HLT362V Grand Canyon Calculating T Tests for Independent Samples Paper

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Mathematics

HLT362V

Grand Canyon University

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  1. Analyze the function of mean, median, and mode, and perform calculations.
  2. Analyze the function of range, standard deviation, and variance, and perform calculations

Requirements: two assignments, week 3, exercise 16-17 and week 3 exercise 31-32 (all multiple choice) Please indicate the multiple choice answer then the required written interpretation.

(exercise 31 and 32 both number 8 questions require a Written (your) interpretation of the results as you would in an APA-formatted journal)

Aug 14th, 2017

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Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 2nd Edition Exercise 16: Understanding Independent Samples t-test Questions to Be Graded 1. What do degrees of freedom (df) mean? A. It is a mathematical concept that describes the freedom of a particular score’s value independent of the other existing scores’ values and the sum of the scores. B. It is a mathematical concept that describes the freedom of a particular score’s value to vary on the other existing scores’ values and the sum of the scores. Answer: Choose an item. Canbulat et al. (2015) did not provide the dfs in their study. Why is it important to know the df for a t ratio? A. The df for t-tests allows us to look up t ratios on a statistical table that includes a distribution of the critical values of t to determine the significance of the t values obtained in a study. B. The df for t-tests allows us to look up t ratios on a statistical table that includes a distribution of the critical values of t to determine the sign (positive or negative) of the t values obtained in a study. Answer: Choose an item. Using the df formula, calculate the df for this study. A. 87 B. 88 C. 174 D. 176 Answer: Choose an item. 2. What are the means and standard deviations (SDs) for age for the Buzzy intervention and control groups? Mean±SD for the Buzzy experimental group and Mean±SD for the control group were: A. 8.05±1.51; 8.31±1.69. Copyright © 2017, Elsevier Inc. All rights reserved. Questions to Be Graded 16-2 B. 8.15±1.51; 8.41±1.69. C. 8.05±1.51; 8.51±1.69. D. 8.25±1.51; 8.61±1.69. Answer: Choose an item. 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 rationale for your answer. A. Independent sample t-test. Appropriate. B. Independent sample t-test. Not appropriate. C. Paired sample t-test. Appropriate. D. Paired sample t-test. Not appropriate. Answer: Choose an item. 3. What are the t value and p value for age? What do these results mean? A. The t=-3.459 and p value=0.005. A significant difference in age between the two treatment groups. B. The t=-2.489 and p value=0.013. A significant difference in age between the two treatment groups. C. The t=-1.489 and p value=0.136. No significant difference in age between the two treatment groups. Answer: Choose an item. 4. What are the assumptions for conducting the independent samples t-test? A. The variable is normally distributed. B. The dependent variable(s) is (are) measured at the interval or ratio levels. C. The two groups have equal variance. D. All observations within each group are independent E. All of the above. Answer: Choose an item. 5. Are the groups in this study independent or dependent? Provide a rationale for your answer. A. The groups in this study are independent since the study participants were randomly assigned to either the intervention group or the control group. B. The groups in this study are not independent since the study participants were not randomly assigned to either the intervention group or the control group. Answer: Choose an item. Copyright © 2017, Elsevier Inc. All rights reserved. Questions to Be Graded 16-3 6. What is the null hypothesis for procedural self-reported pain measured with the Wong Baker Faces Scale (WBFS) for the two groups? A. There is no difference in procedural self-reported pain with the WBFS between the Buzzy intervention and control groups of school age children. B. There is a difference in procedural self-reported pain with the WBFS between the Buzzy intervention and control groups of school age children. Answer: Choose an item. Was this null hypothesis accepted or rejected in this study? Provide a rationale for your answer. A. Accepted (or not rejected). B. Rejected. Answer: Choose an item. 7. Should a Bonferroni procedure be conducted in this study? Provide a rationale for your answer. A. Yes, in order to control Type I error, because there were multiple t-tests performed. B. No, because no multiple tests were performed. Answer: Choose an item. 8. What variable has a result of t = −6.135, p = 0.000? A. Procedural self-reported pain with WBFS B. Procedural self-reported pain with VAS C. Procedural anxiety level Answer: Choose an item. What does the result mean? A. There is a significant difference between the two groups in the variable of interest. B. There is no significant difference between the two groups in the variable of interest. Answer: Choose an item. Copyright © 2017, Elsevier Inc. All rights reserved. Questions to Be Graded 16-4 9. 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 rationale for your answer. A. It would be expected B. It would be unexpected that if both WBFS and VAS are reliable and valid methods of measuring pain that the results would be consistent and in this case statistically significant for both measurement methods. Answer: Choose an item. 10. Describe one potential clinical benefit for pediatric patients to receive the Buzzy intervention that combined cold and vibration during IV insertion. A. Decreased pain and anxiety levels. B. Nonpharmacological C. fast-acting, inexpensive, and easy to use D. A & B E. A & B & C Answer: Choose an item. Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 2nd Edition Exercise 17: Understanding Paired or Dependent Samples t-test 1. What are the assumptions for conducting a paired or dependent samples t-test in a study? A. The distribution of scores is normal or approximately normal B. The dependent variable is measured at interval or ratio levels C. Repeated measures from one group of subjects where they serve as their own control D. The differences between the paired scores are independent E. The repeated measures for one subject are independent F. A to D G. A to E Answer: Choose an item. Which of these assumptions do you think were met by the Lindseth et al. (2014) study? A. A to D in the previous sub-question. B. A to E in in the previous sub-question. Answer: Choose an item. Copyright © 2017, Elsevier Inc. All rights reserved. Questions to Be Graded 16-5 2. In the introduction, Lindseth et al. (2014) described a “2-week washout between diets.” What does this mean? Why is this important? A. A period to clear their bodies of the level of aspartame consumed over the previous 8 days. It is important because the effects of the first invention can be reduced or removed so that they do not affect the outcome of the second intervention. B. A period to wait for the effect of aspartame consumed over the previous 8 days. It is important because the effects of the first invention can be considered and evaluated again for the second intervention. Answer: Choose an item. 3. What is the paired t-test value for mood (irritability) between the participants’ consumption of high- versus low-aspartame diets? Is this result statistically significant? Provide a rationale for your answer. A. 3.2. Significant, because p
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Explanation & Answer

Hi there,Attached please find the completed solutions with all correct answers highlighted. Thanks again,Selenica

Statistics for Nursing Research: A Workbook for Evidence-Based Practice,
2nd Edition
Use MS Word to complete "Questions to be Graded: Exercises 31 and 32" in Statistics for
Nursing Research: A Workbook for Evidence-Based Practice. Submit your work in SPSS by
copying the output and pasting into the Word document. In addition to the SPSS output, please
include explanations of the results where appropriate. Please attach your SPSS supporting
material (tables, graphs) at the end of this file
Exercise 31: Calculating t-tests for Independent Samples
Questions to Be Graded

Name:______________________________________ Class: ______________________
Date: ___________________________________________________________________
The following questions refer to the section called “Data for Additional Computational
Practice” in Exercise 31 of Grove & Cipher, 2017.
1. Do the example data meet the assumptions for the independent samples t-test?
A. Yes, meet the assumptions.
B. No, not meet the assumptions.
Answer: Choose an item.
Provide a rationale for your answer.
A. The dependent variable is normally distributed or approximately distributed.
B. Measured at interval or ratio levels
C. The two samples have equal variance, as evidenced by the non-signficant Levene’s test
for equality of variance.
D. All observations within each sample are independent.
E. A to C.
F. A to D.
Answer: Choose an item.
2. 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?
A. Approximately normal if calculating by hand; The S-W test is not significant.
B. A is not true.
Answer: Choose an item.

3.
A.
B.
C.

What are the means for two group’s wages earned?
$212.20 and $143.40
$222.70 and $124.40
$232.70 and $128.40
Answer: Choose an item.
Descriptives
group

wages

4.
A.
B.
C.
D.

Statistic

Std. Error

1

Mean

232.7000

20.65755

2

Mean

128.4000

13.60572

What is the independent samples t-test value?
1.22
2.22
3.22
4.22
Answer: Choose an item.
Independent Samples Test

Levene's Test
for Equality of
Variances

t-test for Equality of Means
95% Confidence Interval

Sig.

F
wages Equal

2.477

Sig.

of the Difference

(2-

Mean

Std. Error

tailed)

Difference

Difference

18

.001

104.30000

24.73560

52.33243

156.26757

4.217 15.572

.001

104.30000

24.73560

51.74540

156.85460

t

.133 4.217

df

Lower

Upper

variances
assumed
Equal
variances
not
assumed

5.
A.
B.
C.
D.

Is the t-test significant at a = 0.05? Specify how you arrived at your answer.
Yes, its absolute value is greater than the critical value for α=0.05.
Yes, its absolute value is less than the critical value for α=0.05.
No, its absolute value is greater than the critical value for α=0.05.
No, its absolute value is less than the critical value for α=0.05.
Answer: Choose an item.

6. 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?
A. 0.1
B. 0.05...

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