EXERCISE 23 & 24
Name: _Josie Donovan
Exercise 23 Pearsons Product Moment Correlation Coefficient
1. What is the r value for the relationship between Hamstring strength index 60/s and the
Shuttle run test? Is this r value significant? Provide a rationale
Topic 2 DQ 2
Explain each sampling technique discussed in the Visual Learner: Statistics
in your own words, and give examples of when each technique would be
appropriate.
The visual learner statistics page includes five types of sampling which are
as foll
Name: Kamie Young Date: 5-13-16
Topic One: Mean, Variance, and Standard Deviatio
Please type your answer in the cell beside the question.
Please type you answer in the cell beside the question.
1. Identify the sampling technique being used. Every 20th pat
Topic2 DQ 1
Explain the importance of random sampling. What problems/limitations could prevent a truly
random sampling and how can they be prevented?
Sampling is a process of selecting subjects who are representative of the population being
studied. Rando
Week 1, DQ 2
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?
Mean, median and mode are all different types of averages u
Exercise 18 Mean, standard deviation, and 95% and 99% of the normal curve
1. -39.46, 50.42
5.48+(1.96 x22.93)= 50.42
5.58-(1.96 x 22.93)= -39.46
2. C. A22.57
3. -10.19, 89.61
39.71+ (1.98 x 25.46)= 89.61
39.71-(1.98 x 25.46)= -10.19
4. -8.03, 113.09
52.53
Exercise 23
1. R= -0.149 which is not significant because there is a weak correlation between the
hamstring strength and the shuttle run test as the r value is less than 0.3.
2. Both r values have strong correlations. +1.00 has a strong positive correlati
Exercise 36
1. There is a significant difference between the treatment and control groups because
the F-value is at the 5% level of significance. The P-value is less than the alpha (0.005
< 0.05). This would suggest rejection of the null hypothesis.
2. Th
Exercise 24
1. The r value listed for the relationship between Avoidance Social Diversion
and Negative items is r = -0.32*
2. This would indicate a weak negative between Avoidance Social Diversion and
Negative items. With negative correlations, one variab
EXERCISE 11
1. The demographic variables measured at the interval level are age, income, length of
labor, return to work and number of hours working per week.
2. The statistics used to describe the length of labor are mean and standard deviation. I
think
Week 1, DQ1
How can graphics and/or statistics be used to misrepresent data? Where
have you seen this done?
Graphics and statistics are an important aspect of most medical studies.
They can also be used to manipulate a persons opinion regarding certain
tr
Name: Josie Donovan
Class: HLT 362V
Date: 12/5/2015
EXERCISE 11 Questions to be Graded
1. What demographic variables were measured at least at the interval
level of measurement?
A: Age, Income, length of labor in hours, Return to work in number of
weeks
Name:Josie Donovan Date:1/15/16
Topic Five: Correlation/Regression and Chi Square
Excel Worksheet
Directions: Answer all problems and submit to instructor at the end of Module 5
SYSTOLIC AND DIASTOLIC BLOOD PRESSURE OF FEMALES
The following table represen
Name: Josie Donovan
Date: 12/18/2015
Hypothesis Testing
Answer each question completely to recieve full credit
1. There is a new drug that is used to treat leukemia. The following data
represents the remission time in weeks for a random sample of 21
patie
Stats Module 5
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 ra
Explain when a z-test would be appropriate over a t-test. This question is a little
confusing to answer but most of you did a good job in answering it. While the most popular
answer is using a test based on sample size, that is really a minor detail. A z
Module 1 stats
Thank you all for the effort that you put forth in answering the questions that I have posed
to you.
How could graphics and/or statistics be used to misrepresent data?
Some examples of inappropriate use of statistics are when you use a mean
Module #4 Wrap Up
Steve Austin
How would you explain the analysis of variance, assuming that your audience has
not had a statistics class before?
This can be a tricky thing to explain but most of you did a great job! Just add a little more
information, an
Name: Josie Donovan
Class: HLT 362V
Date: 12/18/2015
EXERCISE 20 Questions to be Graded
1. Which patient scored the highest on the preoperative CVLT
Acquisition? What was his or her T score? Patient 3 scored the
highest on the preop CVLT Acquisition with
Name: Josie Donovan
Date: 1/4/16
Topic 4: ANOVA Excel Worksheet
Directions: Answer all questions and submit to instructor at the end
of Module 4
Statistical Conclusion: Since my F value of 1.654992 is less than the critical value 3.251923846 This is not
s
Josie Donovan
Exercise 16
1. Interval/ratio
2. 97.12
3. This is an expected finding. The mean was 14.00 baseline and post test score
was 13.36 so the amount of depression decreased as expected.
4. There was no change in depression from the control group.
Name: Josie Donovan
Class: HLT 362V
Date: 12/7/2015
EXERCISE 18 Questions to be Graded
1. 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 value
Name:
Josie Donovan
Date: 12/8/2015
Topic 2: Population and Sampling
Distribution Excel Worksheet
Directions: Answer all questions and submit to instructor at the end of Topic 2
1 A. For a normal distribution that has a mean of 100,
and a standard deviati