples t-test value?
Is the t-test significant at α = 0.05? Specify how you arrived at your
answer.
If using SPSS, what is the exact likelihood of obtaining a t-test value
at least as extreme as or as close to the one that was actually observed,
On average, did the affective distress scores improve or deteriorate
over time? Provide a rationale for your answer.
Write your interpretation of the results as you would in an APA-
formatted journal.

What do the results indicate regarding the impact of the rehabilitation
on emotional dis¬tress levels?
What are the weaknesses of the design in this example?
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Explain When a Z-Test Would Be Appropriate
Over a T-Test NEW
Explain when a z-test would be appropriate over a t-test.
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Researchers Routinely Choose An α-Level of
0.05 For Testing Their Hypotheses NEW

Researchers routinely choose an α-level of 0.05 for testing their
hypotheses. What are some experiments for which you might want a
lower α -level (e.g. 0.01)? What are some situations in which you
might accept a higher level (e.g. 0.1)?
Exercise 18, 33 and 36 NEW
Mayland et al. (2014) do not provide the degrees of freedom (df) in
their study. Use the degrees of freedom formulas provided at the
beginning of this exercise to calculate the group df and the error df.
What is the F value and p value for spiritual need—patient? What do
these results mean?
What is the post hoc result for facilities for the hospital with LCP vs.
the hospital without LCP (see Table 2)? Is this result statistically
signiﬁcant? In your opinion, is this an expected ﬁnding?
What are the assumptions for use of ANOVA?
What variable on Table 3 has the result F = 10.6, p < 0.0001? What
does the result mean?
ANOVA was used for analysis by Mayland et al. (2014). Would t-
tests have also been appropriate? Provide a rationale for your answer.
What type post hoc analysis was performed? Is the post hoc analysis
performed more or less conservative than the Scheffé test?

State the null hypothesis for care for the three study groups (see Table
2). Should the null hypothesis be accepted or rejected? Provide a
What are the post hoc results for care? Which results are statistically
significant? What do the results mean?
In your opinion, do the study findings presented in Tables 2 and 3
have implications for end-of-life care? Provide a rationale for your
answer.
Exercise # 33: Calculating Analysis of Variance (ANOVA) and Post
Hoc Analyses Following ANOVA
Do the data meet criteria for homogeneity of variance? Provide a
If calculating by hand, draw the frequency distribution of the
dependent variable, hours worked. What is the shape of the
distribution? If using SPSS, what is the result of the Shapiro-Wilk test
of normality for the dependent variable
What are the means for three groups’ hours worked on a job?
What are the F value and the group and error df for this set of data?
Is the F significant at α = 0.05? Specify how you arrived at your
answer.
If using SPSS, what is the exact likelihood of obtaining an F value at
least as extreme as or as close to the one that was actually observed,

Which group worked the most weekly job hours post-treatment?
Proved a rationale for your answer.
formatted journal.
Is there a difference in your final interpretation when comparing the
results of the LSD post hoc test versus Tukey HSD test?
If the researcher decided to combine the two Treatment as Usual
groups to represent an overall “Control” group, then there would be
two groups to compare: Supported Employment versus Control. What
would be the appropriate statistic to address the difference in hours
worked between the two groups?
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. …….. 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?
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HLT 362V Week 4 Discussion Question 1 If
The Result Of An ANOVA Experiment Was
“not Significant” NEW

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.
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What Is An Interaction NEW
What is an interaction? Describe an example; what are the variables
within your population (work, social, academic, etc.) for which you
might expect interactions?
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Exercise 14 and 19, 23 24, 29 and 35 NEW

Exercise # 14: Understanding Simple Linear Regression
According to the study narrative and Figure 1 in the Flannigan et al.
(2014) study, does the APLS UK formulae under- or overestimate the
weight of children younger than 1 year of age? Provide a rationale for
your answer.
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.
Figure 1, what is the predicted weight in kilograms for a child at 2
months of age? Show your calculations.
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.
Figure 2, what is the predicted weight in kilograms for a child 3 years
of age? Show your calculations.
Figure 2, what is the predicted weight in kilograms for a child 5 years
of age? Show your calculations.
In Figure 3, some of the actual mean weights represented by the 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.
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 years old? Show your calculations.

Was the sample size of this study adequate for conducting simple
linear regression? Provide a rationale for your answer.
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.
Exercise # 19: Understanding Pearson Chi-Square
According to the relevant study results section of the Darling-Fisher
et al. (2014) study, what categories are reported to be statistically
significant?
What level of measurement is appropriate for calculating the χ2
statistic? Give two exam¬ples from Table 2 of demographic variables
measured at the level appropriate for χ2.
What is the χ2 for U.S. practice region? Is the χ2 value statistically
significant? Provide a rationale for your answer. X2= 29.68; p= <.00
What is the df for provider type? Provide a rationale for why the df
for provider type pre¬sented in Table 2 is correct.
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.
State the null hypothesis for provider age in years for RAAPS users
and RAAPS nonusers.
Should the null hypothesis for provider age in years developed for
Question 6 be accepted or rejected? Provide a rationale for your
answer.

Describe at least one clinical advantage and one clinical challenge of
using RAAPS as described by Darling-Fisher et al. (2014).
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.
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.
Exercise # 23
What is the r value for the relationship between Hamstring strength
index 60Â°/s and the Shuttle run test? Is this r value significant?
Consider r = 1.00 and r = -1.00. Which r value is stronger? Provide a
Describe the direction of the relationship between the Hamstring
strength index 60Â°/s and the Shuttle run test.
Without using numbers, describe the relationship between the
Hamstring strength index 120Â°/s and the Triple hop index.
Which variable has the weakest relationship with the Quadriceps
strength index 120Â°/s? Provide a rationale for your answer.
Which of the following sets of variables has the strongest
relationship?
a. Hamstring strength index 120Â°/s and the Hop index

b. Quadriceps strength index 60Â°/s and the Carioca test
c. Quadriceps strength index 120Â°/s and the Side step test
d. Quadriceps strength index 60Â°/s and the Triple hop index
In Table 5, two r values are reported as r = -0.498 and r = -0.528.
Describe each r value in words, indicating which would be more
statistically significant, and provide a rationale for your answer.
The researchers stated that the study showed a positive, significant
correlation between Quadriceps strength indices and pre- and
postoperative functional stability. Considering the data presented in
the Table 5, do you agree with their statement? Provide a rationale for
your answer.
The researchers stated that no significant relationship could be
described between Hamstring strength indices 60Â°/s and functional
stability. Given the data in Table 5, explain why not.
Consider the relationship reported for the Quadriceps strength index
120Â°/s and the Hop index (r = 0.744**, p = 0.000 ). What do these r
and p values indicate related to statistical significance and clinical
importance?
Exercise # 24
What is the r value listed for the relationship between variables 4 and
9?
Describe the correlation r = -0.32** using words. Is this a statistically
significant correlation? Provide a rationale for your answer.

Calculate the percentage of variance explained for r = 0.53. Is this
correlation clinically important? Provide a rationale for your answer.
According to Table 2, r = 0.15 is listed as the correlation between
which two items? Describe this relationship. What is the effect size
for this relationship, and what size sample would be needed to detect
this relationship in future studies?
Calculate the percentage of variance explained for r = 0.15. Describe
the clinical importance of this relationship.
Which two variables in Table 2, have the weakest correlation, or r
value? Which relationship is the closest to this r value? Provide a
Is the correlation between LOT-R Total scores and Avoidance-
Distraction coping style statistically significant? Is this relationship
relevant to practice? Provide rationales for your answers.
Is the correlation between variables 9 and 4 significant? Is this
correlation relevant to practice? Provide a rationale for your answer.
Consider two values, r = 0.08 and r = -0.58. Describe them in
relationship to each other. Describe the clinical importance of both r
values.
Examine the Pearson r values for LOT-R Total, which measured
Optimism with the Task and Emotion Coping Styles. What do these
results indicate? How might you use this information in your
practice?
BONUS QUESTION
One of the study goals was to examine the relationship between
optimism and psychopathology. Using the data in Table 2, formulate

an opinion regarding the overall correlation between optimism and
psychopathology. Provide a rationale for your answer.
Exercise # 29: Calculating Simple Linear Regression
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?
State the null hypothesis where age at enrollment is used to predict
the time for comple¬tion of an RN to BSN program.
What is b as computed by hand (or using SPSS)?
What is a as computed by hand (or using SPSS)?
Write the new regression equation.
How would you characterize the magnitude of the obtained R2 value?
How much variance in months to RN to BSN program completion is
explained by knowing the student’s enrollment age?
What was the correlation between the actual y values and the
predicted y values using the new regression equation in the example?
formatted journal.
Given the results of your analyses, would you use the calculated
regression equation to predict future students’ program completion
time by using enrollment age as x? Provide a rationale for your
answer.

Exercise # 35: Calculating Pearson Chi-Square
Do the example data in Table 35-2 meet the assumptions for the
Pearson χ2 test? Provide a rationale for your answer.
2. Compute the χ2 test. What is the χ2 value? 11.931
Is the χ2 significant at α =0.05? Specify how you arrived at your
answer.
If using SPSS, what is the exact likelihood of obtaining the χ2 value
at least as extreme as or as close to the one that was actually observed,
Using the numbers in the contingency table, calculate the percentage
of antibiotic users who tested positive for candiduria.
of non-antibiotic users who tested negative for candiduria.
of veterans with candiduria who had a history of antibiotic use.
of veterans with candiduria who had no history of antibiotic use.
formatted journal.
Was the sample size adequate to detect differences between the two
groups in this example? Provide a rationale for your answer.
****************************************************

Describe The Error in The Conclusion NEW
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 increase.
****************************************************
HLT 362V Week 5 Discussion Question 2 Now
That You Are Familiar With The Basic
Concepts Of Statistics NEW
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?
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